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158 results on '"Tarantino, Cristina"'

2. Management of the olive decline disease complex caused by Xylella fastidiosa subsp. pauca and Neofusicoccum spp. in Apulia, Italy

Author

Scortichini, Marco, Loreti, Stefania, Scala, Valeria, Pucci, Nicoletta, Pilotti, Massimo, Tatulli, Giuseppe, Cesari, Erica, L'Aurora, Alessia, Reverberi, Massimo, Cristella, Nicola, Marangi, Paolo, Blonda, Palma, Tarantino, Cristina, Adamo, Maria, Maggi, Sabino, Cesari, Gianluigi, Girelli, Chiara Roberta, Angilè, Federica, Hussain, Mudassar, Migoni, Danilo, and Fanizzi, Francesco Paolo

Published
2024
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11. Land degradation estimation by SDG 15.3.1 computed at the local scale: the case of the six Mediterranean study sites of the NewLife4Drylands project

Author

Tarantino, Cristina, primary, Vicario, Saverio, additional, Adamo, Maria, additional, Labadessa, Rocco, additional, Assennato, Francesca, additional, Alessi, Nicola, additional, Riitano, Nicola, additional, Vitale, Marcello, additional, Perez, Martina, additional, Domingo-Marimon, Cristina, additional, Montero, Pau, additional, and Carabassa, Vicenc, additional

Published
2023
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15. The impact of landscape and land use changes on the critical zone and society: the Belmont Forum ABRESO project

Author

Richiardi, Chiara, primary, Adamo, Maria, additional, Scartazza, Andrea, additional, Sella, Lisa, additional, Baneschi, Ilaria, additional, Botteghi, Serena, additional, Brugnoli, Enrico, additional, Fuina, Silvana, additional, Gavrichkova, Olga, additional, Maerker, Michael, additional, Mattioni, Michele, additional, Ragazzi, Elena, additional, Rossi, Valentina, additional, Rota, Francesca Silvia, additional, Salvadori, Matteo, additional, Tarantino, Cristina, additional, Vicario, Saverio, additional, Zanetti, Alberto, additional, and Pennisi, Maddalena, additional

Published
2023
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21. Chapter Monitoring changes over a 10-year period, through vegetation maps, in a coastal site in Apulia region (southeastern Italy)

Author

Mantino, Francesca, Albanese, Giuseppe, Tomaselli, Valeria, tarantino, cristina, and Adamo, Maria

Subjects
Habitat change detection, Coastal wetlands, Apulia, Mediterranean sea, thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment
Abstract

This study aims to detect, analyze, and evaluate the habitat changes, between 2010 and 2020, occurred in the Mediterranean wetland system of “Zone Umide della Capitanata e Paludi presso il Golfo di Manfredonia”. We classified habitats in 2020 using Eunis classification and we compared the obtained map with the Eunis map of 2010, obtained using the same approach, in terms of class area, Magnitude of Changes and the corresponding Trend Percentage of Change. It emerged that expansion of agricultural activities and alterations of the hydrological regime are behind most of the observed changes.

Published
2022
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31. Automatic spectral rule-based preliminary mapping of calibrated Landsat TM and ETM+ images

Author

Baraldi, Andrea, Puzzolo, Virginia, Blonda, Palma, Bruzzone, Lorenzo, and Tarantino, Cristina

Subjects
Remote sensing -- Research, Clustering (Computers) -- Research, Fuzzy algorithms -- Usage, Fuzzy algorithms -- Analysis, Fuzzy logic -- Usage, Fuzzy logic -- Analysis, Fuzzy systems -- Usage, Fuzzy systems -- Analysis, Server clustering, Fuzzy logic, Business, Earth sciences, Electronics and electrical industries
Abstract

