137 results on '"Koetz, Benjamin"'
Search Results
2. Earth Observation for Water Resource Management and Sustainable Development
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Rasmussen, Mads O., Guzinski, Radoslaw, Tøttrup, Christian, Riffler, Michael, Paginini, Marc, Koetz, Benjamin, Froehlich, Annette, Series Editor, Heinzmann, Dirk, Associate Editor, Siebrits, André, Associate Editor, Aschbacher, Josef, Advisory Editor, Bayala, Rigobert, Advisory Editor, Caballero León, Carlos, Advisory Editor, Consolmagno, Guy, Advisory Editor, de Dalmau, Juan, Advisory Editor, El Hadani, Driss, Advisory Editor, Gashut, El Hadi, Advisory Editor, Martinez, Peter, Advisory Editor, Mendieta-Jiménez, Francisco Javier, Advisory Editor, Menicocci, Félix Clementino, Advisory Editor, Mostert, Sias, Advisory Editor, Munsami, Val, Advisory Editor, Olsen, Greg, Advisory Editor, Oussedik, Azzedine, Advisory Editor, Pasco, Xavier, Advisory Editor, Román M., Alejandro J., Advisory Editor, Schrogl, Kai-Uwe, Advisory Editor, Tilmans, Dominique, Advisory Editor, Tortora, Jean-Jacques, Advisory Editor, and Wade, Souleye, editor
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- 2019
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3. Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world
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Defourny, Pierre, Bontemps, Sophie, Bellemans, Nicolas, Cara, Cosmin, Dedieu, Gérard, Guzzonato, Eric, Hagolle, Olivier, Inglada, Jordi, Nicola, Laurentiu, Rabaute, Thierry, Savinaud, Mickael, Udroiu, Cosmin, Valero, Silvia, Bégué, Agnès, Dejoux, Jean-François, El Harti, Abderrazak, Ezzahar, Jamal, Kussul, Nataliia, Labbassi, Kamal, Lebourgeois, Valentine, Miao, Zhang, Newby, Terrence, Nyamugama, Adolph, Salh, Norakhan, Shelestov, Andrii, Simonneaux, Vincent, Traore, Pierre Sibiry, Traore, Souleymane S., and Koetz, Benjamin
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- 2019
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4. Evaluating European ECOSTRESS Hub Evapotranspiration Products Across a Range of Soil‐Atmospheric Aridity and Biomes over Europe
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Hu, Tian, primary, Mallick, Kaniska, additional, Hitzelberger, Patrik, additional, Didry, Yoanne, additional, Boulet, Gilles, additional, Szantoi, Zoltan, additional, Koetz, Benjamin, additional, Alonso, Itziar, additional, Pascolini‐Campbell, Madeleine, additional, Halverson, Gregory, additional, Cawse‐Nicholson, Kerry, additional, Hulley, Glynn C., additional, Hook, Simon, additional, Bhattarai, Nishan, additional, Olioso, Albert, additional, Roujean, Jean‐Louis, additional, Gamet, Philippe, additional, and Su, Bob, additional
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- 2023
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5. Coral reefs in Fatu Huku Island, Marquesas Archipelago, French Polynesia
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Collin, Antoine, primary, Laporte, Jean, additional, Koetz, Benjamin, additional, Martin-Lauzer, François-Régis, additional, and Desnos, Yves-Louis, additional
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- 2020
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6. List of contributors
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Abernethy, C., primary, Acoba, T., additional, Alvarez, Belinda, additional, Amado Filho, Gilberto M., additional, Amblas, D., additional, Angeletti, Lorenzo, additional, Archer, S.K., additional, Aschoff, John, additional, Auster, Peter J., additional, Avena, Paloma P., additional, Babb, Ivar, additional, Bahia, Ricardo, additional, Baker, Elaine K., additional, Baker, Matthew, additional, Bakkeplass, Kjell, additional, Båmstedt, Ulf, additional, Barrie, J. Vaughn, additional, Barymova, A.A., additional, Bastos, Alex C., additional, Bell, Trevor, additional, Ben, Radford, additional, Boni, Geandré C., additional, Boswarva, K.L., additional, Brandão, Simone Nunes, additional, Brizzolara, Jennifer L., additional, Brown, Craig J., additional, Brown, Tanya M, additional, Budanov, Leonid, additional, Buhl-Mortensen, Lene, additional, Buhl-Mortensen, Pål, additional, Burgos, Julian M., additional, Burke, L.A., additional, Calvert, Jay, additional, Canals, M., additional, Carpenter, Mallory, additional, Carroll, Andrew, additional, Chadi, Deena, additional, Church, Ian, additional, Clark, Malcolm R., additional, Coffin, Millard F., additional, Collin, Antoine, additional, Conlon, Suzanne, additional, Conroy, Christian W., additional, Conway, Kim W., additional, Curtis, Brittany, additional, da Silva, André Giskard Aquino, additional, da Silva, Carla Maria Menegola, additional, da Silva, João Paulo Ferreira, additional, Davies, P., additional, De Lauro, M., additional, de Oliveira, Renato Guimarães, additional, de Oliveira Batista, Diêgo, additional, Desnos, Yves-Louis, additional, Devillers, Rodolphe, additional, Di Stefano, Floriana, additional, Di Stefano, Massimo, additional, Dijkstra, J.A., additional, Dohner, Stephanie M., additional, Domack, Eugene W., additional, Dominguez, José M.L., additional, Dominguez, José Maria Landim, additional, Dove, D., additional, Dunham, A., additional, d’Acremont, Elia, additional, D’Angelo, Silvana, additional, Edinger, Evan, additional, Eichler, P.B., additional, Eichler, Patrícia Pinheiro Beck, additional, Esposito, E., additional, Farias, Carlos, additional, Farrell, Eugene, additional, Fernandez, Rodrigo, additional, Fernández-Salas, Luis M., additional, Ferreira, Beatrice P., additional, Ferreira, Lucas C., additional, Fiorentino, Andrea, additional, Foglini, Federica, additional, Fontes, Vanessa C., additional, Foulsham, E., additional, Fox, C., additional, Fox, Jodi M., additional, Fraile-Nuez, Eugenio, additional, Gábor, Lukáš, additional, Gallardo-Núñez, Marina, additional, Galparsoro, Ibon, additional, Galvez, Daphnie, additional, Gardner, Jonathan, additional, Garmendia, Joxe Mikel, additional, Geange, Shane, additional, Glasby, Chris, additional, Glenner, Henrik, additional, Gomes, M.P., additional, Gomes, Moab Praxedes, additional, Gontz, Allen M., additional, González-Dávila, Melchor, additional, González-Porto, Marcos, additional, Gràcia, Eulàlia, additional, Grande, Valentina, additional, Grasty, Sarah E., additional, Gray, John W., additional, Greene, H. Gary, additional, Grinyó, Jordi, additional, Grüss, A., additional, Guinan, J., additional, Günther, Carmen-Pia, additional, Hanslow, D., additional, Harris, Peter T., additional, Hass, H. Christian, additional, Häussermann, V., additional, Hill, Nicole, additional, Howe, J.A., additional, Howell, Kerry, additional, Ilich, Alex R., additional, Ingleton, T., additional, Isachenko, A.I., additional, Jamieson, Alan J., additional, Jordan, A., additional, Joshi, Siddhi, additional, Kaskela, Anu, additional, Kirchhoff, Stephane, additional, Koetz, Benjamin, additional, Kokorin, A.I., additional, Kotilainen, Aarno, additional, Kozlovskiy, V.V., additional, Kruss, Aleksandra, additional, Kuhn, Thomas, additional, Kung, R., additional, Lacharité, Myriam, additional, Laferriere, Alix, additional, Lafosse, Manfred, additional, Lamarche, Geoffroy, additional, Lapointe, Abby, additional, Laporte, Jean, additional, Lavoie, Caroline, additional, Leahy, Y., additional, Lecours, Vincent, additional, Leite, Marcos Daniel A., additional, Leite, Tatiana Silva, additional, Lemos, Ivan Cardoso, additional, Lettieri, Maria Teresa, additional, Leventer, Amy, additional, Linklater, M., additional, Lo Iacono, Claudio, additional, Longo, G.O., additional, López-González, Nieves, additional, Lozano, Pablo, additional, Lucieer, Vanessa, additional, Lyons, David, additional, Madricardo, Fantina, additional, Maida, Mauro, additional, Malik, M., additional, Martel, André, additional, Martinez Arbizu, Pedro, additional, Martin-Lauzer, François-Régis, additional, Masetti, G., additional, Mata, Dulce, additional, Mayer, Larry Alan, additional, McGonigle, Chris, additional, Mello, K., additional, Melo, Lizandra C., additional, Mikhaylyukova, P.G., additional, Miller, Douglas C., additional, Mokievsky, V.O., additional, Montereale-Gavazzi, Giacomo, additional, Moraes, Fernando C., additional, Moura, Rodrigo L., additional, Muaves, Lara Cristina, additional, Muñoz, Araceli, additional, Murawski, Steven A., additional, Muxika, Iñigo, additional, Naar, David F., additional, Narayanaswamy, B.E., additional, Nascimento Silva, L.L., additional, Neevin, Igor, additional, Neilson, J., additional, Nichol, Scott, additional, Nilsson, Martin, additional, Normandeau, Alexandre, additional, Nunes, Alina S., additional, Obando, R., additional, Óðinsson, Davíð Þór, additional, Ólafsdóttir, Steinunn H., additional, Oliveira, Natacha, additional, Orlova, Marina, additional, O’Brien, P.E., additional, O’Dowd, Leonie, additional, O’Sullivan, D., additional, Pallentin, Arne, additional, Palomino, Desirée, additional, Papenmeier, Svenja, additional, Penna, Shannon, additional, Perea, Hector, additional, Pesch, Roland, additional, Picard, Kim, additional, Pierdomenico, Martina, additional, Post, Alexandra