Corn Residue Covered Area Mapping with a Deep Learning Method Using Chinese GF-1 B/D High Resolution Remote Sensing Images

Corn Residue Covered Area Mapping with a Deep Learning Method Using Chinese GF-1 B/D High Resolution Remote Sensing Images

Black soil is one of the most productive soils with high organic matter content. Crop residue covering is important for protecting black soil from alleviating soil erosion and increasing soil organic carbon. Mapping crop residue covered areas accurately using remote sensing images can monitor the pr...

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Bibliographic Details
Main Authors: Wancheng Tao, Zixuan Xie, Ying Zhang, Jiayu Li, Fu Xuan, Jianxi Huang, Xuecao Li, Wei Su, Dongqin Yin
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
corn residue covered area
GF-1 B/D high resolution remote sensing images
deep semantic segmentation network
Online Access:https://www.mdpi.com/2072-4292/13/15/2903

Internet

https://www.mdpi.com/2072-4292/13/15/2903

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