Based on purely spectral-domain prior knowledge taken from the remote sensing (RS) literature, an original spectral (fuzzy) rule-based per-pixel classifier is proposed. Requiring no training and supervision to run, the proposed spectral rule-based system is suitable for the preliminary classification (primal sketch, in the Marr sense) of Landsat-5 Thematic Mapper and Landsat-7 Enhanced Thematic Mapper Pins images calibrated into planetary reflectance (albedo) and at-satellite temperature. The classification system consists of a modular hierarchical top-down processing structure, which is adaptive to image statistics, computationally efficient, and easy to modify, augment, or scale to other sensors' spectral properties, like those of the Advanced Spaceborne Thermal Emission and Reflection Radiometer and of the Satellite Pour l'Observation de la Terre (SPOT-4 and -5). As output, the proposed system detects a set of meaningful and reliable fuzzy spectral layers (strata) consistent (in terms of one-to-one or many-to-one relationships) with land cover classes found in levels I and II of the U.S. Geological Survey classification scheme. Although kernel spectral categories (e.g., strong vegetation) are detected without requiring any reference sample, their symbolic meaning is intermediate between those (low) of clusters and segments and those (high) of land cover classes (e.g., forest). This means that the application domain of the kernel spectral strata is by no means alternative to RS data clustering, image segmentation, and land cover classification. Rather, prior knowledge-based kernel spectral categories are naturally suitable for driving stratified application-specific classification, clustering, or segmentation of RS imagery that could involve training and supervision. The efficacy and robustness of the proposed rule-based system are tested in two operational RS image classification problems. Index Terms--Data clustering, fuzzy rule, fuzzy set (FS), generalization capability, image classification, image color analysis, image segmentation, one-class classifier, prior knowledge, remotely sensed imagery, spectral information, supervised and unsupervised learning from finite data.

Published
2006

42. Assessing the relative importance of managed crops and semi-natural grasslands as foraging habitats for breeding lesser kestrels Falco naumanniin southeastern Italy

Author

Morganti, Michelangelo, Cecere, Jacopo G., Quilici, Silvia, Tarantino, Cristina, Blonda, Palma N., Griggio, Matteo, Ambrosini, Roberto, and Rubolini, Diego

Abstract

Farmland habitats host important populations of several threatened bird species. So far, how to reconcile farmland management with the maintenance of viable populations of these taxa is a major challenge for conservation biology. Southeastern Italy hosts ca 7000 pairs of breeding lesser kestrels Falco naumanni, representing one of the European strongholds of this small colonial raptor of conservation concern. We firstly assessed the relative importance of managed crops versus semi-natural grasslands in determining the local abundance of lesser kestrels at the landscape scale, and we successively studied the foraging habitat preferences at a smaller spatial scale. Surveys of foraging birds were associated with land-use collection at 191 homogeneous habitat sampling parcels from 14 plots of 16 km2each, uniformly distributed over a 2400 km2area. Each plot was visited six times during the 2017 breeding season (May–July). Land-use markedly changed along the season, unripe cereals being dominant in May, while harvested cereal crops prevailed in July. Land-use did not affect lesser kestrel distribution early in the season while foraging birds were more abundant in plots with a greater proportion of harvested cereal crops and a lower one of semi-natural grassland in the late breeding season. In accordance, the analysis of foraging habitat preferences within plots showed that in May unripe cereal crops and semi-natural grasslands were used proportionally to their availability. In June and July, harvested cereal crops were used more than expected from their availability, while semi-natural grasslands were significantly avoided. Our landscape-scale analysis thus indicates that semi-natural grasslands are much less used in comparison to harvested crops during the mid and late parts of the breeding season, suggesting that lesser kestrel may be able to take advantage of crop management practices more than other farmland birds of conservation priority.

