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Josh Gray
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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
5902014
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
2792019
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
2752018
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
2742014
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
1632020
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
1332017
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
1302018
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
1212014
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
1172016
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
1172012
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
1152014
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
882014
Consistent classification of image time series with automatic adaptive signature generalization
J Gray, C Song
Remote Sensing of Environment 134, 333-341, 2013
702013
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
602014
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
542016
MCD12Q2 MODIS/Terra+ Aqua Land Cover Dynamics Yearly L3 Global 500m SIN Grid V006
M Friedl, J Gray, D Sulla-Menashe
NASA EOSDIS Land Processes DAAC, 2019
462019
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, ...
462018
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
452019
Comparing quantity, allocation and configuration accuracy of multiple land change models
B Pickard, J Gray, R Meentemeyer
Land 6 (3), 52, 2017
442017
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
362019
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