L., additional, Prampolini, Mariacristina, additional, Propp, Claudia, additional, Przeslawski, Rachel, additional, Quaresma, Valéria S., additional, Rabaute, Alain, additional, Rayo, X., additional, Rebouças, Renata C., additional, Repkina, T.Yu., additional, Riddle, M.J., additional, Rodríguez, José Germán, additional, Romero, J., additional, Ross, R., additional, Rovira, D., additional, Rowden, Ashley A., additional, Rueda, José L., additional, Rühlemann, Carsten, additional, Russo, Giovanni Fulvio, additional, Ryabchuk, Daria, additional, Rybalko, A.E., additional, Sacchetti, F., additional, Sameoto, Jessica A., additional, Sánchez-Guillamón, Olga, additional, Santana-Casiano, J. Magdalena, additional, Schuchardt, Bastian, additional, Secchin, Nélio, additional, Sergeev, Alexander, additional, Shabalyn, N.V., additional, Shapiro, Aurélie, additional, Shaw, J., additional, Sigovini, Marco, additional, Smith, J., additional, Smith, J.R., additional, Smith, Stephen J., additional, Sotomayor-Garcia, Ana, additional, Sowers, D., additional, Stefaniak, Lauren M., additional, Stewart, Heather A., additional, Stockwell, Caitlin L., additional, Sukhacheva, Leontina, additional, Tappin, David R., additional, Taviani, Marco, additional, Teixeira, Luisa, additional, Terekhina, Ya.E., additional, Todd, Brian J., additional, Tokarev, M.Yu., additional, Toso, Carlotta, additional, Trembanis, Arthur C., additional, Uhlenkott, Katja, additional, Urra, Javier, additional, Varas, Diego, additional, Vázquez, Juan T., additional, Viana, Marina Gomes, additional, Vieira, Laura S., additional, Vila, Yolanda, additional, Vink, Annemiek, additional, Violante, C., additional, Violante, Crescenzo, additional, Viscasillas, Lourdes, additional, Vital, H., additional, Vital, Helenice, additional, Watling, Les, additional, Watson, Sally J., additional, Weijerman, M., additional, Whittaker, Joanne, additional, Ylla, J., additional, Zajac, Roman N., additional, Zeiler, Manfred, additional, and Zhamoida, Vladimir, additional
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- 2020
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7. Coral reef applications of Sentinel-2: Coverage, characteristics, bathymetry and benthic mapping with comparison to Landsat 8
- Author
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Hedley, John D., Roelfsema, Chris, Brando, Vittorio, Giardino, Claudia, Kutser, Tiit, Phinn, Stuart, Mumby, Peter J., Barrilero, Omar, Laporte, Jean, and Koetz, Benjamin
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- 2018
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8. WorldCereal: a dynamic open-source system for global-scale, seasonal, and reproducible crop and irrigation mapping.
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Van Tricht, Kristof, Degerickx, Jeroen, Gilliams, Sven, Zanaga, Daniele, Battude, Marjorie, Grosu, Alex, Brombacher, Joost, Lesiv, Myroslava, Bayas, Juan Carlos Laso, Karanam, Santosh, Fritz, Steffen, Becker-Reshef, Inbal, Franch, Belén, Mollà-Bononad, Bertran, Boogaard, Hendrik, Pratihast, Arun Kumar, Koetz, Benjamin, and Szantoi, Zoltan
- Subjects
AGRICULTURAL mapping ,SUSTAINABLE agriculture ,DYNAMICAL systems ,IRRIGATION ,SEASONS ,IRRIGATION farming ,CORN - Abstract
The challenge of global food security in the face of population growth, conflict, and climate change requires a comprehensive understanding of cropped areas, irrigation practices, and the distribution of major commodity crops like maize and wheat. However, such understanding should preferably be updated at seasonal intervals for each agricultural system rather than relying on a single annual assessment. Here we present the European Space Agency-funded WorldCereal system, a global, seasonal, and reproducible crop and irrigation mapping system that addresses existing limitations in current global-scale crop and irrigation mapping. WorldCereal generates a range of global products, including temporary crop extent, seasonal maize and cereal maps, seasonal irrigation maps, seasonal active cropland maps, and model confidence layers providing insights into expected product quality. The WorldCereal product suite for the year 2021 presented here serves as a global demonstration of the dynamic open-source WorldCereal system. Validation of the products was done based on best available reference data per product. A global statistical validation for the temporary crop extent product resulted in user's and producer's accuracies of 88.5 % and 92.1 %, respectively. For crop type, a verification was performed against a newly collected street view dataset (overall agreement 82.5 %) and a limited number of publicly available in situ datasets (reaching minimum agreement of 80 %). Finally, global irrigated-area estimates were derived from available maps and statistical datasets, revealing the conservative nature of the WorldCereal irrigation product. The WorldCereal system provides a vital tool for policymakers, international organizations, and researchers to better understand global crop and irrigation patterns and to inform decision-making related to food security and sustainable agriculture. Our findings highlight the need for continued community efforts such as additional reference data collection to support further development and to push the boundaries for global agricultural mapping from space. The global products are available at 10.5281/zenodo.7875104 (Van Tricht et al., 2023). [ABSTRACT FROM AUTHOR]
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- 2023
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9. WorldCereal: a dynamic open-source system for global-scale, seasonal, and reproducible crop and irrigation mapping
- Author
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Van Tricht, Kristof, Degerickx, Jeroen, Gilliams, Sven, Zanaga, Daniele, Battude, Marjorie, Grosu, Alex, Brombacher, Joost, Lesiv, Myroslava, Laso Bayas, Juan Carlos, Karanam, Santosh, Fritz, Steffen, Becker-Reshef, Inbal, Franch, Belén, Mollà-Bononad, Bertran, Boogaard, Hendrik, Pratihast, Arun Kumar, Koetz, Benjamin, Szantoi, Zoltan, Van Tricht, Kristof, Degerickx, Jeroen, Gilliams, Sven, Zanaga, Daniele, Battude, Marjorie, Grosu, Alex, Brombacher, Joost, Lesiv, Myroslava, Laso Bayas, Juan Carlos, Karanam, Santosh, Fritz, Steffen, Becker-Reshef, Inbal, Franch, Belén, Mollà-Bononad, Bertran, Boogaard, Hendrik, Pratihast, Arun Kumar, Koetz, Benjamin, and Szantoi, Zoltan
- Abstract
The challenge of global food security in the face of population growth, conflict, and climate change requires a comprehensive understanding of cropped areas, irrigation practices, and the distribution of major commodity crops like maize and wheat. However, such understanding should preferably be updated at seasonal intervals for each agricultural system rather than relying on a single annual assessment. Here we present the European Space Agency-funded WorldCereal system, a global, seasonal, and reproducible crop and irrigation mapping system that addresses existing limitations in current global-scale crop and irrigation mapping. WorldCereal generates a range of global products, including temporary crop extent, seasonal maize and cereal maps, seasonal irrigation maps, seasonal active cropland maps, and model confidence layers providing insights into expected product quality. The WorldCereal product suite for the year 2021 presented here serves as a global demonstration of the dynamic open-source WorldCereal system. Validation of the products was done based on best available reference data per product. A global statistical validation for the temporary crop extent product resulted in user’s and producer’s accuracies of 88.5 % and 92.1 %, respectively. For crop type, a verification was performed against a newly collected street view dataset (overall agreement 82.5 %) and a limited number of publicly available in situ datasets (reaching minimum agreement of 80 %). Finally, global irrigated-area estimates were derived from available maps and statistical datasets, revealing the conservative nature of the WorldCereal irrigation product. The WorldCereal system provides a vital tool for policymakers, international organizations, and researchers to better understand global crop and irrigation patterns and to inform decision-making related to food security and sustainable agriculture. Our findings highlight the need for continued community efforts such as additional reference d
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- 2023
10. The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing
