Sino–EU Earth Observation Data to Support the Monitoring and Management of Agricultural Resources

Novel approaches and algorithms to estimate crop physiological processes from Earth Observation (EO) data are essential to develop more sustainable management practices in agricultural systems. Within this context, this paper presents the results of different research activities carried out within t...

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Bibliografiske detaljer

Principais autores:	Stefano Pignatti, Raffaele Casa, Giovanni Laneve, Zhenhai Li, Linyi Liu, Pablo Marzialetti, Nada Mzid, Simone Pascucci, Paolo Cosmo Silvestro, Massimo Tolomio, Deepak Upreti, Hao Yang, Guijun Yang, Wenjiang Huang
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2021-07-01
Serier:	Remote Sensing
Fag:	multispectral data analysis satellite data assimilation crop variables estimation modeling crop pest and disease
Online adgang:	https://www.mdpi.com/2072-4292/13/15/2889
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