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Improving crop residue cover estimation using spectral shape information from multispectral remote sensing

delete2026-05-01
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PRE
AI
Y
Yunchao Chen
Y
Yanling Ding *
X
Xiaofeng Li
X
Xingming Zheng
J
Jibo Yue
H
Huapeng Li
Y
Yuan Sun
Q
Qiaoyun Xie
DOI:10.1016/j.still.2026.107247delete
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Abstract

Abstract

En 中文
• Multispectral slopes and angles of Sentinel-2 MSI were devised to estimate maize CRC. • We proposed spectral shape indices to improve CRC retrieval accuracy. • Combinations of tillage indices and spectral shape indicators can enhance CRC retrieval accuracy. • Spectral shape indicators were less affected by soil background and crop moisture.
Keywords:
crop residue cover
spectral shape indices
Sentinel-2 MSI
tillage indices
remote sensing

Journal

Soil and Tillage Research cover
Soil and Tillage Research
IF:
6.8
Papers:
5.6K
Citations:
2.6W

Organization

H
Henan Agricultural University
Scholars:
1.4W
Papers: 6.0K
Citations: 9.3K
T
the university of western australia
Scholars:
561
Papers: 280
Citations: 0
N
Northeast Normal University
Scholars:
2.8K
Papers: 836
Citations: 1.4W
C
chinese academy of sciences
Scholars:
54.9W
Papers: 44.5W
Citations: 703
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