His primary areas of study are Remote sensing, Normalized Difference Vegetation Index, Vegetation, Moderate-resolution imaging spectroradiometer and Trend analysis. His work on Radiometry is typically connected to Photosynthetically active radiation as part of general Remote sensing study, connecting several disciplines of science. His Normalized Difference Vegetation Index research is multidisciplinary, incorporating perspectives in Arid, Climatology, Advanced very-high-resolution radiometer and Land degradation.
In his research, Limiting factor, Phenology and Sustainability is intimately related to Seasonality, which falls under the overarching field of Land degradation. His study in Vegetation is interdisciplinary in nature, drawing from both Deforestation, Aboveground carbon, Climate change and Forest ecology. His work deals with themes such as Biomass, Bidirectional reflectance distribution function, Cloud cover and Noon, which intersect with Moderate-resolution imaging spectroradiometer.
Rasmus Fensholt mainly investigates Remote sensing, Vegetation, Normalized Difference Vegetation Index, Ecosystem and Physical geography. His Remote sensing study combines topics from a wide range of disciplines, such as Meteorology, Geostationary orbit, Water content and Moderate-resolution imaging spectroradiometer. The Vegetation study combines topics in areas such as Land cover, Biomass, Productivity and Scale.
His Normalized Difference Vegetation Index research incorporates themes from Arid, Climatology, Advanced very-high-resolution radiometer and Land degradation. His Ecosystem study combines topics in areas such as Climate change, Atmospheric sciences and Phenology. His work in Climate change addresses issues such as Agroforestry, which are connected to fields such as Deforestation.
Rasmus Fensholt mostly deals with Ecosystem, Climate change, Physical geography, Atmospheric sciences and Arid. His Ecosystem research is multidisciplinary, relying on both Livelihood, Phenology and Precipitation. His Phenology study incorporates themes from Seasonality and Normalized Difference Vegetation Index.
His Climate change research includes elements of Agroforestry, Vegetation and Land management. His research in Vegetation intersects with topics in Inversion and Satellite data. His Physical geography research integrates issues from Land cover and Plateau.
Rasmus Fensholt mainly focuses on Ecosystem, Climate change, Agroforestry, Biodiversity and Arid. His Ecosystem research incorporates elements of Productivity, Tropical forest, Atmospheric sciences and Aboveground carbon. His work carried out in the field of Climate change brings together such families of science as Climatology, Deserts and xeric shrublands and Precipitation.
As a member of one scientific family, Rasmus Fensholt mostly works in the field of Agroforestry, focusing on Land management and, on occasion, Environmental degradation, Global warming, Vegetation and Forest management. His research integrates issues of Hectare, Canopy and Crown in his study of Arid. His Land cover study often links to related topics such as Remote sensing.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery
Gudina L. Feyisa;Henrik Meilby;Rasmus Fensholt;Simon R. Proud.
Remote Sensing of Environment (2014)
Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements
Rasmus Fensholt;Inge Sandholt;Michael Schultz Rasmussen.
Remote Sensing of Environment (2004)
Evaluation of Earth Observation based global long term vegetation trends — Comparing GIMMS and MODIS global NDVI time series
Rasmus Fensholt;Simon R. Proud.
Remote Sensing of Environment (2012)
China and India lead in greening of the world through land-use management
Chi Chen;Taejin Park;Xuhui Wang;Shilong Piao.
Nature Sustainability (2019)
Greenness in semi-arid areas across the globe 1981–2007 — an Earth Observing Satellite based analysis of trends and drivers
Rasmus Fensholt;Tobias Langanke;Kjeld Rasmussen;Anette Reenberg.
Remote Sensing of Environment (2012)
Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment
Rasmus Fensholt;Inge Sandholt.
Remote Sensing of Environment (2003)
A review of the application of optical and radar remote sensing data fusion to land use mapping and monitoring
Neha P. Joshi;Matthias Baumann;Andrea Ehammer;Rasmus Fensholt.
Remote Sensing (2016)
MODIS leaf area index products: from validation to algorithm improvement
Wenze Yang;Bin Tan;Dong Huang;M. Rautiainen.
IEEE Transactions on Geoscience and Remote Sensing (2006)
Evaluation of earth observation based long term vegetation trends - Intercomparing NDVI time series trend analysis consistency of Sahel from AVHRR GIMMS, Terra MODIS and SPOT VGT data
Rasmus Fensholt;Kjeld Rasmussen;Thomas Theis Nielsen;Cheikh Mbow.
Remote Sensing of Environment (2009)
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
Gilberto Pastorello;Carlo Trotta;Eleonora Canfora;Housen Chu.
Scientific Data (2020)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
University of Copenhagen
University of Copenhagen
University of Pretoria
Lund University
Goddard Space Flight Center
University of Bordeaux
University of Copenhagen
Institut Pierre-Simon Laplace
Federal University of Toulouse Midi-Pyrénées
Wageningen University & Research
INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Publications: 28
University of California, Los Angeles
University of Kentucky
IBM (United States)
University College Dublin
Queen's University
Chinese Academy of Sciences
RIKEN
Spanish National Research Council
University of Bremen
University of Surrey
Mayo Clinic
Cedars-Sinai Medical Center
Cleveland Clinic
Ludwig-Maximilians-Universität München
Illawarra Health and Medical Research Institute
School for Advanced Studies in the Social Sciences