Summer warming explains widespread but not uniform greening in the Arctic tundra biome L Berner, R Massey, P Jantz, BC Forbes, M Macias Fauria, I Myers-Smith, ... Nature Communications, 2020 | 356 | 2020 |
MODIS phenology-derived, multi-year distribution of conterminous U.S. crop types R Massey, TT Sankey, R Congalton, K Yadav, PS Thenkabail, M Ozdogan, ... Remote Sensing of Environment 198, 490–503, 2017 | 165 | 2017 |
Global Cropland Area Database (GCAD) derived from remote sensing in support of food security in the twenty-first century: current achievements and future possibilities P Teluguntla, PS Thenkabail, J Xiong, MK Gumma, C Giri, C Milesi, ... Taylor & Francis 2, 01-45, 2015 | 86 | 2015 |
Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data P Teluguntla, PS Thenkabail, J Xiong, MK Gumma, RG Congalton, ... International Journal of Digital Earth 10 (9), 944-977, 2017 | 81 | 2017 |
Integrating cloud-based workflows in continental-scale cropland extent classification R Massey, TT Sankey, K Yadav, R Congalton, J Tilton Remote Sensing of Environment 219, 162-179, 2018 | 70 | 2018 |
NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) @ 30-m for North America: Cropland Extent … R Massey, T Sankey, K Yadav, RG Congalton, JC Tilton, PS Thenkabail doi.org/10.5067/MEaSUREs/GFSAD/GFSAD30NACE.001, 2017 | 64* | 2017 |
Global cropland-extent product at 30-m resolution (GCEP30) derived from Landsat satellite time-series data for the year 2015 using multiple machine-learning algorithms on … PS Thenkabail, PG Teluguntla, J Xiong, A Oliphant, RG Congalton, ... Professional Paper, 2021 | 61 | 2021 |
Climate change decreases the cooling effect from postfire albedo in boreal North America S Potter, K Solvik, A Erb, SJ Goetz, JF Johnstone, MC Mack, ... Global change biology 26 (3), 1592-1607, 2020 | 44 | 2020 |
Regional‐scale forest restoration effects on ecosystem resiliency to drought: A synthesis of vegetation and moisture trends on Google Earth Engine T Sankey, A Belmonte, R Massey, J Leonard Remote Sensing in Ecology and Conservation 7 (2), 259-274, 2021 | 31 | 2021 |
Remote sensing tools for monitoring forests and tracking their dynamics R Massey, LT Berner, AC Foster, SJ Goetz, U Vepakomma Boreal forests in the face of climate change: sustainable management, 637-655, 2023 | 21 | 2023 |
NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD)@ 30-m for Europe A Phalke, M Ozdogan, PS Thenkabail, RG Congalton, K Yadav, R Massey, ... Middle-East, Russia and Central Asia: Cropland Extent Product …, 2017 | 20 | 2017 |
Mapping tree diversity in the tropical forest region of Chocó-Colombia JC Fagua, P Jantz, P Burns, R Massey, JY Buitrago, S Saatchi, ... Environmental Research Letters 16 (5), 054024, 2021 | 18 | 2021 |
Forest composition change and biophysical climate feedbacks across boreal North America R Massey, BM Rogers, LT Berner, S Cooperdock, MC Mack, XJ Walker, ... Nature Climate Change 13 (12), 1368-1375, 2023 | 17 | 2023 |
Post‐socialist cropland changes and abandonment in Mongolia. TT Sankey, R Massey, K Yadav, RG Congalton, JC Tilton Land Degradation & Development, 2018 | 16 | 2018 |
Shifts in ecological legacies support hysteresis of stand type conversions in boreal forests XJ Walker, K Okano, LT Berner, R Massey, SJ Goetz, JF Johnstone, ... Ecosystems 26 (8), 1796-1805, 2023 | 12 | 2023 |
NASA MEaSUREs Global Food Security Support Analysis Data (GFSAD) Crop Mask 2010 Global 1 km V001 P Thenkabail, P Teluguntla, J Xiong, A Oliphant, R Massey NASA EOSDIS Land Processes DAAC, 2016 | 10 | 2016 |
NASA making earth system data records for use in research environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) cropland extent 2015 Australia, New Zealand … P Teluguntla, PS Thenkabail, J Xiong, MK Gumma, RG Congalton, ... NASA EOSDIS Land Processes DAAC, 2017 | 7 | 2017 |
Artificial neural networks in temporal and spatial variability studies and prediction of rainfall M Richard, K Gopal Rao ISH Journal of Hydraulic Engineering 20 (1), 1-6, 2014 | 7 | 2014 |
The predictability of near‐term forest biomass change in boreal North America AL Burrell, S Cooperdock, S Potter, LT Berner, R Hember, MJ Macander, ... Ecosphere 15 (1), e4737, 2024 | 1 | 2024 |
Mapping boreal forest deciduous fractional cover across Alaska and Western Canada R Massey, S Goetz, L Berner, M Mack, B Rogers AGU Fall Meeting Abstracts, 2018 | 1 | 2018 |