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Widlowski, Jean-Luc, Mio, Corrado, Disney, Mathias, Adams, Jennifer, Andredakis, Ioannis, Atzberger, Clement, Brennan, James, Busetto, Lorenzo, Chelle, Michaël, Ceccherini, Guido, Colombo, Roberto, Côté, Jean-Francois, Eenmäe, Alo, Essery, Richard, Gastellu-Etchegorry, Jean-Philippe, Gobron, Nadine, Grau, Eloi, Haverd, Vanessa, Homolová, Lucie, Huang, Huaguo, Hunt, Linda, Kobayashi, Hideki, Koetz, Benjamin, Kuusk, Andres, Kuusk, Joel, Lang, Mait, Lewis, Philip E., Lovell, Jennifer L., Malenovský, Zbyněk, Meroni, Michele, Morsdorf, Felix, Mõttus, Matti, Ni-Meister, Wenge, Pinty, Bernard, Rautiainen, Miina, Schlerf, Martin, Somers, Ben, Stuckens, Jan, Verstraete, Michel M., Yang, Wenze, Zhao, Feng, and Zenone, Terenzio
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- 2015
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11. Evaluating European ECOSTRESS Hub Evapotranspiration Products Retrieved from Three Structurally Contrasting SEB Models over Europe
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Hu, Tian, primary, Mallick, Kaniska, additional, Hitzelberger, Patrik, additional, Didry, Yoanne, additional, Boulet, Gilles, additional, Szantoi, Zoltan, additional, Koetz, Benjamin, additional, Alonso, Itziar, additional, Pascolini-Campbell, Madeleine, additional, Halverson, Gregory H, additional, Cawse-Nicholson, Kerry, additional, Hulley, Glynn, additional, Hook, Simon J., additional, Bhattarai, Nishan, additional, Olioso, Albert, additional, Roujean, Jean-Louis, additional, Gamet, Philippe, additional, and Su, Z. Bob, additional
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- 2022
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12. Algorithms and Applications for Land Cover Classification – A Review
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Waske, Björn, Chi, Mingmin, Atli Benediktsson, Jón, van der Linden, Sebastian, Koetz, Benjamin, Li, Deren, editor, Shan, Jie, editor, and Gong, Jianya, editor
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- 2009
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13. Modern Remote Sensing for Environmental Monitoring of Landscape States and Trajectories
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Zimmermann, Niklaus E., Washington-Allen, Robert A., Ramsey, Robert D., Schaepman, Michael E., Mathys, Lukas, Kötz, Benjamin, Kneubühlerx, Mathias, Edwards, Thomas C., Décamps, Henri, editor, Tress, Bärbel, editor, Tress, Gunther, editor, Kienast, Felix, editor, Wildi, Otto, editor, and Ghosh, Sucharita, editor
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- 2007
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14. Global crop calendars of maize and wheat in the framework of the WorldCereal project
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Franch, Belén, primary, Cintas, Juanma, additional, Becker-Reshef, Inbal, additional, Sanchez-Torres, María José, additional, Roger, Javier, additional, Skakun, Sergii, additional, Sobrino, José Antonio, additional, Van Tricht, Kristof, additional, Degerickx, Jeroen, additional, Gilliams, Sven, additional, Koetz, Benjamin, additional, Szantoi, Zoltan, additional, and Whitcraft, Alyssa, additional
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- 2022
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15. Mowing detection using Sentinel-1 and Sentinel-2 time series for large scale grassland monitoring
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UCL - SST/ELI/ELIE - Environmental Sciences, De Vroey, Mathilde, de Vendictis, Laura, Zavagli, Massimo, Bontemps, Sophie, Heymans, Diane, Radoux, Julien, Koetz, Benjamin, Defourny, Pierre, UCL - SST/ELI/ELIE - Environmental Sciences, De Vroey, Mathilde, de Vendictis, Laura, Zavagli, Massimo, Bontemps, Sophie, Heymans, Diane, Radoux, Julien, Koetz, Benjamin, and Defourny, Pierre
- Abstract
Managed grasslands cover about one third of the European utilized agricultural area. Appropriate grassland management is key for balancing trade-offs between provisioning and regulating ecosystem services. The timing and frequency of mowing events are major factors of grassland management. Recent studies have shown the feasibility of detecting mowing events using remote sensing time series from optical and radar satellites. In this study, we present a new method combining the regular observations of Sentinel-1 (S1) and the better accuracy of Sentinel-2 (S2) grassland mowing detection algorithms. This multi-source approach for grassland monitoring was assessed over large areas and in various contexts. The method was first validated in six European countries, based on Planet image interpretation. Its performances and sensitivity were then thoroughly assessed in an independent study area using a more precise and complete reference dataset based on an intensive field campaign. Results showed the robustness of the method across all study areas and different types of grasslands. The method reached a F1-score of 79% for detecting mowing events on hay meadows. Furthermore, the detection of mowing events along the growing season allows to classify mowing practices with an overall accuracy of 69%. This is promising for differentiating grasslands in terms of management intensity. The method could therefore be used for large-scale grassland monitoring to support agri-environmental schemes in Europe.
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- 2022
16. Improving radiometry of imaging spectrometers by using programmable spectral regions of interest
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Dell’Endice, Francesco, Nieke, Jens, Koetz, Benjamin, Schaepman, Michael E., and Itten, Klaus
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- 2009
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17. COIVD-19 Impact Monitoring for Agriculutre
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Koetz, Benjamin, primary, Doorn, Bradley, additional, Sobue, Shin-ichi, additional, Becker-Reshef, Inbal, additional, Defourny, Pierre, additional, Bontemps, Sophie, additional, Malcorps, Philippe, additional, Houdmont, Pierre, additional, Barker, Brian, additional, Justice, Christina, additional, Kerner, Hannah, additional, Tseng, Gabriel, additional, Oyoshi, Kei, additional, Sasaki, Yoshinobu, additional, Nakamoto, Keishiro, additional, and Veerman, Olaf, additional
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- 2021
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18. Assessing Utility of Copernicus-Based Evapotranspiration Maps for National Monitoring of Field-Scale Water Use
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Guzinski, Radoslaw, primary, Nieto, Hector, additional, Boulet, Gilles, additional, Boujnah, Dalendah, additional, and Koetz, Benjamin, additional
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- 2021
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19. Synergistic Use of Multispectral Data and Crop Growth Modelling for Spatial and Temporal Evapotranspiration Estimations
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Silvestro, Paolo Cosmo, primary, Casa, Raffaele, additional, Hanuš, Jan, additional, Koetz, Benjamin, additional, Rascher, Uwe, additional, Schuettemeyer, Dirk, additional, Siegmann, Bastian, additional, Skokovic, Drazen, additional, Sobrino, José, additional, and Tudoroiu, Marin, additional
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- 2021
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20. Chapter 31 - Coral reefs in Fatu Huku Island, Marquesas Archipelago, French Polynesia
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Collin, Antoine, Laporte, Jean, Koetz, Benjamin, Martin-Lauzer, François-Régis, and Desnos, Yves-Louis
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- 2020
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21. Status of Current and Expansion Missions of the Copernicus Optical Imaging Family
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Gascon, Ferran, primary, Stromme, Anja, additional, Rast, Michael, additional, Nieke, Jens, additional, Koetz, Benjamin, additional, Bolea Alamañac, Ana, additional, and Sallusti, Marcello, additional
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- 2020
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22. Airborne mapping and in situ validation of European land surface temperature using the NASA-JPL HyTES sensor. Results from the 2019 European NET-Sense Campaign in support of the Copernicus High Priority Candidate satellite mission development.
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Wooster, Martin, primary, Johnson, James, additional, Dowling, Tom, additional, de Jong, Mark, additional, Grosvenor, Mark, additional, Langsdale, Mary, additional, Hook, Simon, additional, Eng, Bjorn, additional, Johnson, William, additional, Rivera, Gerardo, additional, Hulley, Glynn, additional, Schüttemeyer, Dirk, additional, and Koetz, Benjamin, additional
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- 2020
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23. Spectrodirectional remote sensing for the improved estimation of biophysical and -chemical variables: two case studies
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Schaepman, Michael E., Koetz, Benjamin, Schaepman-Strub, Gabriela, and Itten, Klaus I.
