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

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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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
multispectral data analysis
satellite data assimilation
crop variables estimation
modeling
crop pest and disease
Online Access:https://www.mdpi.com/2072-4292/13/15/2889

Internet

https://www.mdpi.com/2072-4292/13/15/2889

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