Mapping the Corn Residue-Covered Types Using Multi-Scale Feature Fusion and Supervised Learning Method by Chinese GF-2 PMS Image

Mapping the Corn Residue-Covered Types Using Multi-Scale Feature Fusion and Supervised Learning Method by Chinese GF-2 PMS Image

The management of crop residue covering is a vital part of conservation tillage, which protects black soil by reducing soil erosion and increasing soil organic carbon. Accurate and rapid classification of corn residue-covered types is significant for monitoring crop residue management. The remote se...

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Bibliographic Details
Main Authors: Wancheng Tao, Yi Dong, Wei Su, Jiayu Li, Fu Xuan, Jianxi Huang, Jianyu Yang, Xuecao Li, Yelu Zeng, Baoguo Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Plant Science
Subjects:
crop residue covering
multi-scale image features
machine learning
GF-2 PMS image
high spatial resolution remote sensing
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.901042/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2022.901042/full

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