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- 2005
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24. Agriculture: Land Surface Temperature Monitoring (LSTM) Mission
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Koetz, Benjamin, Bastiaanssen, Wim, Berger, Michael, Defourney, Pierre, Del Bello, Umberto, Drusch, Matthias, Drinkwater, Mark, Duca, Ricardo, Fernandez, Valérie, Ghent, Darren, Guzinski, Radoslaw, Hoogeveen, Jippe, Hook, Simon, Lagouarde, Jean-Pierre, Lemoine, Guido, Manolis, Ilias, Martimort, Philippe, Masek, Jeff, Massart, Michel, Notarnicola, Claudia, Sobrino, Jose A., Udelhoven, Thomas, ProdInra, Migration, European Space Research Institute (ESRIN), European Space Agency (ESA), United Nations Educational, Scientific and Cultural Organization (UNESCO), European Academy of Bozen-Bolzano (EURAC), Université Catholique de Louvain = Catholic University of Louvain (UCL), European Space Research and Technology Centre (ESTEC), University of Leicester, UN, Food & Agr Org, Partenaires INRAE, Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Interactions Sol Plante Atmosphère (UMR ISPA), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro), Dokuchaev Soil Science Institute (SSI), Russian Academy of Agricultural Sciences, NASA Goddard Space Flight Center (GSFC), European Commission, Universitat de València (UV), and Trier University
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[SDV] Life Sciences [q-bio] ,[SDE] Environmental Sciences ,[SDV]Life Sciences [q-bio] ,[SDE]Environmental Sciences ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
- Published
- 2019
25. Simulation Studies of Forest Structure using 3D Lidar and Radar Models
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Sun, Guoqing, Ranson, K. Jon, Koetz, Benjamin, and Liu, Dawei
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Earth Resources And Remote Sensing - Abstract
The use of lidars and radars to measure forest structure attributes such as height and biomass are being considered for future Earth Observation missions. Large footprint lidar makes a direct measurement of the heights of scatterers in the illuminated footprint and can yield information about the vertical profile of the canopy. Synthetic Aperture Radar (SAR) is known to sense the canopy volume, especially at longer wavelengths and is useful for estimating biomass. Interferometric SAR (InSAR) has been shown to yield forest canopy height information. For example, the height of scattering phase retrieved from InSAR data is considered to be correlated with the three height and the spatial structure of the forest stand. There is much interest in exploiting these technologies separately and together to get important information for carbon cycle and ecosystem science. More detailed information of the electromagnetic radiation interactions within forest canopies is needed. And backscattering models can be of much utility here. As part of a NASA funded project to explore data fusion, a three-dimensional (3D) coherent radar backscattering model and a 3D lidar backscatter models were used to investigate the use of large footprint lidar, SAR and InSAR for characterizing realistic forest scenes. For this paper, we use stem maps and other forest measurements to develop a realistic spatial structure of a spruce-hemlock forest canopy found in Maine, USA. The radar and lidar models used measurements of the 3D forest scene as input and simulated the coherent radar backscattering signature and 1064nm energy backscatter, respectively. The relationships of backscatter derived forest structure were compared with field measurements. In addition, we also had detailed airborne lidar (Laser Imaging Vegetation Sensor, LVIS) data available over the stem map sites that was used to study the accuracies of tree height derived from modeled SAR backscatter and the scattering phase center retrieved from the simulated InSAR data will be compared with the height indices, or other structure parameters derived from the lidar data. These results will address the possible synergies between lidar and radar in data in terms of forest structural information.
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- 2007
26. Simulation Studies of the Effect of Forest Spatial Structure on InSAR Signature
- Author
-
Sun, Guoqing, Liu, Dawei, Ranson, K. Jon, and Koetz, Benjamin
- Subjects
Earth Resources And Remote Sensing - Abstract
The height of scattering phase retrieved from InSAR data is considered being correlated with the tree height and the spatial structure of the forest stand. Though some researchers have used simple backscattering models to estimate tree height from the height of scattering center, the effect of forest spatial structure on InSAR data is not well understood yet. A three-dimensional coherent radar backscattering model for forest canopies based on realistic three-dimensional scene was used to investigate the effect in this paper. The realistic spatial structure of forest canopies was established either by field measurements (stem map) or through use of forest growth model. Field measurements or a forest growth model parameterized using local environmental parameters provides information of forest species composition and tree sizes in certain growth phases. A fractal tree model (L-system) was used to simulate individual 3- D tree structure of different ages or heights. Trees were positioned in a stand in certain patterns resulting in a 3-D medium of discrete scatterers. The radar coherent backscatter model took the 3-D forest scene as input and simulates the coherent radar backscattering signature. Interferometric SAR images of 3D scenes were simulated and heights of scattering phase centers were estimated from the simulated InSAR data. The effects of tree height, crown cover, crown depth, and the spatial distribution patterns of trees on the scattering phase center were analyzed. The results will be presented in the paper.
- Published
- 2007
27. Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world
- Author
-
UCL - SST/ELI/ELIE - Environmental Sciences, Defourny, Pierre, Bontemps, Sophie, Bellemans, Nicolas, Cara, Cosmin, Dedieu, Gérard, Guzzonato, Eric, Hagolle, Olivier, Inglada, Jordi, Nicola, Laurentiu, Rabaute, Thierry, Savinaud, Mickael, Udroiu, Cosmin, Valero, Silvia, Bégué, Agnès, Dejoux, Jean-François, El Harti, Abderrazak, Ezzahar, Jamal, Kussul, Nataliia, Labbassi, Kamal, Lebourgeois, Valentine, Miao, Zhang, Newby, Terrence, Nyamugama, Adolph, Salh, Norakhan, Shelestov, Andrii, Simonneaux, Vincent, Traore, Pierre Sibiry, Traore, Souleymane S., Koetz, Benjamin, UCL - SST/ELI/ELIE - Environmental Sciences, Defourny, Pierre, Bontemps, Sophie, Bellemans, Nicolas, Cara, Cosmin, Dedieu, Gérard, Guzzonato, Eric, Hagolle, Olivier, Inglada, Jordi, Nicola, Laurentiu, Rabaute, Thierry, Savinaud, Mickael, Udroiu, Cosmin, Valero, Silvia, Bégué, Agnès, Dejoux, Jean-François, El Harti, Abderrazak, Ezzahar, Jamal, Kussul, Nataliia, Labbassi, Kamal, Lebourgeois, Valentine, Miao, Zhang, Newby, Terrence, Nyamugama, Adolph, Salh, Norakhan, Shelestov, Andrii, Simonneaux, Vincent, Traore, Pierre Sibiry, Traore, Souleymane S., and Koetz, Benjamin
- Abstract
The convergence of new EO data flows, new methodological developments and cloud computing infrastructure calls for a paradigm shift in operational agriculture monitoring. The Copernicus Sentinel-2 mission providing a systematic 5-day revisit cycle and free data access opens a completely new avenue for near real-time crop specific monitoring at parcel level over large countries. This research investigated the feasibility to propose methods and to develop an open source system able to generate, at national scale, cloud-free composites, dynamic cropland masks, crop type maps and vegetation status indicators suitable for most cropping systems. The so-called Sen2-Agri system automatically ingests and processes Sentinel-2 and Landsat 8 time series in a seamless way to derive these four products, thanks to streamlined processes based on machine learning algorithms and quality controlled in situ data. It embeds a set of key principles proposed to address the new challenges arising from countrywide 10m resolution agriculture monitoring. The full-scale demonstration of this system for three entire countries (Ukraine, Mali, South Africa) and five local sites distributed across the world was a major challenge met successfully despite the availability of only one Sentinel-2 satellite in orbit. In situ data were collected for calibration and validation in a timely manner allowing the production of the four Sen2-Agri products over all the demonstration sites. The independent validation of the monthly cropland masks provided for most sites overall accuracy values higher than 90%, and already higher than 80% as early as the mid-season. The crop type maps depicting the 5 main crops for the considered study sites were also successfully validated: overall accuracy values higher than 80% and F1 Scores of the different crop type classes were most often higher than 0.65. These respective results pave the way for countrywide crop specific monitoring system at parcel level bridging the gap
- Published
- 2019
28. High Spatio- Temporal Resolution Land Surface Temperature Mission - a Copernicus Candidate Mission in Support of Agricultural Monitoring
- Author
-
