| A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales MC Anderson, JM Norman, WP Kustas, R Houborg, PJ Starks, N Agam Remote Sensing of Environment 112 (12), 4227-4241, 2008 | 493 | 2008 |
| The future of Earth observation in hydrology MF McCabe, M Rodell, DE Alsdorf, DG Miralles, R Uijlenhoet, W Wagner, ... Hydrology and earth system sciences 21 (7), 3879-3914, 2017 | 425 | 2017 |
| Drought indicators based on model‐assimilated Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage observations R Houborg, M Rodell, B Li, R Reichle, BF Zaitchik Water Resources Research 48 (7), 2012 | 401 | 2012 |
| Combining vegetation index and model inversion methods for the extraction of key vegetation biophysical parameters using Terra and Aqua MODIS reflectance data R Houborg, H Soegaard, E Boegh Remote sensing of environment 106 (1), 39-58, 2007 | 395 | 2007 |
| Response of Chlorophyll, Carotenoid and SPAD-502 Measurement to Salinity and Nutrient Stress in Wheat (Triticum aestivum L.) SH Shah, R Houborg, MF McCabe Agronomy 7 (3), 61, 2017 | 263 | 2017 |
| Mapping leaf chlorophyll and leaf area index using inverse and forward canopy reflectance modeling and SPOT reflectance data R Houborg, E Boegh Remote sensing of environment 112 (1), 186-202, 2008 | 238 | 2008 |
| Utility of an image-based canopy reflectance modeling tool for remote estimation of LAI and leaf chlorophyll content at the field scale R Houborg, M Anderson, C Daughtry Remote sensing of environment 113 (1), 259-274, 2009 | 225 | 2009 |
| A cubesat enabled spatio-temporal enhancement method (cestem) utilizing planet, landsat and modis data R Houborg, MF McCabe Remote Sensing of Environment 209, 211-226, 2018 | 223 | 2018 |
| A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning R Houborg, MF McCabe ISPRS Journal of Photogrammetry and Remote Sensing 135, 173-188, 2018 | 189 | 2018 |
| High-Resolution NDVI from planet’s constellation of earth observing nano-satellites: A new data source for precision agriculture R Houborg, MF McCabe Remote Sensing 8 (9), 768, 2016 | 185 | 2016 |
| Advances in remote sensing of vegetation function and traits R Houborg, JB Fisher, AK Skidmore International Journal of Applied Earth Observation and Geoinformation 43, 1-6, 2015 | 159 | 2015 |
| Joint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC) R Houborg, M McCabe, A Cescatti, F Gao, M Schull, A Gitelson Remote Sensing of Environment 159, 203-221, 2015 | 145 | 2015 |
| Satellite retrievals of leaf chlorophyll and photosynthetic capacity for improved modeling of GPP R Houborg, A Cescatti, M Migliavacca, WP Kustas Agricultural and Forest Meteorology 177, 10-23, 2013 | 135 | 2013 |
| A random forest machine learning approach for the retrieval of leaf chlorophyll content in wheat SH Shah, Y Angel, R Houborg, S Ali, MF McCabe Remote Sensing 11 (8), 920, 2019 | 133 | 2019 |
| Daily Retrieval of NDVI and LAI at 3 m Resolution via the Fusion of CubeSat, Landsat, and MODIS Data R Houborg, MF McCabe Remote Sensing 10 (6), 890, 2018 | 126 | 2018 |
| A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery DP Roy, H Huang, R Houborg, VS Martins Remote Sensing of Environment 264, 112586, 2021 | 102 | 2021 |
| CubeSats in hydrology: Ultrahigh‐resolution insights into vegetation dynamics and terrestrial evaporation MF McCabe, B Aragon, R Houborg, J Mascaro Water Resources Research 53 (12), 10017-10024, 2017 | 92 | 2017 |
| Regional simulation of ecosystem CO2 and water vapor exchange for agricultural land using NOAA AVHRR and Terra MODIS satellite data. Application to Zealand, Denmark RM Houborg, H Soegaard Remote Sensing of Environment 93 (1-2), 150-167, 2004 | 81 | 2004 |
| CubeSats enable high spatiotemporal retrievals of crop-water use for precision agriculture B Aragon, R Houborg, K Tu, JB Fisher, M McCabe Remote Sensing 10 (12), 1867, 2018 | 77 | 2018 |
| Using leaf chlorophyll to parameterize light-use-efficiency within a thermal-based carbon, water and energy exchange model R Houborg, MC Anderson, CST Daughtry, WP Kustas, M Rodell Remote Sensing of Environment 115 (7), 1694-1705, 2011 | 68 | 2011 |
Alessandro CescattiEuropean Commission, JRC, Directorate for Sustainable ResourcesVerifisert e-postadresse på ec.europa.eu
