Lista de obras - Rasmus Houborg - Dominio Público Uruguay

A Cubesat enabled Spatio-Temporal Enhancement Method (CESTEM) utilizing Planet, Landsat and MODIS data

scholarly article by Rasmus Houborg & Matthew F. McCabe published May 2018 in Remote Sensing of Environment

A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat

artículo científico

A Spatio-Temporal Enhancement Method for medium resolution LAI (STEM-LAI)

scholarly article

A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning

scholarly article by Rasmus Houborg & Matthew F. McCabe published January 2018 in ISPRS Journal of Photogrammetry and Remote Sensing

A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales

artículo científico publicado en 2008

Adapting a regularized canopy reflectance model (REGFLEC) for the retrieval challenges of dryland agricultural systems

article

Advanced harmonization and sensor fusion to transform data readiness and resolution for big data analytics

artículo científico

Advances in remote sensing of vegetation function and traits

An integrated approach for high spatial resolution mapping of water and carbon fluxes using multi-sensor satellite data

artículo científico publicado en 2012

Application of a regularized model inversion system (REGFLEC) to multi-temporal RapidEye imagery for retrieving vegetation characteristics

Combining observations in the reflective solar and thermal domains for improved mapping of carbon, water and energy fluxes

Combining vegetation index and model inversion methods for the extraction of key vegetation biophysical parameters using Terra and Aqua MODIS reflectance data

artículo científico

Constraining model simulations of GPP using satellite retrieved leaf chlorophyll

artículo científico

CubeSats Enable High Spatiotemporal Retrievals of Crop-Water Use for Precision Agriculture

CubeSats in Hydrology: Ultrahigh-Resolution Insights Into Vegetation Dynamics and Terrestrial Evaporation

article

Daily Retrieval of NDVI and LAI at 3 m Resolution via the Fusion of CubeSat, Landsat, and MODIS Data

scholarly article

Detection of chlorophyll and leaf area index dynamics from sub-weekly hyperspectral imagery

article

Downscaling of coarse resolution LAI products to achieve both high spatial and temporal resolution for regions of interest

scholarly article

Drought indicators based on model-assimilated Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage observations

article

Evaluating the hydrological consistency of evaporation products using satellite-based gravity and rainfall data

Evaluating the hydrological consistency of satellite based water cycle components

High-Resolution NDVI from Planet’s Constellation of Earth Observing Nano-Satellites: A New Data Source for Precision Agriculture

scholarly article by Rasmus Houborg & Matthew F. McCabe published 19 September 2016 in Remote Sensing

High-resolution sensing for precision agriculture: from Earth-observing satellites to unmanned aerial vehicles

Impacts of dust aerosol and adjacency effects on the accuracy of Landsat 8 and RapidEye surface reflectances

scholarly article by Rasmus Houborg & Matthew F. McCabe published June 2017 in Remote Sensing of Environment

Inferences of all‐sky solar irradiance using Terra and Aqua MODIS satellite data

artículo científico

Integrating satellite retrieved leaf chlorophyll into land surface models for constraining simulations of water and carbon fluxes

artículo científico

Intercomparison of a ‘bottom-up’ and ‘top-down’ modeling paradigm for estimating carbon and energy fluxes over a variety of vegetative regimes across the U.S

artículo científico publicado en 2009

Intercomparison of a ‘bottom-up’ and ‘top-down’ modeling paradigm for estimating carbon and energy fluxes over a variety of vegetative regimes across the U.S

artículo científico

Joint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC)

article

Leaf chlorophyll constraint on model simulated gross primary productivity in agricultural systems

article

Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling and a satellite-model fusion approach

artículo científico

Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling, and a satellite–model fusion approach

artículo científico

Mapping leaf chlorophyll and leaf area index using inverse and forward canopy reflectance modeling and SPOT reflectance data

artículo científico

Modeling burned area in Europe with the Community Land Model

article

Monitoring water and carbon fluxes at fine spatial scales using HyspIRI-like measurements

artículo científico publicado en 2012

On the relationship between nominal light use efficiency and leaf chlorophyll

artículo científico publicado en 2012

Reconstructing Cloud Contaminated Pixels Using Spatiotemporal Covariance Functions and Multitemporal Hyperspectral Imagery

artículo científico

Regional simulation of ecosystem CO2 and water vapor exchange for agricultural land using NOAA AVHRR and Terra MODIS satellite data. Application to Zealand, Denmark

artículo científico publicado en 2004

Remote sensing of LAI, chlorophyll and leaf nitrogen pools of crop- and grasslands in five European landscapes

artículo científico publicado en 2013

Removal of clouds, dust and shadow pixels from hyperspectral imagery using a non-separable and stationary spatio-temporal covariance model

scholarly article published 25 October 2016

Retrieving Leaf Area Index From Landsat Using MODIS LAI Products and Field Measurements

artículo científico publicado en 2014

Satellite retrievals of leaf chlorophyll and photosynthetic capacity for improved modeling of GPP

artículo científico

The Future of Earth Observation in Hydrology

scholarly article by Matthew F. McCabe et al published 2017 in Hydrology and Earth System Sciences

The Future of Earth Observation in Hydrology

scholarly article by Matthew F. McCabe et al published 9 February 2017 in Hydrology and earth system sciences discussions

Thermal-based modeling of coupled carbon, water, and energy fluxes using nominal light use efficiencies constrained by leaf chlorophyll observations

scholarly article

Time series from hyperion to track productivity in pivot agriculture in saudi arabia