Koetz, Benjamin, primary, Bastiaanssen, Wim, additional, Berger, Michael, additional, Defourney, Pierre, additional, Del Bello, Umberto, additional, Drusch, Matthias, additional, Drinkwater, Mark, additional, Duca, Ricardo, additional, Fernandez, Valerie, additional, Ghent, Darren, additional, Guzinski, Radoslaw, additional, Hoogeveen, Jippe, additional, Hook, Simon, additional, Lagouarde, Jean-Pierre, additional, Lemoine, Guido, additional, Manolis, Ilias, additional, Martimort, Philippe, additional, Masek, Jeff, additional, Massart, Michel, additional, Notarnicola, Claudia, additional, Sobrino, Jose, additional, and Udelhoven, Thomas, additional
- Published
- 2018
- Full Text
- View/download PDF
29. Mapping bathymetry, habitat, and potential bleaching of coral reefs using Sentinel-2
- Author
-
Collin, Antoine, Laporte, Jean, Koetz, Benjamin, Martin-Lauzer, François-Régis, Desnos, Yves-Louis, Collin, Antoine, Université Paris sciences et lettres (PSL), Division Hydrographie Océanographie et Météorologie Militaire (HOM), Service hydrographique et océanographique de la Marine, Agence Spatiale Européenne (ESA), and European Space Agency (ESA)
- Subjects
Sentinel-2 Satellite ,[SDE.IE]Environmental Sciences/Environmental Engineering ,high resolution ,bathymetry ,habitat ,bleaching ,[SDE.IE] Environmental Sciences/Environmental Engineering ,mapping ,[SDU.STU.OC] Sciences of the Universe [physics]/Earth Sciences/Oceanography ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography ,[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing - Abstract
International audience; Global ocean warming combined with a long-lasting El Niño Southern Oscillation event (2015–-2016) are provoking the third ever global coral bleaching event. Hotspots of marine biodiversity, coral reefs require special attention from stakeholders and scientists tasked with Earth’s health. Earth observation has recently benefited from the launch of the multispectral Sentinel-2 (S2) sensor delivering high spatial resolution (10 m) optical information worldwide every 10 days. Within the Sen2Coral project of ESA, and as a precursor of open-source specific data processors’ development, this study strives to evaluate in real conditions the S2 capabilities for coral reef bathymetry and habitat mapping as well as bleaching detection given the ongoing event. A dedicated campaign held in Fatu Huku (Marquesas Archipelago, French Polynesia) in February 2016 enabled geolocated water depths and benthic frames to be extensively collected. After geometric and radiometric standardization, two sets of S2 blue, green, red and near-infrared bands were processed for comparison (11 February and 11 April 2016). The bathymetry mapping up to 20 m was satisfactorily generated for both dates (R2=0.64, r=0.79, RMSE=0.12 and R2=0.74, r=0.86, RMSE=0.09, respectively). The benthic composition (deep water, sand, reef pavement and live reef) was also reasonably classified (OA=78.8%, κ=0.71 and OA=73.5%, κ=0.65). Bathymetric maps and difference maps of benthic composition and depth-invariant reflectance were used to evaluate changes in water surface, water column and benthic habitats of this oceanic lagoon. By focusing on areas deprived of water-related constraints,benthic shifts from live reef to reef pavement were locally pointed out suggesting a potential bleaching detection at this 10-m scale when fit in the radiometric error budget. Those findings hold great promise to use S2 for coral reef bathymetry and habitat mapping but also are an incentive to confirm bleaching detection over larger areas provided with denser ground-truth data, unequivocally correlating the bleaching event over S2 data.
- Published
- 2016
30. The fourth phase of the radiative transfer model intercomparison (RAMI) exercise
- Author
-
Widlowski, Jean Luc, Mio, Corrado, Disney, Mathias, Adams, Jennifer, Andredakis, Ioannis, Atzberger, Clement, Brennan, James, Busetto, Lorenzo, Chelle, Michaël, Ceccherini, Guido, Colombo, Roberto, Côté, Jean Francois, Eenmäe, Alo, Essery, Richard, Gastellu-Etchegorry, Jean Philippe, Gobron, Nadine, Grau, Eloi, Haverd, Vanessa, Homolová, Lucie, Huang, Huaguo, Hunt, Linda, Kobayashi, Hideki, Koetz, Benjamin, Kuusk, Andres, Kuusk, Joel, Lang, Mait, Lewis, Philip E., Lovell, Jennifer L., Malenovský, Zbyněk, Meroni, Michele, Morsdorf, Felix, Mõttus, Matti, Ni-Meister, Wenge, Pinty, Bernard, Rautiainen, Miina, Schlerf, Martin, Somers, Ben, Stuckens, Jan, Verstraete, Michel M., Yang, Wenze, Zhao, Feng, Zenone, Terenzio, European Commission Joint Research Centre, NERC National Centre for Earth Observation (NCEO), University College London, University of Natural Resources and Life Sciences, CNR-IREA, INRAE, University of Milano-Bicocca, Natural Resources Canada, Tartu Observatory, University of Edinburgh, Centre d'Etudes Spatiales de la Biosphère, CSIRO, Czech Academy of Sciences, Beijing Forestry University, Science Systems and Applications, Inc., Japan Agency for Marine-Earth Science and Technology, European Space Agency - ESA, University of Wollongong, Universitat Zurich, University of Helsinki, City University of New York, Department of Real Estate, Planning and Geoinformatics, Luxembourg Institute of Science and Technology, KU Leuven, Merkator nv, University of the Witwatersrand, University of Maryland, College Park, Beijing University of Aeronautics and Astronautics, University of Antwerp, Department of Radio Science and Engineering, Department of Built Environment, Aalto-yliopisto, and Aalto University
- Subjects
ISO-13528 ,3D virtual plant canopy ,Optical remote sensing ,Model benchmarking ,Radiative transfer ,Shared risk ,GCOS ,Conformity testing ,Guarded acceptance ,Digital hemispherical photography - Abstract
The RAdiative transfer Model Intercomparison (RAMI) activity focuses on the benchmarking of canopy radiative transfer (RT) models. For the current fourth phase of RAMI, six highly realistic virtual plant environments were constructed on the basis of intensive field data collected from (both deciduous and coniferous) forest stands as well as test sites in Europe and South Africa. Twelve RT modelling groups provided simulations of canopy scale (directional and hemispherically integrated) radiative quantities, as well as a series of binary hemispherical photographs acquired from different locations within the virtual canopies. The simulation results showed much greater variance than those recently analysed for the abstract canopy scenarios of RAMI-IV. Canopy complexity is among the most likely drivers behind operator induced errors that gave rise to the discrepancies. Conformity testing was introduced to separate the simulation results into acceptable and non-acceptable contributions. More specifically, a sharedrisk approach is used to evaluate the compliance of RT model simulations on the basis of reference data generated with the weighted ensemble averaging technique from ISO-13528. However, using concepts from legal metrology, the uncertainty of this reference solution will be shown to prevent a confident assessment of model performance with respect to the selected tolerance intervals. As an alternative, guarded risk decision rules will be presented to account explicitly for the uncertainty associated with the reference and candidate methods. Both guarded acceptance and guarded rejection approaches are used to make confident statements about the acceptance and/or rejection of RT model simulations with respect to the predefined tolerance intervals.
- Published
- 2015
31. Sentinel-2 for agriculture national demonstration in ukraine: Results and further steps
- Author
-
Kussul, Nataliia, primary, Kolotii, Andrii, additional, Shelestov, Andrii, additional, Lavreniuk, Mykola, additional, Bellemans, Nicolas, additional, Bontemps, Sophie, additional, Defourny, Pierre, additional, and Koetz, Benjamin, additional
- Published
- 2017
- Full Text
- View/download PDF
32. Production of a Dynamic Cropland Mask by Processing Remote Sensing Image Series at High Temporal and Spatial Resolutions
- Author
-
UCL - SST/ELI/ELIE - Environmental Sciences, Valero, Silvia, Morin, David, Inglada, Jordi, Sepulcre Canto, Guadalupe, Arias, Marcela, Hagolle, Olivier, Dedieu, Gérard, Bontemps, Sophie, Defourny, Pierre, Koetz, Benjamin, UCL - SST/ELI/ELIE - Environmental Sciences, Valero, Silvia, Morin, David, Inglada, Jordi, Sepulcre Canto, Guadalupe, Arias, Marcela, Hagolle, Olivier, Dedieu, Gérard, Bontemps, Sophie, Defourny, Pierre, and Koetz, Benjamin
- Abstract
The exploitation of new high revisit frequency satellite observations is an important opportunity for agricultural applications. The Sentinel-2 for Agriculture project S2Agri (http://www.esa-sen2agri.org/SitePages/Home.aspx) is designed to develop, demonstrate and facilitate the Sentinel-2 time series contribution to the satellite EO component of agriculture monitoring for many agricultural systems across the globe. In the framework of this project, this article studies the construction of a dynamic cropland mask. This mask consists of a binary “annual-cropland/no-annual-cropland” map produced several times during the season to serve as a mask for monitoring crop growing conditions over the growing season. The construction of the mask relies on two classical pattern recognition techniques: feature extraction and classification. One pixel- and two object-based strategies are proposed and compared. A set of 12 test sites are used to benchmark the methods and algorithms with regard to the diversity of the agro-ecological context, landscape patterns, agricultural practices and actual satellite observation conditions. The classification results yield promising accuracies of around 90% at the end of the agricultural season. Efforts will be made to transition this research into operational products once Sentinel-2 data become available.
