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6533b825fe1ef96bd1282a2d

RESEARCH PRODUCT

Empirical and physical estimation of Canopy Water Content from CHRIS/PROBA data

Jesus CernicharoAleixandre VergerFernando Camacho

subject

010504 meteorology & atmospheric sciencesMean squared errorScience0211 other engineering and technologies02 engineering and technologyCHRIS/PROBA01 natural sciencescanopy water content;model inversion;neural networks;look up tables;empirical up-scalingmodel inversionEmpirical up-scalingAtmospheric radiative transfer codeslook up tablesRadiative transferModel inversion021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingArtificial neural networkCanopy water contentQHyperspectral imagingInversion (meteorology)Sigmoid functionSpectral bandsempirical up-scaling15. Life on landneural networks[SDE]Environmental SciencesGeneral Earth and Planetary SciencesLook up tablescanopy water contentNeural networkscanopy water content; model inversion; neural networks; look up tables; empirical up-scaling; CHRIS/PROBA

description

20 páginas, 4 tablas, 7 figuras.

yearjournalcountryeditionlanguage
2013-10-21
http://hdl.handle.net/2072/409531
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FORTHEM European University Alliance is co-funded by the European Union. FIT FORTHEM has received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement No. 101017248. The content of this website represents the views of the author only and is his/her sole responsibility; it cannot be considered to reflect the views of the European Commission.

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