An Interannual Transfer Learning Approach for Crop Classification in the Hetao Irrigation District, China

An Interannual Transfer Learning Approach for Crop Classification in the Hetao Irrigation District, China

Crop type classification is critical for crop production estimation and optimal water allocation. Crop type data are challenging to generate if crop reference data are lacking, especially for target years with reference data missed in collection. Is it possible to transfer a trained crop type classi...

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Bibliographic Details
Main Authors: Yueran Hu, Hongwei Zeng, Fuyou Tian, Miao Zhang, Bingfang Wu, Sven Gilliams, Sen Li, Yuanchao Li, Yuming Lu, Honghai Yang
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
crop type classification
random forest classifier
interannual transfer
GPS
video and GIS (GVG)
Google Earth Engine
Online Access:https://www.mdpi.com/2072-4292/14/5/1208

Internet

https://www.mdpi.com/2072-4292/14/5/1208

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