- Published
- 2016
33. LAI estimation based on multi-temporal CHRIS/PROBA data and radiative transfer modelling
- Author
-
Koetz, Benjamin, Kneubühler, Mathias, Huber, Silvia, Schopfer, Jürg, Baret, Frédéric, University of Zurich, Lacoste, H, Ouwehand, L, and Koetz, Benjamin
- Subjects
10122 Institute of Geography ,1912 Space and Planetary Science ,2202 Aerospace Engineering ,910 Geography & travel - Published
- 2007
34. Production of a Dynamic Cropland Mask by Processing Remote Sensing Image Series at High Temporal and Spatial Resolutions
- Author
-
Valero, Silvia, primary, Morin, David, additional, Inglada, Jordi, additional, Sepulcre, Guadalupe, additional, Arias, Marcela, additional, Hagolle, Olivier, additional, Dedieu, Gérard, additional, Bontemps, Sophie, additional, Defourny, Pierre, additional, and Koetz, Benjamin, additional
- Published
- 2016
- Full Text
- View/download PDF
35. An Automated Method for Annual Cropland Mapping along the Season for Various Globally-Distributed Agrosystems Using High Spatial and Temporal Resolution Time Series
- Author
-
UCL - SST/ELI/ELIE - Environmental Sciences, Matton, Nicolas, Sepulcre Canto, Guadalupe, Waldner, François, Valero, Silvia, Morin, David, Inglada, Jordi, Arias, Marcela, Bontemps, Sophie, Koetz, Benjamin, Defourny, Pierre, UCL - SST/ELI/ELIE - Environmental Sciences, Matton, Nicolas, Sepulcre Canto, Guadalupe, Waldner, François, Valero, Silvia, Morin, David, Inglada, Jordi, Arias, Marcela, Bontemps, Sophie, Koetz, Benjamin, and Defourny, Pierre
- Abstract
Cropland mapping relies heavily on field data for algorithm calibration, making it, in many cases, applicable only at the field campaign scale. While the recently launched Sentinel-2 satellite will be able to deliver time series over large regions, it will not really be compatible with the current mapping approach or the available in situ data. This research introduces a generic methodology for mapping annual cropland along the season at high spatial resolution with the use of globally available baseline land cover and no need for field data. The methodology is based on cropland-specific temporal features, which are able to cope with the diversity of agricultural systems, prior information from which mislabeled pixels have been removed and a cost-effective classifier. Thanks to the JECAM network, eight sites across the world were selected for global cropland mapping benchmarking. Accurate cropland maps were produced at the end of the season, showing an overall accuracy of more than 85%. Early cropland maps were also obtained at three-month intervals after the beginning of the growing season, and these showed reasonable accuracy at the three-month stage (>70% overall accuracy) and progressive improvement along the season. The trimming-based method was found to be key for using spatially coarse baseline land cover information and, thus, avoiding costly field campaigns for prior information retrieval. The accuracy and timeliness of the proposed approach shows that it has substantial potential for operational agriculture monitoring programs.
- Published
- 2015
36. Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery
- Author
-
UCL - SST/ELI/ELIE - Environmental Sciences, Inglada, Jordi, Arias, Marcela, Tardy, Benjamin, Hagolle, Olivier, Valero, Silvia, Morin, David, Dedieu, Gérard, Sepulcre Canto, Guadalupe, Bontemps, Sophie, Defourny, Pierre, Koetz, Benjamin, UCL - SST/ELI/ELIE - Environmental Sciences, Inglada, Jordi, Arias, Marcela, Tardy, Benjamin, Hagolle, Olivier, Valero, Silvia, Morin, David, Dedieu, Gérard, Sepulcre Canto, Guadalupe, Bontemps, Sophie, Defourny, Pierre, and Koetz, Benjamin
- Abstract
Crop area extent estimates and crop type maps provide crucial information for agricultural monitoring and management. Remote sensing imagery in general and, more specifically, high temporal and high spatial resolution data as the ones which will be available with upcoming systems, such as Sentinel-2, constitute a major asset for this kind of application. The goal of this paper is to assess to what extent state-of-the-art supervised classification methods can be applied to high resolution multi-temporal optical imagery to produce accurate crop type maps at the global scale. Five concurrent strategies for automatic crop type map production have been selected and benchmarked using SPOT4 (Take5) and Landsat 8 data over 12 test sites spread all over the globe (four in Europe, four in Africa, two in America and two in Asia). This variety of tests sites allows one to draw conclusions applicable to a wide variety of landscapes and crop systems. The results show that a random forest classifier operating on linearly temporally gap-filled images can achieve overall accuracies above 80% for most sites. Only two sites showed low performances: Madagascar due to the presence of fields smaller than the pixel size and Burkina Faso due to a mix of trees and crops in the fields. The approach is based on supervised machine learning techniques, which need in situ data collection for the training step, but the map production is fully automatic.
- Published
- 2015
37. Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2
- Author
-
UCL - SST/ELI/ELIE - Environmental Sciences, Bontemps, Sophie, Arias, Marcela, Cara, Cosmin, Dedieu, Gérard, Guzzonato, Eric, Hagolle, Olivier, Inglada, Jordi, Matton, Nicolas, Morin, David, Popescu, Ramona, Rabaute, Thierry, Savinaud, Mickael, Sepulcre Canto, Guadalupe, Valero, Silvia, Ahmad, Ijaz, Bégué, Agnès, Wu, Bingfang, de Abelleyra, Diego, Diarra, Alhousseine, Dupuy, Stéphane, French, Andrew, Akhtar, Ibrar ul Hassan, Kussul, Nataliia, Lebourgeois, Valentine, Le Page, Michel, Newby, Terrence, Savin, Igor, Veron, Santiago R., Koetz, Benjamin, Defourny, Pierre, UCL - SST/ELI/ELIE - Environmental Sciences, Bontemps, Sophie, Arias, Marcela, Cara, Cosmin, Dedieu, Gérard, Guzzonato, Eric, Hagolle, Olivier, Inglada, Jordi, Matton, Nicolas, Morin, David, Popescu, Ramona, Rabaute, Thierry, Savinaud, Mickael, Sepulcre Canto, Guadalupe, Valero, Silvia, Ahmad, Ijaz, Bégué, Agnès, Wu, Bingfang, de Abelleyra, Diego, Diarra, Alhousseine, Dupuy, Stéphane, French, Andrew, Akhtar, Ibrar ul Hassan, Kussul, Nataliia, Lebourgeois, Valentine, Le Page, Michel, Newby, Terrence, Savin, Igor, Veron, Santiago R., Koetz, Benjamin, and Defourny, Pierre
- Abstract
Developing better agricultural monitoring capabilities based on Earth Observation data is critical for strengthening food production information and market transparency. The Sentinel-2 mission has the optimal capacity for regional to global agriculture monitoring in terms of resolution (10–20 meter), revisit frequency (five days) and coverage (global). In this context, the European Space Agency launched in 2014 the “Sentinel-2 for Agriculture” project, which aims to prepare the exploitation of Sentinel-2 data for agriculture monitoring through the development of open source processing chains for relevant products. The project generated an unprecedented data set, made of “Sentinel-2 like” time series and in situ data acquired in 2013 over 12 globally distributed sites. Earth Observation time series were mostly built on the SPOT4 (Take 5) data set, which was specifically designed to simulate Sentinel-2. They also included Landsat 8 and RapidEye imagery as complementary data sources. Images were pre-processed to Level 2A and the quality of the resulting time series was assessed. In situ data about cropland, crop type and biophysical variables were shared by site managers, most of them belonging to the “Joint Experiment for Crop Assessment and Monitoring” network. This data set allowed testing and comparing across sites the methodologies that will be at the core of the future “Sentinel-2 for Agriculture” system.
