Deep Learning-Based Estimation of Crop Biophysical Parameters Using Multi-Source and Multi-Temporal Remote Sensing Observations

Deep Learning-Based Estimation of Crop Biophysical Parameters Using Multi-Source and Multi-Temporal Remote Sensing Observations

Remote sensing data are considered as one of the primary data sources for precise agriculture. Several studies have demonstrated the excellent capability of radar and optical imagery for crop mapping and biophysical parameter estimation. This paper aims at modeling the crop biophysical parameters, e...

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Bibliographic Details
Main Authors: Hazhir Bahrami, Saeid Homayouni, Abdolreza Safari, Sayeh Mirzaei, Masoud Mahdianpari, Omid Reisi-Gahrouei
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Agronomy
Subjects:
crop biomass
Leaf Area Index
Earth observations
Synthetic Aperture Radar
optical images
machine learning algorithms
Online Access:https://www.mdpi.com/2073-4395/11/7/1363

Internet

https://www.mdpi.com/2073-4395/11/7/1363

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