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| Land cover classification system: classification concepts and user manual: LCCS A Di Gregorio Food & Agriculture Org., 2005 | 1715* | 2005 |
| Projecting global forest area towards 2030 R d’Annunzio, M Sandker, Y Finegold, Z Min Forest Ecology and Management 352, 124-133, 2015 | 159 | 2015 |
| Map accuracy assessment and area estimation: a practical guide Y Finegold, A Ortmann FAO;, 2016 | 59 | 2016 |
| Response to Comments on “The global tree restoration potential” JF Bastin, Y Finegold, C Garcia, N Gellie, A Lowe, D Mollicone, ... Science 366 (6463), eaay8108, 2019 | 40 | 2019 |
| Global deforestation patterns: comparing recent and past forest loss processes through a spatially explicit analysis M Sandker, Y Finegold, R D'annunzio, E Lindquist International Forestry Review 19 (3), 350-368, 2017 | 36 | 2017 |
| Routh,… Crowther, TW (2019). The global tree restoration potential JF Bastin, Y Finegold, C Garcia, D Mollicone, M Rezende Science 365 (6448), 76-79, 0 | 31 | |
| Data quality reporting: Good practice for transparent estimates from forest and land cover surveys L Birigazzi, TG Gregoire, Y Finegold, RDC Golec, M Sandker, E Donegan, ... Environmental Science & Policy 96, 85-94, 2019 | 18 | 2019 |
| Land cover classification system software version 2 A Di Gregorio, M Henry, E Donegan, Y Finegold, J Latham, I Jonkheere, ... Based on the orig. software version 1, 2013 | 14 | 2013 |
| Spatial database of planted forests in East Asia AO Abbasi, X Tang, NL Harris, ED Goldman, JGP Gamarra, M Herold, ... Scientific data 10 (1), 480, 2023 | 12 | 2023 |
| A cloud-based evaluation of the National land cover database to support New Mexico’s food–energy–water systems MG Gedefaw, HME Geli, K Yadav, AJ Zaied, Y Finegold, KG Boykin Remote Sensing 12 (11), 1830, 2020 | 9 | 2020 |
| Forest restoration: Transformative trees—Response JF Bastin, Y Finegold, C Garcia, D Mollicone, M Rezende, D Routh, ... Science 366 (6463), 317-317, 2019 | 7 | 2019 |
| Mapping Together: A guide to monitoring forest and landscape restoration using Collect Earth mapathons K Reytar, D Martin, F Landsberg, S Ray, CG Granizo, RZ Cristales, ... | 4 | 2021 |
| Restoring Degraded Landscapes through an Integrated Approach Using Geospatial Technologies in the Context of the Humanitarian Crisis in Cox’s Bazar, Bangladesh R Jalal, R Mahamud, MTA Arif, S Ritu, MF Kumar, B Ahmed, MH Kabir, ... Land 12 (2), 352, 2023 | 2 | 2023 |
| Measuring progress in forest and landscape restoration K Reytar, K Buckingham, F Stolle, J Brandt, RZ Cristales, F Landsberg, ... Unasylva 71 (252), 62-70, 2020 | 2 | 2020 |
| Monitoring Sustainable Development Goal Indicator 15.3. 1 on Land Degradation Using SEPAL: Examples, Challenges and Prospects A Ghosh, P Rambaud, Y Finegold, I Jonckheere, P Martin-Ortega, R Jalal, ... Land 13 (7), 1027, 2024 | 1 | 2024 |
| The global tree restoration potential (vol 368, eabc8905, 2020) JF Bastin, Y Finegold, C Garcia, D Mollicone, M Rezende, D Routh, ... Science 369 (6507), 1066, 2020 | 1 | 2020 |
| Evaluating the impact of land use/land cover change on food production using cloud-based dense time series analysis to Support New Mexico's Food-Energy-Water Systems Analysis MG Gedefaw, HME Geli, Y Finegold AGU Fall Meeting Abstracts 2018, B21C-06B, 2018 | 1 | 2018 |
| Applying Earth Observation Data to Forest Restoration Decision Making Through Time-Series Analysis in Nepal C Wespestad, R Aryal, AK Acharya, B Acharya, J Dilger, J Vincent, Y Yi, ... AGU Fall Meeting Abstracts 2021, GC55F-0487, 2021 | | 2021 |
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