- Published
- 2015
38. Building a data set over 12 globally distributed sites to support the development of agriculture monitoring applications with sentinel-2
- Author
-
Bontemps, Sophie, Arias, Marcela, Cara, Cosmin, Dedieu, Gérard, Guzzonato, Eric, Hagolle, Olivier, Inglada, Jordi, Matton, Nicolas, Morin, David, Popescu, Ramona, Rabaute, Thierry, Savinaud, Mickael, Sepulcre, Guadalupe, Valero, Silvia, Ahmad, Ljaz, Bégué, Agnès, Bingfang, Wu, de Abelleyra, Diego, Diarra, Alhousseine, Dupuy, Stéphane, French, Andrew, ul Hassan Akhtar, Ibrar, Kussul, Nataliia, Lebourgeois, Valentine, Le Page, Michel, Newby, Terrence, Savin, Igor, Verón, Santiago R., Koetz, Benjamin, Defourny, Pierre, Bontemps, Sophie, Arias, Marcela, Cara, Cosmin, Dedieu, Gérard, Guzzonato, Eric, Hagolle, Olivier, Inglada, Jordi, Matton, Nicolas, Morin, David, Popescu, Ramona, Rabaute, Thierry, Savinaud, Mickael, Sepulcre, Guadalupe, Valero, Silvia, Ahmad, Ljaz, Bégué, Agnès, Bingfang, Wu, de Abelleyra, Diego, Diarra, Alhousseine, Dupuy, Stéphane, French, Andrew, ul Hassan Akhtar, Ibrar, Kussul, Nataliia, Lebourgeois, Valentine, Le Page, Michel, Newby, Terrence, Savin, Igor, Verón, Santiago R., Koetz, Benjamin, and Defourny, Pierre
- Abstract
Developing better agricultural monitoring capabilities based on Earth Observation data is critical for strengthening food production information and market transparency. The Sentinel-2 mission has the optimal capacity for regional to global agriculture monitoring in terms of resolution (10–20 meter), revisit frequency (five days) and coverage (global). In this context, the European Space Agency launched in 2014 the “Sentinel¬2 for Agriculture” project, which aims to prepare the exploitation of Sentinel-2 data for agriculture monitoring through the development of open source processing chains for relevant products. The project generated an unprecedented data set, made of “Sentinel-2 like” time series and in situ data acquired in 2013 over 12 globally distributed sites. Earth Observation time series were mostly built on the SPOT4 (Take 5) data set, which was specifically designed to simulate Sentinel-2. They also included Landsat 8 and RapidEye imagery as complementary data sources. Images were pre-processed to Level 2A and the quality of the resulting time series was assessed. In situ data about cropland, crop type and biophysical variables were shared by site managers, most of them belonging to the “Joint Experiment for Crop Assessment and Monitoring” network. This data set allowed testing and comparing across sites the methodologies that will be at the core of the future “Sentinel¬2 for Agriculture” system.
- Published
- 2015
39. The fourth phase of the radiative transfermodel intercomparison (RAMI) exercise: actual canopy scenarios and conformity testing
- Author
-
Widlowski, Jean-Luc, Mio, Corrado, Disney, Mathias, Adams, Jennifer, Andredakis, Ioannis, Atzberger, Clement, Brennan, James, Busetto, Lorenzo, Chelle, Michael, Ceccherini, Guido, Colombo, Roberto, Cote, Jean-Francois, Eenmae, Alo, Essery, Richard, Gastellu-Etchegorry, Jean-Philippe, Gobron, Nadine, Grau, Eloi, Haverd, Vanessa E, Homolova, Lucie, Huang, Huaguo, Hunt, Linda, Kobayashi, Hideki, Koetz, Benjamin, Kuusk, Andres, Kuusk, Joel, Lang, Mait, Lewis, Philip E, Lovell, Jennifer L, Malenovky, Zbynek, Meroni, Michele, Morsdorf, Felix, Mottus, Matti, Ni-Meister, Wenge, Pinty, Bernard, Rautiainen, Miina, Schlerf, Martin, Somers, Ben, Stuckens, Jan, Verstraete, Michel M, Yang, Wenze, Zhao, Feng, Zenone, Terenzio, Widlowski, Jean-Luc, Mio, Corrado, Disney, Mathias, Adams, Jennifer, Andredakis, Ioannis, Atzberger, Clement, Brennan, James, Busetto, Lorenzo, Chelle, Michael, Ceccherini, Guido, Colombo, Roberto, Cote, Jean-Francois, Eenmae, Alo, Essery, Richard, Gastellu-Etchegorry, Jean-Philippe, Gobron, Nadine, Grau, Eloi, Haverd, Vanessa E, Homolova, Lucie, Huang, Huaguo, Hunt, Linda, Kobayashi, Hideki, Koetz, Benjamin, Kuusk, Andres, Kuusk, Joel, Lang, Mait, Lewis, Philip E, Lovell, Jennifer L, Malenovky, Zbynek, Meroni, Michele, Morsdorf, Felix, Mottus, Matti, Ni-Meister, Wenge, Pinty, Bernard, Rautiainen, Miina, Schlerf, Martin, Somers, Ben, Stuckens, Jan, Verstraete, Michel M, Yang, Wenze, Zhao, Feng, and Zenone, Terenzio
- Abstract
The RAdiative transfer Model Intercomparison (RAMI) activity focuses on the benchmarking of canopy radiative transfer (RT) models. For the current fourth phase of RAMI, six highly realistic virtual plant environments were constructed on the basis of intensive field data collected from (both deciduous and coniferous) forest stands as well as test sites in Europe and South Africa. Twelve RT modelling groups provided simulations of canopy scale (directional and hemispherically integrated) radiative quantities, as well as a series of binary hemispherical photographs acquired from different locations within the virtual canopies. The simulation results showed much greater variance than those recently analysed for the abstract canopy scenarios of RAMI-IV. Canopy complexity is among the most likely drivers behind operator induced errors that gave rise to the discrepancies. Conformity testing was introduced to separate the simulation results into acceptable and non-acceptable contributions. More specifically, a shared risk approach is used to evaluate the compliance of RT model simulations on the basis of reference data generated with the weighted ensemble averaging technique from ISO-13528. However, using concepts from legal metrology, the uncertainty of this reference solution will be shown to prevent a confident assessment of model performance with respect to the selected tolerance intervals. As an alternative, guarded risk decision rules will be presented to account explicitly for the uncertainty associated with the reference and candidate methods. Both guarded acceptance and guarded rejection approaches are used to make confident statements about the acceptance and/or rejection of RT model simulations with respect to the predefined tolerance intervals.
