Crop Height Estimation of Corn from Multi-Year RADARSAT-2 Polarimetric Observables Using Machine Learning

Crop Height Estimation of Corn from Multi-Year RADARSAT-2 Polarimetric Observables Using Machine Learning

This study presents a demonstration of the applicability of machine learning techniques for the retrieval of crop height in corn fields using space-borne PolSAR (Polarimetric Synthetic Aperture Radar) data. Multi-year RADARSAT-2 C-band data acquired over agricultural areas in Canada, covering the wh...

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Bibliographic Details
Main Authors: Qinghua Xie, Jinfei Wang, Juan M. Lopez-Sanchez, Xing Peng, Chunhua Liao, Jiali Shang, Jianjun Zhu, Haiqiang Fu, J. David Ballester-Berman
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
crop height
RADARSAT-2
corn
Synthetic Aperture Radar (SAR)
PolSAR
machine learning
Online Access:https://www.mdpi.com/2072-4292/13/3/392

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