728 results on '"Fritz, Steffen"'
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2. Annual 30-m maps of global grassland class and extent (2000–2022) based on spatiotemporal Machine Learning
3. The importance of capturing management in forest restoration targets
4. The contributions of citizen science to SDG monitoring and reporting on marine plastics
5. A Cloud-native Approach for Processing of Crowdsourced GNSS Observations and Machine Learning at Scale: A Case Study from the CAMALIOT Project
6. Comparative validation of recent 10 m-resolution global land cover maps
7. A global forest growing stock, biomass and carbon map based on FAO statistics
8. Satellite reveals age and extent of oil palm plantations in Southeast Asia
9. The global exposure of species ranges and protected areas to forest management
10. Pantropical distribution of short-rotation woody plantations: spatial probabilities under current and future climate
11. Author Correction: The importance of capturing management in forest restoration targets
12. Dynamic global-scale crop and irrigation monitoring
13. Measuring the world’s cropland area
14. Time series analysis for global land cover change monitoring: A comparison across sensors
15. A national-scale land cover reference dataset from local crowdsourcing initiatives in Indonesia
16. Global forest management data for 2015 at a 100 m resolution
17. Estimating global economic well-being with unlit settlements
18. Drivers of tropical forest loss between 2008 and 2019
19. A crowdsourced global data set for validating built-up surface layers
20. Mapping global grassland dynamics 2000—2022 at 30m spatial resolution using spatiotemporal Machine Learning
21. Areas of global importance for conserving terrestrial biodiversity, carbon and water
22. Mapping the effects of drought on child stunting
23. Author Correction: Measuring the world’s cropland area
24. Mapping citizen science contributions to the UN sustainable development goals
25. Bending the curve of terrestrial biodiversity needs an integrated strategy
26. Author Correction: A map of the extent and year of detection of oil palm plantations in Indonesia, Malaysia and Thailand
27. Russian forest sequesters substantially more carbon than previously reported
28. A map of the extent and year of detection of oil palm plantations in Indonesia, Malaysia and Thailand
29. Conflation of expert and crowd reference data to validate global binary thematic maps
30. The importance of distinguishing natural forest regrowth from managed tree systems
31. Crowd-Driven Deep Learning Tracks Amazon Deforestation
32. Independent data for transparent monitoring of greenhouse gas emissions from the land use sector – What do stakeholders think and need?
33. Mapping Human Impact Using Crowdsourcing
34. Concluding Remarks
35. Introduction
36. Feasibility of a large multi-center translational research project for newly diagnosed breast and ovarian cancer patients with affiliated biobank: the BRandO biology and outcome (BiO)-project
37. Citizen science and the United Nations Sustainable Development Goals
38. A spatial assessment of the forest carbon budget for Ukraine
39. Recent Advances in Forest Observation with Visual Interpretation of Very High-Resolution Imagery
40. Special Paper: A New Land-Cover Map of Africa for the Year 2000
41. Vote Aggregation Techniques in the Geo-Wiki Crowdsourcing Game: A Case Study
42. The Value of Global Earth Observations
43. Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information
44. Farming and the geography of nutrient production for human use: a transdisciplinary analysis
45. What do we know about poverty in North Korea?
46. Author Correction: Areas of global importance for conserving terrestrial biodiversity, carbon and water
47. CROPS: changing the scale of citizen science towards the transnational level.
48. Mapping and modelling of wild land areas in Europe and Great Britain : a multi-scale approach
49. The Cropland Capture Game: Good Annotators Versus Vote Aggregation Methods
50. Collecting volunteered geographic information from the Global Navigation Satellite System (GNSS): experiences from the CAMALIOT project
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