Paper Info
Title
Retrieving daily evapotranspiration from the combination of geostationary and polar-orbit satellite data
Abstract
Near-real time estimates of evapotranspiration (ET) are generated every 30 minutes over the whole field of view of the Meteosat Second Generation (MSG) satellite. It is a product that has been designed and is operated in the framework of the Land Surface Analysis Satellite Application Facility (LSA-SAF). Its temporal resolution and continental coverage is unprecedented. Nevertheless, the spatial resolution of the LSA-SAF ET might be too coarse for ecosystem monitoring; certainly in fragmented landscapes. This study evaluated the feasibility of generating ET estimates at moderate spatial resolution (~1 km) by incorporating vegetation data and using the spatial grid from a polar-orbit satellite platform in the estimation process. We used SPOT-Végétation data and followed two methodological paths. The first method was based on including SPOT-Vgt data in the forcing of the LSA-SAF ET algorithm. The second method consisted in deriving an empirical relationship between daily ET and major ET covariates (radiation, vegetation, surface temperature and soil moisture). The estimates were contrasted against measurements at flux towers in different biomes across Europe. The resulting ET estimates exhibited general good correlation with the validation data and allowed the detection of periods of the growing season where improvement is needed. The performance of the first method was better in most of the cases.
Year
DOI
Venue
2015
10.1109/Multi-Temp.2015.7245797
2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp)
Keywords
Field
DocType
daily evapotranspiration retrieval,geostationary data,polar-orbit satellite data,evapotranspiration estimation,Meteosat Second Generation satellite,MSG satellite,land surface analysis satellite application facility,ecosystem monitoring,spatial grid,polar-orbit satellite platform,SPOT-vegetation data,LSA-SAF ET algorithm,surface temperature,soil moisture,flux tower,Europe,time 30 min
Meteorology,Vegetation,Satellite,Polar orbit,Remote sensing,Forcing (mathematics),Empirical relationship,Temporal resolution,Geography,Evapotranspiration,Geostationary orbit
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
jose miguel barrios100.68
Nicolas Ghilain262.50
Alirio Arboleda343.08
Françoise Gellens-Meulenberghs411.81