| 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 | 482 | 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 | 253 | 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 | 235 | 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 | 179 | 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 | 170 | 2011 |
| Effects of atmospheric variation on AVHRR NDVI data JR Nagol, EF Vermote, SD Prince Remote Sensing of Environment 113 (2), 392-397, 2009 | 121 | 2009 |
| 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 | 83 | 2015 |
| 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 | 82 | 2017 |
| 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 | 73 | 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 | 54 | 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 | 39 | 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 | 14 | 2017 |
| 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 | 12 | 2019 |
| 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 | 9 | 2020 |
| 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 | 7 | 2018 |
| Quantification of error in AVHRR NDVI data JR Nagol University of Maryland, College Park, 2011 | 6 | 2011 |
| Morton et al. reply DC Morton, J Nagol, CC Carabajal, J Rosette, J Rosette, M Palace, ... Nature 531 (7594), E6-E6, 2016 | 2 | 2016 |
| 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 | 1 | 2018 |
| 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 | 1 | 2015 |
| Opportunities and challenges of using Planet-Fusion data for monitoring crop health and progress JR Nagol, A Soares, I Padisiadlo, NE Kilham, S Gmur, N Kayastha, ... AGU24, 2024 | | 2024 |
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