Towards a satellite based system for monitoring agricultural water use: A case study for Saudi Arabia

article published in 2015

Using enhanced GRACE water storage data to improve drought detection by the U.S. and North American Drought Monitors

scholarly article published July 2010

Using leaf chlorophyll to parameterize light-use-efficiency within a thermal-based carbon, water and energy exchange model

article

Utility of an Image-Based Canopy Reflectance Modeling Tool for Remote Estimation of LAI and Leaf Chlorophyll Content in Crop Systems

artículo científico

Utility of an image-based canopy reflectance modeling tool for remote estimation of LAI and leaf chlorophyll content at the field scale

artículo científico publicado en 2009

Lista de obras de Rasmus Houborg

A Cubesat enabled Spatio-Temporal Enhancement Method (CESTEM) utilizing Planet, Landsat and MODIS data

A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat

A Spatio-Temporal Enhancement Method for medium resolution LAI (STEM-LAI)

A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning

A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales

Adapting a regularized canopy reflectance model (REGFLEC) for the retrieval challenges of dryland agricultural systems

Advanced harmonization and sensor fusion to transform data readiness and resolution for big data analytics

Advances in remote sensing of vegetation function and traits

An integrated approach for high spatial resolution mapping of water and carbon fluxes using multi-sensor satellite data

Application of a regularized model inversion system (REGFLEC) to multi-temporal RapidEye imagery for retrieving vegetation characteristics

Combining observations in the reflective solar and thermal domains for improved mapping of carbon, water and energy fluxes

Combining vegetation index and model inversion methods for the extraction of key vegetation biophysical parameters using Terra and Aqua MODIS reflectance data

Constraining model simulations of GPP using satellite retrieved leaf chlorophyll

CubeSats Enable High Spatiotemporal Retrievals of Crop-Water Use for Precision Agriculture

CubeSats in Hydrology: Ultrahigh-Resolution Insights Into Vegetation Dynamics and Terrestrial Evaporation

Daily Retrieval of NDVI and LAI at 3 m Resolution via the Fusion of CubeSat, Landsat, and MODIS Data

Detection of chlorophyll and leaf area index dynamics from sub-weekly hyperspectral imagery

Downscaling of coarse resolution LAI products to achieve both high spatial and temporal resolution for regions of interest

Drought indicators based on model-assimilated Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage observations

Evaluating the hydrological consistency of evaporation products using satellite-based gravity and rainfall data

Evaluating the hydrological consistency of satellite based water cycle components

High-Resolution NDVI from Planet’s Constellation of Earth Observing Nano-Satellites: A New Data Source for Precision Agriculture

High-resolution sensing for precision agriculture: from Earth-observing satellites to unmanned aerial vehicles

Impacts of dust aerosol and adjacency effects on the accuracy of Landsat 8 and RapidEye surface reflectances

Inferences of all‐sky solar irradiance using Terra and Aqua MODIS satellite data

Integrating satellite retrieved leaf chlorophyll into land surface models for constraining simulations of water and carbon fluxes

Intercomparison of a ‘bottom-up’ and ‘top-down’ modeling paradigm for estimating carbon and energy fluxes over a variety of vegetative regimes across the U.S

Intercomparison of a ‘bottom-up’ and ‘top-down’ modeling paradigm for estimating carbon and energy fluxes over a variety of vegetative regimes across the U.S

Joint 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 systems

Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling and a satellite-model fusion approach

Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling, and a satellite–model fusion approach

Mapping leaf chlorophyll and leaf area index using inverse and forward canopy reflectance modeling and SPOT reflectance data

Modeling burned area in Europe with the Community Land Model

Monitoring water and carbon fluxes at fine spatial scales using HyspIRI-like measurements

On the relationship between nominal light use efficiency and leaf chlorophyll

Reconstructing Cloud Contaminated Pixels Using Spatiotemporal Covariance Functions and Multitemporal Hyperspectral Imagery

Regional simulation of ecosystem CO2 and water vapor exchange for agricultural land using NOAA AVHRR and Terra MODIS satellite data. Application to Zealand, Denmark

Remote sensing of LAI, chlorophyll and leaf nitrogen pools of crop- and grasslands in five European landscapes

Removal of clouds, dust and shadow pixels from hyperspectral imagery using a non-separable and stationary spatio-temporal covariance model

Retrieving Leaf Area Index From Landsat Using MODIS LAI Products and Field Measurements

Satellite retrievals of leaf chlorophyll and photosynthetic capacity for improved modeling of GPP

The Future of Earth Observation in Hydrology

The Future of Earth Observation in Hydrology

Thermal-based modeling of coupled carbon, water, and energy fluxes using nominal light use efficiencies constrained by leaf chlorophyll observations

Time series from hyperion to track productivity in pivot agriculture in saudi arabia

Towards a satellite based system for monitoring agricultural water use: A case study for Saudi Arabia

Using enhanced GRACE water storage data to improve drought detection by the U.S. and North American Drought Monitors

Using leaf chlorophyll to parameterize light-use-efficiency within a thermal-based carbon, water and energy exchange model

Utility of an Image-Based Canopy Reflectance Modeling Tool for Remote Estimation of LAI and Leaf Chlorophyll Content in Crop Systems

Utility of an image-based canopy reflectance modeling tool for remote estimation of LAI and leaf chlorophyll content at the field scale