Chinese Agricultural Science Bulletin ›› 2020, Vol. 36 ›› Issue (20): 119-126.doi: 10.11924/j.issn.1000-6850.casb20190400050
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Received:
2019-04-26
Revised:
2019-06-27
Online:
2020-07-15
Published:
2020-07-20
Contact:
Zhao Gengxing
E-mail:zhaogx@sdau.edu.cn
CLC Number:
Xi Xue, Zhao Gengxing. Chlorophyll Content in Winter Wheat: Inversion and Monitoring Based on UAV multi-spectral Remote Sensing[J]. Chinese Agricultural Science Bulletin, 2020, 36(20): 119-126.
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URL: https://www.casb.org.cn/EN/10.11924/j.issn.1000-6850.casb20190400050
植被指数 | 计算公式 |
---|---|
归一化植被指数(NDVI) | (Rnir-Rred)/(Rnir+Rred) |
比值植被指数(RVI) | Rnir/Rred |
差值植被指数(DVI) | Rnir-Rred |
土壤调节植被指数(SAVI) | (Rnir-Rred)×(1+L)/(Rnir+Rred+L) |
绿波段比值植被指数(GRVI) | Rnir/Rgreen |
植被指数 | 计算公式 |
---|---|
归一化植被指数(NDVI) | (Rnir-Rred)/(Rnir+Rred) |
比值植被指数(RVI) | Rnir/Rred |
差值植被指数(DVI) | Rnir-Rred |
土壤调节植被指数(SAVI) | (Rnir-Rred)×(1+L)/(Rnir+Rred+L) |
绿波段比值植被指数(GRVI) | Rnir/Rgreen |
参数 | 预测变量 | 预测模型 | R2 | σ |
---|---|---|---|---|
原始波段 | b3 | Y=-34.558*b3+68.158 | 0.701 | 2.3658 |
b3,b1 | Y=-29.646*b3-32.195*b1+71.382 | 0.741 | 2.2086 | |
b3,b1,b2 | Y=-27.462*b3-28.326* b1-14.355*b2+72.011 | 0.759 | 2.139 | |
b3,b1,b2,b4 | Y=-25.405*b3-26.512*b1-12.623*b2+3.891*b4+68.712 | 0.772 | 2.086 | |
波段倒数对数 | a3 | Y=32.827*a3+40.828 | 0.684 | 2.4308 |
a3,a1 | Y=27.713*a3+14.008*a1+31.727 | 0.733 | 2.2418 | |
a3,a1,a4 | Y=23.944*a3+12.622*a1+5.442*a4+32.684 | 0.749 | 2.1946 | |
a3,a1,a4,a2 | Y=22.712*a3+11.515*a1+4.945*a4+3.124*a2+31.567 | 0.757 | 2.1638 | |
植被指数 | d1 | Y=15.745*d3+46.1 | 0.432 | 3.2575 |
d1,d5 | Y=9.194*d1+1.153*d5+45.763 | 0.479 | 3.1317 | |
d1,d5,d4 | Y=39.367*d1+2.466*d5-39.282*d4+43.214 | 0.529 | 2.9884 |
参数 | 预测变量 | 预测模型 | R2 | σ |
---|---|---|---|---|
原始波段 | b3 | Y=-34.558*b3+68.158 | 0.701 | 2.3658 |
b3,b1 | Y=-29.646*b3-32.195*b1+71.382 | 0.741 | 2.2086 | |
b3,b1,b2 | Y=-27.462*b3-28.326* b1-14.355*b2+72.011 | 0.759 | 2.139 | |
b3,b1,b2,b4 | Y=-25.405*b3-26.512*b1-12.623*b2+3.891*b4+68.712 | 0.772 | 2.086 | |
波段倒数对数 | a3 | Y=32.827*a3+40.828 | 0.684 | 2.4308 |
a3,a1 | Y=27.713*a3+14.008*a1+31.727 | 0.733 | 2.2418 | |
a3,a1,a4 | Y=23.944*a3+12.622*a1+5.442*a4+32.684 | 0.749 | 2.1946 | |
a3,a1,a4,a2 | Y=22.712*a3+11.515*a1+4.945*a4+3.124*a2+31.567 | 0.757 | 2.1638 | |
植被指数 | d1 | Y=15.745*d3+46.1 | 0.432 | 3.2575 |
d1,d5 | Y=9.194*d1+1.153*d5+45.763 | 0.479 | 3.1317 | |
d1,d5,d4 | Y=39.367*d1+2.466*d5-39.282*d4+43.214 | 0.529 | 2.9884 |
模型 | 预测模型 | R2 | RMSE |
---|---|---|---|
OB | Y=-25.405*b3-26.512*b1-12.623*b2+3.891*b4+68.712 | 0.8119 | 2.0726 |
BRL | Y=22.712*a3+11.515*a1+4.945*a4+3.124*a2+31.567 | 0.8083 | 2.0859 |
VI | Y=39.367*d1+2.466*d5-39.282*d4+43.214 | 0.6500 | 3.9089 |
模型 | 预测模型 | R2 | RMSE |
---|---|---|---|
OB | Y=-25.405*b3-26.512*b1-12.623*b2+3.891*b4+68.712 | 0.8119 | 2.0726 |
BRL | Y=22.712*a3+11.515*a1+4.945*a4+3.124*a2+31.567 | 0.8083 | 2.0859 |
VI | Y=39.367*d1+2.466*d5-39.282*d4+43.214 | 0.6500 | 3.9089 |
生育期 | 模型 | 拟合方程 | R2 |
---|---|---|---|
返青期 | OB | y=0.3826x+36.535 | 0.6279 |
BRL | y=1.0091x-0.5407 | 0.6519 | |
VI | y=1.149x-8.8155 | 0.4417 | |
拔节期 | OB | y=0.4787x+30.606 | 0.6043 |
BRL | y=1.348x-20.406 | 0.7086 | |
VI | y=2.0167x-59.618 | 0.5495 | |
孕穗期 | OB | y=0.4876x+29.508 | 0.5138 |
BRL | y=0.9882x+0.6817 | 0.5956 | |
VI | y=1.206x-11.86 | 0.3961 | |
灌浆期 | OB | y=0.2888x+24.508 | 0.6378 |
BRL | y=0.332x+23.02 | 0.6924 | |
VI | y=0.2961x+24.257 | 0.4470 |
生育期 | 模型 | 拟合方程 | R2 |
---|---|---|---|
返青期 | OB | y=0.3826x+36.535 | 0.6279 |
BRL | y=1.0091x-0.5407 | 0.6519 | |
VI | y=1.149x-8.8155 | 0.4417 | |
拔节期 | OB | y=0.4787x+30.606 | 0.6043 |
BRL | y=1.348x-20.406 | 0.7086 | |
VI | y=2.0167x-59.618 | 0.5495 | |
孕穗期 | OB | y=0.4876x+29.508 | 0.5138 |
BRL | y=0.9882x+0.6817 | 0.5956 | |
VI | y=1.206x-11.86 | 0.3961 | |
灌浆期 | OB | y=0.2888x+24.508 | 0.6378 |
BRL | y=0.332x+23.02 | 0.6924 | |
VI | y=0.2961x+24.257 | 0.4470 |
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