about
Regional simulation of ecosystem CO2 and water vapor exchange for agricultural land using NOAA AVHRR and Terra MODIS satellite data. Application to Zealand, DenmarkThe Future of Earth Observation in HydrologyEvaluating the hydrological consistency of evaporation products using satellite-based gravity and rainfall dataAdvances in remote sensing of vegetation function and traitsDrought indicators based on model-assimilated Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage observationsUsing leaf chlorophyll to parameterize light-use-efficiency within a thermal-based carbon, water and energy exchange modelCombining observations in the reflective solar and thermal domains for improved mapping of carbon, water and energy fluxesUsing enhanced GRACE water storage data to improve drought detection by the U.S. and North American Drought MonitorsModeling burned area in Europe with the Community Land ModelDaily Retrieval of NDVI and LAI at 3 m Resolution via the Fusion of CubeSat, Landsat, and MODIS DataA Cubesat enabled Spatio-Temporal Enhancement Method (CESTEM) utilizing Planet, Landsat and MODIS dataCubeSats in Hydrology: Ultrahigh-Resolution Insights Into Vegetation Dynamics and Terrestrial EvaporationImpacts of dust aerosol and adjacency effects on the accuracy of Landsat 8 and RapidEye surface reflectancesHigh-Resolution NDVI from Planet’s Constellation of Earth Observing Nano-Satellites: A New Data Source for Precision AgricultureAdapting a regularized canopy reflectance model (REGFLEC) for the retrieval challenges of dryland agricultural systemsDetection of chlorophyll and leaf area index dynamics from sub-weekly hyperspectral imageryHigh-resolution sensing for precision agriculture: from Earth-observing satellites to unmanned aerial vehiclesRemoval of clouds, dust and shadow pixels from hyperspectral imagery using a non-separable and stationary spatio-temporal covariance modelA Spatio-Temporal Enhancement Method for medium resolution LAI (STEM-LAI)Application of a regularized model inversion system (REGFLEC) to multi-temporal RapidEye imagery for retrieving vegetation characteristicsDownscaling of coarse resolution LAI products to achieve both high spatial and temporal resolution for regions of interestJoint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC)Leaf chlorophyll constraint on model simulated gross primary productivity in agricultural systemsTowards a satellite based system for monitoring agricultural water use: A case study for Saudi ArabiaRemote sensing of LAI, chlorophyll and leaf nitrogen pools of crop- and grasslands in five European landscapes
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description
onderzoeker
@nl
researcher, ORCID id # 0000-0002-3604-0747
@en
name
Rasmus Houborg
@ast
Rasmus Houborg
@en
Rasmus Houborg
@es
Rasmus Houborg
@nl
type
label
Rasmus Houborg
@ast
Rasmus Houborg
@en
Rasmus Houborg
@es
Rasmus Houborg
@nl
prefLabel
Rasmus Houborg
@ast
Rasmus Houborg
@en
Rasmus Houborg
@es
Rasmus Houborg
@nl
P108
P106
P108
P1153
55887377500
P2456
P31
P496
0000-0002-3604-0747