Rasmus Houborg

Orcid: 0000-0002-3604-0747

According to our database1, Rasmus Houborg authored at least 24 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Impact of High-Cadence Earth Observation in Maize Crop Phenology Classification.
Remote. Sens., 2022

Generating Reliable Higher Level Hyperspectral Data Products: A Framework for Driving Upstream Processing Decisions.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Improving retrieval of crop biophysical properties in dryland areas using a multi-scale variational RTM inversion approach.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
Observations and Recommendations for Coordinated Calibration Activities of Government and Commercial Optical Satellite Systems.
Remote. Sens., 2020

2019
A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat.
Remote. Sens., 2019

Reconstructing Cloud Contaminated Pixels Using Spatiotemporal Covariance Functions and Multitemporal Hyperspectral Imagery.
Remote. Sens., 2019

2018
Daily Retrieval of NDVI and LAI at 3 m Resolution via the Fusion of CubeSat, Landsat, and MODIS Data.
Remote. Sens., 2018

CubeSats Enable High Spatiotemporal Retrievals of Crop-Water Use for Precision Agriculture.
Remote. Sens., 2018

2017
Sensitivity of Landsat 8 Surface Temperature Estimates to Atmospheric Profile Data: A Study Using MODTRAN in Dryland Irrigated Systems.
Remote. Sens., 2017

Time series from hyperion to track productivity in pivot agriculture in saudi arabia.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
High-Resolution NDVI from Planet's Constellation of Earth Observing Nano-Satellites: A New Data Source for Precision Agriculture.
Remote. Sens., 2016

A Spatio-Temporal Enhancement Method for medium resolution LAI (STEM-LAI).
Int. J. Appl. Earth Obs. Geoinformation, 2016

2015
Leaf chlorophyll constraint on model simulated gross primary productivity in agricultural systems.
Int. J. Appl. Earth Obs. Geoinformation, 2015

Advances in remote sensing of vegetation function and traits.
Int. J. Appl. Earth Obs. Geoinformation, 2015

Towards a satellite based system for monitoring agricultural water use: A case study for Saudi Arabia.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Downscaling of coarse resolution LAI products to achieve both high spatial and temporal resolution for regions of interest.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Retrieving Leaf Area Index From Landsat Using MODIS LAI Products and Field Measurements.
IEEE Geosci. Remote. Sens. Lett., 2014

2013
Integrating satellite retrieved leaf chlorophyll into land surface models for constraining simulations of water and carbon fluxes.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
On the relationship between nominal light use efficiency and leaf chlorophyll.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Constraining model simulations of GPP using satellite retrieved leaf chlorophyll.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Monitoring water and carbon fluxes at fine spatial scales using HyspIRI-like measurements.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2010
Using enhanced GRACE water storage data to improve drought detection by the U.S. and North American Drought Monitors.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Combining observations in the reflective solar and thermal domains for improved mapping of carbon, water and energy fluxes.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2008
Utility of an Image-Based Canopy Reflectance Modeling Tool for Remote Estimation of LAI and Leaf Chlorophyll Content in Crop Systems.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008


  Loading...