Smart Agriculture ›› 2024, Vol. 6 ›› Issue (5): 61-73.doi: 10.12133/j.smartag.SA202405011
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LIU Liqi1, WEI Guangyuan2, ZHOU Ping1()
Received:
2024-05-17
Online:
2024-09-30
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About author:
LIU Liqi, E-mail: 1174914355@qq.com;
WEI Guangyuan, E-mail: weiguangyuan@yurenlawyer.com
corresponding author:
CLC Number:
LIU Liqi, WEI Guangyuan, ZHOU Ping. Prediction and Mapping of Soil Total Nitrogen Using GF-5 Image Based on Machine Learning Optimization Modeling[J]. Smart Agriculture, 2024, 6(5): 61-73.
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URL: https://www.smartag.net.cn/EN/10.12133/j.smartag.SA202405011
Table.3
Correlation coefficient of TN content in soil and spectral characteristic value
光谱指标 | 主要特征波段/nm | 最大相关性波段/nm | 最大相关系数 |
---|---|---|---|
一阶微分(FD) | 437.6—819.2、1 160—1 790等 | 1 760 | 0.61 |
倒数一阶微分(FDR) | 524.8—1 805、1 955—2 120、2 270—2 420 | 1 760、1 775 | -0.68 |
多元散射校正(MSC) | 437.6—638.2、666.7—1 475、1 550—2 420 | 1 145、1 160 | -0.78 |
连续统去除(CR) | 447.2—980、1 715—1 805、2 225—2 360等 | 600—619.1、647.7—676.3 | -0.62 |
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