Climate Data Records of Vegetation Variables from Geostationary SEVIRI/MSG Data: Products, Algorithms and Applications

Climate Data Records of Vegetation Variables from Geostationary SEVIRI/MSG Data: Products, Algorithms and Applications

The scientific community requires long-term data records with well-characterized uncertainty and suitable for modeling terrestrial ecosystems and energy cycles at regional and global scales. This paper presents the methodology currently developed in EUMETSAT within its Satellite Application Facility...

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Bibliographic Details
Main Authors: Francisco Javier García-Haro, Fernando Camacho, Beatriz Martínez, Manuel Campos-Taberner, Beatriz Fuster, Jorge Sánchez-Zapero, María Amparo Gilabert
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Remote Sensing
Subjects:
meteosat second generation (MSG)
biophysical parameters (LAI
FVC
FAPAR)
SEVIRI
climate data records (CDR)
stochastic spectral mixture model (SSMM)
Satellite Application Facility for Land Surface Analysis (LSA SAF)
Online Access:https://www.mdpi.com/2072-4292/11/18/2103

Internet

https://www.mdpi.com/2072-4292/11/18/2103

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