Search results for "CWC"

showing 2 items of 2 documents

Global Estimation of Biophysical Variables from Google Earth Engine Platform

2018

This paper proposes a processing chain for the derivation of global Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fraction Vegetation Cover (FVC), and Canopy water content (CWC) maps from 15-years of MODIS data exploiting the capabilities of the Google Earth Engine (GEE) cloud platform. The retrieval chain is based on a hybrid method inverting the PROSAIL radiative transfer model (RTM) with Random forests (RF) regression. A major feature of this work is the implementation of a retrieval chain exploiting the GEE capabilities using global and climate data records (CDR) of both MODIS surface reflectance and LAI/FAPAR datasets allowing the global estim…

random forestsCWC010504 meteorology & atmospheric sciencesMean squared errorScience0211 other engineering and technologiesGoogle Earth Engine; LAI; FVC; FAPAR; CWC; plant traits; random forests; PROSAIL02 engineering and technologyLand cover01 natural sciencesAtmospheric radiative transfer codesRange (statistics)Parametrization (atmospheric modeling)FAPARLeaf area index021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingPROSAILQ15. Life on landFVCLAIRandom forestplant traits13. Climate actionPhotosynthetically active radiationGeneral Earth and Planetary SciencesEnvironmental scienceGoogle Earth EngineRemote Sensing; Volume 10; Issue 8; Pages: 1167
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A global Canopy Water Content product from AVHRR/Metop

2020

Abstract Spatially and temporally explicit canopy water content (CWC) data are important for monitoring vegetation status, and constitute essential information for studying ecosystem-climate interactions. Despite many efforts there is currently no operational CWC product available to users. In the context of the Satellite Application Facility for Land Surface Analysis (LSA-SAF), we have developed an algorithm to produce a global dataset of CWC based on data from the Advanced Very High Resolution Radiometer (AVHRR) sensor on board Meteorological–Operational (MetOp) satellites forming the EUMETSAT Polar System (EPS). CWC reflects the water conditions at the leaf level and information related …

Canopy010504 meteorology & atmospheric sciencesMean squared errorAdvanced very-high-resolution radiometerCanopy Water Content (CWC)0211 other engineering and technologiesGaussian Process Regression (GPR)FOS: Physical sciencesContext (language use)02 engineering and technologyAVHRR/MetOp01 natural sciencesComputers in Earth SciencesEngineering (miscellaneous)Water content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingVegetation15. Life on landAtomic and Molecular Physics and OpticsComputer Science ApplicationsPhysics - Atmospheric and Oceanic PhysicsMODIS13. Climate actionEUMETSAT Polar System (EPS)Atmospheric and Oceanic Physics (physics.ao-ph)Spatial ecologyEnvironmental scienceSatelliteSentinel-2
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