Jyoteshwar R Nagol (Jyothy)
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Amazon forests maintain consistent canopy structure and greenness during the dry season
DC Morton, J Nagol, CC Carabajal, J Rosette, M Palace, BD Cook, ...
Nature 506 (7487), 221-224, 2014
Generating a long-term land data record from the AVHRR and MODIS instruments
J Pedelty, S Devadiga, E Masuoka, M Brown, J Pinzon, C Tucker, ...
2007 IEEE international Geoscience and remote sensing Symposium, 1021-1025, 2007
Impact of sensor degradation on the MODIS NDVI time series
D Wang, D Morton, J Masek, A Wu, J Nagol, X Xiong, R Levy, E Vermote, ...
Remote Sensing of Environment 119, 55-61, 2012
Satellite‐based evidence for shrub and graminoid tundra expansion in northern Q uebec from 1986 to 2010
KM McManus, DC Morton, JG Masek, D Wang, JO Sexton, JR Nagol, ...
Global Change Biology 18 (7), 2313-2323, 2012
Mapping canopy damage from understory fires in Amazon forests using annual time series of Landsat and MODIS data
DC Morton, RS DeFries, J Nagol, CM Souza Jr, ES Kasischke, GC Hurtt, ...
Remote Sensing of Environment 115 (7), 1706-1720, 2011
Effects of atmospheric variation on AVHRR NDVI data
JR Nagol, EF Vermote, SD Prince
Remote Sensing of Environment 113 (2), 392-397, 2009
Measurement of within-season tree height growth in a mixed forest stand using UAV imagery
J Dempewolf, J Nagol, S Hein, C Thiel, R Zimmermann
Forests 8 (7), 231, 2017
Bidirectional effects in Landsat reflectance estimates: Is there a problem to solve?
JR Nagol, JO Sexton, DH Kim, A Anand, D Morton, E Vermote, ...
ISPRS Journal of Photogrammetry and Remote Sensing 103, 129-135, 2015
A 30+ year AVHRR land surface reflectance climate data record and its application to wheat yield monitoring
B Franch, EF Vermote, JC Roger, E Murphy, I Becker-Reshef, C Justice, ...
Remote Sensing 9 (3), 296, 2017
Ungulate reproductive parameters track satellite observations of plant phenology across latitude and climatological regimes
DC Stoner, JO Sexton, J Nagol, HH Bernales, TC Edwards Jr
PLoS One 11 (2), e0148780, 2016
Quantification of impact of orbital drift on inter-annual trends in AVHRR NDVI data
JR Nagol, EF Vermote, SD Prince
Remote Sensing 6 (7), 6680-6687, 2014
A top-down approach to estimating spatially heterogeneous impacts of development aid on vegetative carbon sequestration
D Runfola, A BenYishay, J Tanner, G Buchanan, J Nagol, M Leu, ...
Sustainability 9 (3), 409, 2017
Characterization of FIREFLY, an imaging spectrometer designed for remote sensing of solar induced fluorescence
I Paynter, B Cook, L Corp, J Nagol, J McCorkel
Sensors 20 (17), 4682, 2020
Ecological effects of fear: How spatiotemporal heterogeneity in predation risk influences mule deer access to forage in a sky‐island system
C Lowrey, KM Longshore, DM Choate, JR Nagol, J Sexton, D Thompson
Ecology and Evolution 9 (12), 7213-7226, 2019
Isolating type-specific phenologies through spectral unmixing of satellite time series
JR Nagol, JO Sexton, A Anand, R Sahajpal, TC Edwards
International Journal of Digital Earth 11 (3), 233-245, 2018
Quantification of error in AVHRR NDVI data
JR Nagol
University of Maryland, College Park, 2011
Morton et al. reply
DC Morton, J Nagol, CC Carabajal, J Rosette, J Rosette, M Palace, ...
Nature 531 (7594), E6-E6, 2016
Next Generation UAV Based Spectral Systems for Environmental Monitoring: project developments, preliminary outcome and findings
PKE Campbell, PA Townsend, D Mandl, VT Ly, C Kingdon, RA Sohlberg, ...
AGU Fall Meeting Abstracts 2015, NH53A-02, 2015
Characterization of Firefly, an Imaging Spectrometer Designed for Airborne Measurements of Solar-Induced Fluorescence
B Cook, L Corp, P Clemens, I Paynter, J Nagol, J McCorkel
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
Mobile Digital Applications for Farmers to Transform Agriculture Statistics from the Bottom Up
ME Brown, K Grace, R Sahajpal, JR Nagol
AGU Fall Meeting Abstracts 2017, GC33D-1097, 2017
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Articles 1–20