- Published
- 2015
40. Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2
- Author
-
Bontemps, Sophie, primary, Arias, Marcela, additional, Cara, Cosmin, additional, Dedieu, Gérard, additional, Guzzonato, Eric, additional, Hagolle, Olivier, additional, Inglada, Jordi, additional, Matton, Nicolas, additional, Morin, David, additional, Popescu, Ramona, additional, Rabaute, Thierry, additional, Savinaud, Mickael, additional, Sepulcre, Guadalupe, additional, Valero, Silvia, additional, Ahmad, Ijaz, additional, Bégué, Agnès, additional, Wu, Bingfang, additional, de Abelleyra, Diego, additional, Diarra, Alhousseine, additional, Dupuy, Stéphane, additional, French, Andrew, additional, ul Hassan Akhtar, Ibrar, additional, Kussul, Nataliia, additional, Lebourgeois, Valentine, additional, Le Page, Michel, additional, Newby, Terrence, additional, Savin, Igor, additional, Verón, Santiago, additional, Koetz, Benjamin, additional, and Defourny, Pierre, additional
- Published
- 2015
- Full Text
- View/download PDF
41. Environmental changes. Monitoring land cover changes in the Siberian region of Komi. Estimate of the vegetation trend using remote sensing
- Author
-
Santaniello, Francesca, Koetz, Benjamin, and Cappelli, Andrea
- Subjects
Change Detection ,Unsupervised Classification ,Land-Cover Change ,Landsat ,Trend estimation - Published
- 2012
42. An Automated Method for Annual Cropland Mapping along the Season for Various Globally-Distributed Agrosystems Using High Spatial and Temporal Resolution Time Series
- Author
-
Matton, Nicolas, primary, Canto, Guadalupe, additional, Waldner, François, additional, Valero, Silvia, additional, Morin, David, additional, Inglada, Jordi, additional, Arias, Marcela, additional, Bontemps, Sophie, additional, Koetz, Benjamin, additional, and Defourny, Pierre, additional
- Published
- 2015
- Full Text
- View/download PDF
43. Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery
- Author
-
Inglada, Jordi, primary, Arias, Marcela, additional, Tardy, Benjamin, additional, Hagolle, Olivier, additional, Valero, Silvia, additional, Morin, David, additional, Dedieu, Gérard, additional, Sepulcre, Guadalupe, additional, Bontemps, Sophie, additional, Defourny, Pierre, additional, and Koetz, Benjamin, additional
- Published
- 2015
- Full Text
- View/download PDF
44. On Line Validation Exercise (OLIVE): A Web Based Service for the Validation of Medium Resolution Land Products. Application to FAPAR Products
- Author
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Weiss, Marie, Baret, Frédéric, Block, Tom, Koetz, Benjamin, Burini, Alessandro, Scholze, Bettina, Lecharpentier, Patrice, Brockmann, Carsten, Fernandes, Richard, Plummer, Stephen, Myneni, Ranga, Gobron, Nadine, Nightingale, Joanne, Schaepman-Strub, Gabriela, Camacho, Fernando, Sanchez-Azofeifa, Arturo, Weiss, Marie, Baret, Frédéric, Block, Tom, Koetz, Benjamin, Burini, Alessandro, Scholze, Bettina, Lecharpentier, Patrice, Brockmann, Carsten, Fernandes, Richard, Plummer, Stephen, Myneni, Ranga, Gobron, Nadine, Nightingale, Joanne, Schaepman-Strub, Gabriela, Camacho, Fernando, and Sanchez-Azofeifa, Arturo
- Abstract
The OLIVE (On Line Interactive Validation Exercise) platform is dedicated to the validation of global biophysical products such as LAI (Leaf Area Index) and FAPAR (Fraction of Absorbed Photosynthetically Active Radiation). It was developed under the framework of the CEOS (Committee on Earth Observation Satellites) Land Product Validation (LPV) sub-group. OLIVE has three main objectives: (i) to provide a consistent and centralized information on the definition of the biophysical variables, as well as a description of the main available products and their performances (ii) to provide transparency and traceability by an online validation procedure compliant with the CEOS LPV and QA4EO (Quality Assurance for Earth Observation) recommendations (iii) and finally, to provide a tool to benchmark new products, update product validation results and host new ground measurement sites for accuracy assessment. The functionalities and algorithms of OLIVE are described to provide full transparency of its procedures to the community. The validation process and typical results are illustrated for three FAPAR products: GEOV1 (VEGETATION sensor), MGVIo (MERIS sensor) and MODIS collection 5 FPAR. OLIVE is available on the European Space Agency CAL/VAL portal), including full documentation, validation exercise results, and product extracts.
- Published
- 2014
45. Fuel description: first results. Deliverable D.3.4-3 of the Integrated project 'Fire Paradox'
- Author
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Mårell, Anders, Abdelmoula, Kaïs, Allgöwer, Britta, Borgniet, Laurent, Cassagne, Nathalie, Curt, Thomas, Ganteaume, Anne, Ghosn, Dany, Gitas, Ioannis, Jappiot, Marielle, Jiménez, Enrique, Kazakis, George, Koetz, Benjamin, Lampin, Corinne, Machrouh, Abdelali, Morsdorf, Felix, Pimont, François, Rigolot, Eric, Sesbou, Abdessadek, Vega, José-Antonio, Wellani, W., Ecologie des Forêts Méditerranéennes (URFM), Institut National de la Recherche Agronomique (INRA), Institut National de Recherche en Génie Rural Eaux et Forêts (INRGREF), Ecole Nationale du Génie Rural, des Eaux et des Forêts (ENGREF)-Institution de la Recherche et de l'Enseignement Supérieur Agricoles [Tunis] (IRESA), Universität Zürich [Zürich] = University of Zurich (UZH), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Chania (CIHEAM-IAMC), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM), Aristotle University of Thessaloniki, Centro de investigaciones, Ecole Nationale Forestière Ingénieurs, Ecole Nationale Forestière d'Ingénieurs du Maroc [Salé] (ENFI), and Commanditaire : European Commission (Belgium)
- Subjects
FUEL MAPPING ,FIRE IGNITION ,BULK DENSITY ,[SDV]Life Sciences [q-bio] ,FIRE PREVENTION ,VEGETATION CANOPY ,FIRE SUPPRESSION ,REMOTE SENSING ,FIRE BEHAVIOUR ,FUEL BED ,COMPORTEMENT DU FEU ,FIRE RISK ,FIRE EFFECTS ,FUEL MODELS ,FIRE HAZARD ,FUEL CLASSIFICATION ,PROPRIETE PHYSICOCHMIQUE - Published
- 2008
46. Ray tracing for modeling of small footprint airborne laser scanning returns
- Author
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Morsdorf, Felix, Frey, Othmar, Koetz, Benjamin, Meier, Erich, University of Zurich, Rönnholm, P, Hyyppä, Hannu, Hyyppä, Juha, Rönnholm, P., Hyyppä, H., and Hyyppä, J.
- Subjects
10122 Institute of Geography ,910 Geography & travel - Abstract
Airborne Laser Scanning (ALS) has been established as a valuable tool for the estimation of biophysical canopy variables, such as treeheight and vegetation density. However, up to now most approaches are built upon empirical stand based methods for linking ALS datawith the relevant canopy properties estimated by field work. These empirical methods mostly comprise regression models, where effectsof site conditions and sensor configurations are contained in the models. Thus, these models are only valid for a specific study, whichrenders inter-comparison of different approaches difficult. Physically based approaches exist e.g. for the estimation of tree height andtree location, however systematic underestimation depending upon sampling and vegetation type remains an issue. Using a radiativetransfer model that builds on the foundation of the Open-Source ray tracer povray we are simulating return signals for two ALS systemsettings (footprint size and laser wavelength). The tree crowns are represented by fractal models (L-systems), which explicitly resolvethe position and orientation of single leafs. The model is validated using ALS data from an experiment with geometric reference targets.We were able to reproduce the effects of target size and target reflectance that were found in the real data with our modeling approach.A sensitivity study was carried out in order to determine the effect of properties such as beam divergence (0.5, 1, and 2 mrad), canopyreflectance (laser wavelength, 1064 and 1560 nm) on the ALS return statistics. Using the two laser wavelengths above, we were ableto show that the laser wavelength will not significantly influence discrete return statistics in our model. It was found that first echoreturn statistics only differ significantly if the footprint size was altered by a factor of 4. Last return distributions were significantlydifferent for all three modelled footprint sizes, and we were able to reproduce the effect of an increased number of ground returns forlarge footprint sizes. These forward simulations are a first step in the direction of physically based derivation of biophysical ALS dataproducts and could improve the accuracy of the derived parameters by establishing correction terms., International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI (3/W52), ISSN:1682-1750, ISSN:2194-9034, ISSN:1682-1777
- Published
- 2007
47. Fusion of imaging spectrometer LIDAR data using support vector machines for land cover classification
- Author
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Koetz, Benjamin, Morsdorf, Felix, Curt, T, van der Linden, S, Borgniet, L, Odermatt, Daniel, Alleaume, S, Lampin, C, Jappiot, C, Allgöwer, Britta, University of Zurich, Schaepman, Michael E, Liang, Shunlin, Groot, Nikée E, and Kneubühler, Mathias
- Subjects
10122 Institute of Geography ,910 Geography & travel - Published
- 2007
48. Canopy biochemistry estimation using spectrodirectional CHRIS data
- Author
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Huber, Silvia, Kneubühler, Mathias, Koetz, Benjamin, Schopfer, Jürg T, Zimmermann, Niklaus E, Itten, Klaus I, and University of Zurich
- Subjects
10122 Institute of Geography ,910 Geography & travel - Published
- 2006
49. CHRIS/PROBA data analysis at the Swiss Midlands Testsite
- Author
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Kneubühler, Mathias, Koetz, Benjamin, Huber, Silvia, Schopfer, Jürg, Richter, Rolf, Itten, Klaus I, and University of Zurich
- Subjects
10122 Institute of Geography ,910 Geography & travel - Published
- 2006
50. Three-dimensional forest canopy structure from terrestrial laser scanning
- Author
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Danson, F Mark, Hetherington, David, Morsdorf, Felix, Koetz, Benjamin, Allgöwer, Britta, University of Zurich, Koukal, Tatjana, and Schneider, Werner
- Subjects
10122 Institute of Geography ,910 Geography & travel - Published
- 2006
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