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Environmental Sciences

D-Index
34
Citations
6269
World Ranking
9398
National Ranking
3370

Overview

Rasmus Houborg is affiliated with South Dakota State University in the United States. Their research primarily spans the fields of Environmental Science and Agricultural and Biological Sciences, with a strong focus on topics related to remote sensing and agricultural applications.

Their work extensively covers areas within remote sensing including its application in agriculture, LiDAR technologies, and environmental monitoring. Specific topics addressed by their research include:

  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Leaf Properties and Growth Measurement
  • Spectroscopy and Chemometric Analyses
  • Smart Agriculture and AI
  • Urban Heat Island Mitigation
  • Atmospheric and Environmental Gas Dynamics

Houborg's scholarly output features publications in prominent venues such as:

  • Remote Sensing
  • Remote Sensing of Environment
  • Agricultural and Forest Meteorology
  • Science of Remote Sensing
  • SSRN Electronic Journal

Recent representative papers include:

  • A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery, 2021, Remote Sensing of Environment
  • Early season prediction of within-field crop yield variability by assimilating CubeSat data into a crop model, 2021, Agricultural and Forest Meteorology
  • Matching high resolution satellite data and flux tower footprints improves their agreement in photosynthesis estimates, 2022, Agricultural and Forest Meteorology
  • Timeliness in forest change monitoring: A new assessment framework demonstrated using Sentinel-1 and a continuous change detection algorithm, 2022, Remote Sensing of Environment
  • CubeSat constellations provide enhanced crop phenology and digital agricultural insights using daily leaf area index retrievals, 2022, Scientific Reports

In their collaborations, Houborg has frequently worked with various co-authors, including Trenton E. Franz, Matthew F. McCabe, Matteo G. Ziliani, B. Aragon, and Juwon Kong.

Their scientific contributions emphasize the integration of advanced remote sensing data with ecological and agricultural modeling to better understand environmental changes, crop yields, photosynthesis processes, and phenological patterns. These studies contribute to the broader understanding of environmental engineering and global change phenomena within ecological contexts.

Best Publications

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

    M.C. Anderson;J.M. Norman;W.P. Kustas;R. Houborg

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

    Rasmus Houborg;Matthew Rodell;Bailing Li;Rolf Reichle

  • The Future of Earth Observation in Hydrology.

    Matthew F. McCabe;Matthew Rodell;Douglas E. Alsdorf;Diego G. Miralles

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

    Rasmus Houborg;Henrik Soegaard;Eva Boegh

  • Response of Chlorophyll, Carotenoid and SPAD-502 Measurement to Salinity and Nutrient Stress in Wheat (Triticum aestivum L.)

    Syed Haleem Shah;Rasmus Houborg;Matthew F. McCabe

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

    Rasmus Houborg;Matthew F. McCabe

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

    Rasmus Houborg;Rasmus Houborg;Matthew F. McCabe

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

    Rasmus Houborg;Eva Boegh

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

    Rasmus Houborg;Martha Anderson;Craig Daughtry

  • A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery

    David P. Roy;Haiyan Huang;Rasmus Houborg;Vitor S. Martins

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

    Rasmus Houborg;Matthew F. McCabe

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

    Syed Haleem Shah;Yoseline Angel;Rasmus Houborg;Shawkat Ali

  • Advances in remote sensing of vegetation function and traits

    Rasmus Houborg;Rasmus Houborg;Rasmus Houborg;Joshua B. Fisher;Joshua B. Fisher;Joshua B. Fisher;Andrew K. Skidmore;Andrew K. Skidmore;Andrew K. Skidmore

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

    Rasmus Houborg;Alessandro Cescatti;Mirco Migliavacca;W. P. Kustas

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

    Rasmus Houborg;Matthew McCabe;Alessandro Cescatti;Feng Gao

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

    Rasmus Houborg;Matthew F. McCabe

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

    Matthew McCabe;B. Aragon;Rasmus Houborg;J. Mascaro

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

    Rasmus Moeller Houborg;Henrik Soegaard

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

    Bruno Aragon;Rasmus Houborg;Kevin Tu;Joshua B. Fisher

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

    Rasmus Houborg;Martha C. Anderson;C.S.T. Daughtry;W.P. Kustas

  • Advances in remote sensing of vegetation function and traits : special issue of International Journal of Applied Earth Observation and Geoinformation

    R. Houborg;J.B. Fisher;A.K. Skidmore

Frequent Co-Authors

Matthew F. McCabe
Matthew F. McCabe King Abdullah University of Science and Technology
Martha C. Anderson
Martha C. Anderson Agricultural Research Service
William P. Kustas
William P. Kustas Agricultural Research Service
Joshua B. Fisher
Joshua B. Fisher Chapman University
Matthew Rodell
Matthew Rodell Goddard Space Flight Center
Alessandro Cescatti
Alessandro Cescatti European Union
Mirco Migliavacca
Mirco Migliavacca Joint Research Centre
Pierre Cellier
Pierre Cellier University of Paris-Saclay
Mark R. Theobald
Mark R. Theobald Technical University of Madrid
Benjamin F. Zaitchik
Benjamin F. Zaitchik Johns Hopkins University

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