Synergistic Use of Multispectral Data and Crop Growth Modelling for Spatial and Temporal Evapotranspiration Estimations

The aim of this research is to explore the analysis of methods allowing a synergetic use of information exchange between Earth Observation (EO) data and growth models in order to provide high spatial and temporal resolution actual evapotranspiration predictions. An assimilation method based on the E...

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Detalhes bibliográficos

Principais autores:	Paolo Cosmo Silvestro, Raffaele Casa, Jan Hanuš, Benjamin Koetz, Uwe Rascher, Dirk Schuettemeyer, Bastian Siegmann, Drazen Skokovic, José Sobrino, Marin Tudoroiu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-05-01
coleção:	Remote Sensing
Assuntos:	ensemble Kalman filter (EnKF) Sentinel-2 simple algorithm for yield (SAFY) land surface temperature monitoring (LSTM) data assimilation (DA) leaf area index (LAI)
Acesso em linha:	https://www.mdpi.com/2072-4292/13/11/2138
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