A Comparison of Hybrid Machine Learning Algorithms for the Retrieval of Wheat Biophysical Variables from Sentinel-2

A Comparison of Hybrid Machine Learning Algorithms for the Retrieval of Wheat Biophysical Variables from Sentinel-2

This study focuses on the comparison of hybrid methods of estimation of biophysical variables such as leaf area index (LAI), leaf chlorophyll content (LCC), fraction of absorbed photosynthetically active radiation (FAPAR), fraction of vegetation cover (FVC), and canopy chlorophyll content (CCC) from...

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Bibliographic Details
Main Authors: Deepak Upreti, Wenjiang Huang, Weiping Kong, Simone Pascucci, Stefano Pignatti, Xianfeng Zhou, Huichun Ye, Raffaele Casa
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Remote Sensing
Subjects:
LAI
LCC
FAPAR
FVC
CCC
PROSAIL
GPR
machine learning
active learning
Online Access:https://www.mdpi.com/2072-4292/11/5/481

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