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Rasmus Houborg
Rasmus Houborg
Planet Labs
Verified email at planet.com
Title
Cited by
Cited by
Year
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
5052008
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
4422017
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
4162012
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
4032007
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
2762017
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
2442008
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
2322009
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
2272018
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
1972018
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
1892016
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
1632015
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
1512015
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
1412019
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
1382013
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
1272018
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
1112021
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
952017
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
812004
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
802018
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
702015
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