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...

Whakaahuatanga katoa

Ngā taipitopito rārangi puna kōrero

Ngā kaituhi matua:	Qinghua Xie, Jinfei Wang, Juan M. Lopez-Sanchez, Xing Peng, Chunhua Liao, Jiali Shang, Jianjun Zhu, Haiqiang Fu, J. David Ballester-Berman
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	MDPI AG 2021-01-01
Rangatū:	Remote Sensing
Ngā marau:	crop height RADARSAT-2 corn Synthetic Aperture Radar (SAR) PolSAR machine learning
Urunga tuihono:	https://www.mdpi.com/2072-4292/13/3/392
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!