| Net carbon uptake has increased through warming-induced changes in temperate forest phenology TF Keenan, J Gray, MA Friedl, M Toomey, G Bohrer, DY Hollinger, ... Nature Climate Change 4 (7), 598-604, 2014 | 822 | 2014 |
| Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product D Sulla-Menashe, JM Gray, SP Abercrombie, MA Friedl Remote sensing of environment 222, 183-194, 2019 | 493 | 2019 |
| Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery AD Richardson, K Hufkens, T Milliman, DM Aubrecht, M Chen, JM Gray, ... Scientific data 5 (1), 1-24, 2018 | 389 | 2018 |
| Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery ST Klosterman, K Hufkens, JM Gray, E Melaas, O Sonnentag, I Lavine, ... Biogeosciences 11 (16), 4305-4320, 2014 | 351 | 2014 |
| Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery DK Bolton, JM Gray, EK Melaas, M Moon, L Eklundh, MA Friedl Remote Sensing of Environment 240, 111685, 2020 | 317 | 2020 |
| Exploration of scaling effects on coarse resolution land surface phenology X Zhang, J Wang, F Gao, Y Liu, C Schaaf, M Friedl, Y Yu, S Jayavelu, ... Remote Sensing of Environment 190, 318-330, 2017 | 187 | 2017 |
| Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery X Zhang, S Jayavelu, L Liu, MA Friedl, GM Henebry, Y Liu, CB Schaaf, ... Agricultural and Forest Meteorology 256, 137-149, 2018 | 174 | 2018 |
| Multisite analysis of land surface phenology in North American temperate and boreal deciduous forests from Landsat EK Melaas, D Sulla-Menashe, JM Gray, TA Black, TH Morin, ... Remote Sensing of Environment 186, 452-464, 2016 | 156 | 2016 |
| Direct human influence on atmospheric CO2 seasonality from increased cropland productivity JM Gray, S Frolking, EA Kort, DK Ray, CJ Kucharik, N Ramankutty, ... Nature 515 (7527), 398-401, 2014 | 148 | 2014 |
| Mapping crop cycles in China using MODIS-EVI time series L Li, MA Friedl, Q Xin, J Gray, Y Pan, S Frolking Remote Sensing 6 (3), 2473-2493, 2014 | 132 | 2014 |
| Mapping leaf area index using spatial, spectral, and temporal information from multiple sensors J Gray, C Song Remote Sensing of Environment 119, 173-183, 2012 | 127 | 2012 |
| A tale of two springs: using recent climate anomalies to characterize the sensitivity of temperate forest phenology to climate change MA Friedl, JM Gray, EK Melaas, AD Richardson, K Hufkens, TF Keenan, ... Environmental Research Letters 9 (5), 054006, 2014 | 104 | 2014 |
| Long-term continuity in land surface phenology measurements: A comparative assessment of the MODIS land cover dynamics and VIIRS land surface phenology products M Moon, X Zhang, GM Henebry, L Liu, JM Gray, EK Melaas, MA Friedl Remote sensing of environment 226, 74-92, 2019 | 75 | 2019 |
| A new seasonal‐deciduous spring phenology submodel in the Community Land Model 4.5: Impacts on carbon and water cycling under future climate scenarios M Chen, EK Melaas, JM Gray, MA Friedl, AD Richardson Global Change Biology 22 (11), 3675-3688, 2016 | 74 | 2016 |
| User guide to collection 6 modis land cover dynamics (mcd12q2) product J Gray, D Sulla-Menashe, MA Friedl NASA EOSDIS Land Processes DAAC: Missoula, MT, USA 6, 1-8, 2019 | 73 | 2019 |
| Mapping Asian cropping intensity with MODIS J Gray, M Friedl, S Frolking, N Ramankutty, A Nelson, MK Gumma IEEE Journal of selected topics in applied earth observations and remote …, 2014 | 72 | 2014 |
| Consistent classification of image time series with automatic adaptive signature generalization J Gray, C Song Remote Sensing of Environment 134, 333-341, 2013 | 72 | 2013 |
| Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery, Sci. Data, 5, 180028 AD Richardson, K Hufkens, T Milliman, DM Aubrecht, M Chen, JM Gray, ... | 68 | 2018 |
| Comparing quantity, allocation and configuration accuracy of multiple land change models B Pickard, J Gray, R Meentemeyer Land 6 (3), 52, 2017 | 59 | 2017 |
| An empirical assessment of the MODIS land cover dynamics and TIMESAT land surface phenology algorithms R Stanimirova, Z Cai, EK Melaas, JM Gray, L Eklundh, P Jönsson, ... Remote Sensing 11 (19), 2201, 2019 | 33 | 2019 |
