Rasmus Houborg
Rasmus Houborg
Planet Labs
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Leaf chlorophyll constraint on model simulated gross primary productivity in agricultural systems
R Houborg, MF McCabe, A Cescatti, AA Gitelson
International Journal of Applied Earth Observation and Geoinformation 43 …, 2015
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