Published
2021
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43. Exploitation of Remote Sensing Data for Land Cover to Habitat Map Translation: A Case Study. GI_Forum 2013 – Creating the GISociety

Author

Tarantino, Cristina, Manakos, Ioannis, Adamo, Maria, Blonda, Palma, Lucas, Richard, Muncher, Sander, Tomaselli, Valeria, Kosmidou, Vasiliki, Petrou, Zisis, and University of Salzburg

Subjects
912,Geography, 912,Geographie
Abstract

Focusing on the Food and Agricultural Organization (FAO) Land Cover Classification System (LCCS) and the recently proposed General Habitat Categories (GHCs) classifycation system, this paper illustrates how expert knowledge concerning class spatial arrangement in the scene at hand class, class phenology and class spectral signature in multitemporal EO images can fill the gaps between the two classification systems and provide LC/LU to habitat translation. An application to a Natura 2000 site in Southern Italy which includes a wetland costal area is discussed.

Published
2016

49. Comparison of Land Cover/Land Use and Habitat Classification Systems for Habitat Mapping from Space: Strengths and Weaknesses Evidenced in Mediterranean Sites of Natura 2000 Network. GI_Forum 2013 – Creating the GISociety

Author

Kallimanis, Athanasios S., Marangi, Carmela, Mucher, Caspar A., Tarantino, Cristina, Lovergine, Francesco, Veronico, Giuseppe, Nagendra, Harini, Adamo, Maria, Panitsa, Maria, Terzi, Massimo, Blonda, Palma, Dimopoulos, Panayotis, Mairota, Paola, Lucas, Richard, Tomaselli, Valeria, and University of Salzburg

Subjects
912,Geography, 912,Geographie
Abstract

At a global level, protected sites have been established for the primary purpose of conserving biodiversity, with survey and monitoring of habitats undertaken largely within their boundaries. However, because of increasing human populations with greater access to resources, there is a need to now consider monitoring anthropic activities in the surrounding landscapes as pressures and disturbances are impacting on the functioning and biodiversity values of many protected sites. Earth Observation (EO) data acquired across a range of spatial and temporal scales offer new opportunities for monitoring biodiversity over varying time-scales, either through direct or indirect mapping of species or habitats. However, Land Cover (LC) and/or Land Use (LU), rather than habitat maps are generated in many national and international programs and, whilst the translation from one classification to the other is desirable, differences in definitions and criteria have so far limited the establishment of a unified approach. Focusing on both natural and non-natural environments associated with Natura 2000 sites in the Mediterranean, this paper considers the extent to which three common LC/LU taxonomies (CORINE, the Food and Agricultural Organisation (FAO) Land Cover Classification System (FAO-LCCS) and the IGBP) can be translated to habitat taxonomies with minimum use of additional environmental attributes and/or in situ data. A qualitative and quantitative analysis based on the Jaccard’s index established the FAOLCCS as being the most useful taxonomy for harmonizing LC/LU maps with different legends and dealing with the complexity of habitat description and as a framework for translating EO-derived LC/LU to habitat categories. As demonstration, a habitat map of a wetland site is obtained through translation of the LCCS taxonomy.

Published
2013

50. Semantic nets for object-oriented land cover mapping: a preliminary example

Author

ARVOR, Damien, Kosmidou, Vassiliki, Libourel Rouge, Thérèse, Adamo, Maria, Tarantino, Cristina, Lucas, Richard, Pierkot, Christelle, Fargette, Mireille, Andrés, Samuel, Durieux, Laurent, ARVOR, Damien, Littoral, Environnement, Télédétection, Géomatique (LETG - Rennes), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), UMR 228 Espace-Dev, Espace pour le développement, Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM), Department of Geography and Earth Sciences (DGES), Aberystwyth University, Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Cartographie et Géomatique (COGIT), Laboratoire des Sciences et Technologies de l'Information Géographique (LaSTIG), École nationale des sciences géographiques (ENSG), Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Institut National de l'Information Géographique et Forestière [IGN] (IGN)-École nationale des sciences géographiques (ENSG), Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Institut National de l'Information Géographique et Forestière [IGN] (IGN), and ird (Unité Espace S140)

Subjects
GEOBIA, [SHS.GEO] Humanities and Social Sciences/Geography, Ontologies, [SHS.GEO]Humanities and Social Sciences/Geography, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2012

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