Spectral and Index Analysis for Burned Areas Identification Using GF-6 WFV Data

Qian LIU; Xian-lin QIN; Xin-yu HU; Zeng-yuan LI

doi:10.3964/j.issn.1000-0593(2021)08-2536-07

Spectroscopy and Spectral Analysis, Volume. 41, Issue 8, 2536(2021)

Spectral and Index Analysis for Burned Areas Identification Using GF-6 WFV Data

Qian LIU^*, Xian-lin QIN^*;, Xin-yu HU, and Zeng-yuan LI

Research Institute of Forest Resource Information Technique, Chinese Academy of Forestry, Key Laboratory of Forestry Remote Sensing and Information System, NFGA, Beijing 100091, China

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Figures & Tables(10)

Fig. 1. Study area
(a): Burned area of Alongshan Forestry Bureau; (b): Burned area of Mordaga Forestry Bureau; (c): Burned area of Xiushan Forest Farm of Jinhe Forestry Bureau

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Fig. 2. Spectral curves of typical categories extracted by GF-6 WFV

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Fig. 3. Means and standard deviations of land surface reflectance of burned areas and unburned vegetation in different bands

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Fig. 4. Separability value of different indices between burned areas and the seven categories

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Table 1. Forest fire information of the study area

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Table 1. Forest fire information of the study area

编号	研究区	火灾发生日期	火场中心经纬度	过火面积/hm²
1	阿龙山林业局火烧迹地	2019年6月19日	121°17'24″E , 51°53'24″N	39
2	莫尔道嘎林业局火烧迹地	2019年6月19日	121°16'57″E , 51°47'51″N	182
3	金河林业局秀山林场火烧迹地	2019年6月19日	122°20'38″E , 51°31'10″N	1 883

Table 2. General parameters of GF-6 WFV data

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Table 2. General parameters of GF-6 WFV data

波段	波段范围/μm
蓝波段(B1)	0.45~0.52
绿波段(B2)	0.52~0.59
红波段(B3)	0.63~0.69
近红外波段(B4)	0.77~0.89
红边1波段(B5)	0.69~0.73
红边2波段(B6)	0.73~0.77
紫波段(B7)	0.40~0.45
黄波段(B8)	0.59~0.63

Table 3. The formulas of indices

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Table 3. The formulas of indices

名称	缩写	公式	使用的GF-6 WFV波段
归一化植被指数	NDVI	NDVI= $\frac{ρ_{NIR} - ρ_{RED}}{ρ_{NIR} + ρ_{RED}}$	B3, B4
全球环境监测指数	GEMI	GEMI=η(1-0.25η)- $\frac{ρ_{RED} - 0.125}{1 - ρ_{RED}}$ η= $\frac{2 (ρ_{NIR}^{2} - ρ_{RED}^{2}) + 1.5 ρ_{NIR} + 0.5 ρ_{RED}}{ρ_{RED} + ρ_{NIR} + 0.5}$	B3, B4
增强植被指数	EVI	EVI= $\frac{2.5 (ρ_{NIR} - ρ_{RED})}{ρ_{NIR} + 6 ρ_{RED} - 7.5 ρ_{BLUE} + 1}$	B1, B3, B4
燃烧面积指数	BAI	BAI= $\frac{1}{(ρ_{NIR} {- 0.06)}^{2} + (ρ_{RED} {- 0.1)}^{2}}$	B3, B4
土壤调节植被指数	SAVI	SAVI= $\frac{(1 + L) (ρ_{NIR} - ρ_{RED})}{ρ_{NIR} + ρ_{RED} + L}$ , L=0.5	B3, B4
改进型土壤调节植被指数	MSAVI	MSAVI= $\frac{2 ρ_{NIR} + 1 - \sqrt[]{(2 ρ_{NIR} {+ 1)}^{2} - 8 (ρ_{NIR} - ρ_{RED})}}{2}$	B3, B4
归一化差异水体指数	NDWI	NDWI= $\frac{ρ_{GREEN} - ρ_{NIR}}{ρ_{GREEN} + ρ_{NIR}}$	B2, B4
地面叶绿素指数	MTCI	MTCI= $\frac{ρ_{RE 2} - ρ_{RE 1}}{ρ_{RE 1} - ρ_{RED}}$	B3, B5, B6
归一化差值红边指数	NDRE1	NDRE1= $\frac{ρ_{RE 2} - ρ_{RE 1}}{ρ_{RE 2} + ρ_{RE 1}}$	B5, B6
改进的叶绿素吸收指数	MCARI2	MCARI2=[(ρ_RE2-ρ_RE1)-0.2(ρ_RE2-ρ_GREEN)] $\frac{ρ_{RE 2}}{ρ_{RE 1}}$	B2, B5, B6
改进的归一化土壤指数	MNDSI	MNDSI= $\frac{ρ_{GREEN} - ρ_{YELLOW}}{ρ_{GREEN} + ρ_{YELLOW}}$	B2, B8

Table 4. Separability value of GF-6 WFV different bands between burned areas and vegetation in pro-fire
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Table 4. Separability value of GF-6 WFV different bands between burned areas and vegetation in pro-fire
波段区分度
B1 0.25
B2 0.51
B3 0.16
B4 1.68
B5 1.09
B6 1.80
B8 0.18

Table 5. Separability value of GF-6 WFV different indices between burned areas and vegetation in pro-fire
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Table 5. Separability value of GF-6 WFV different indices between burned areas and vegetation in pro-fire
光谱指数区分度改进指数区分度
NDVI 3.11 MTCI 0.06
GEMI 2.08 NDRE1 1.33
EVI 2.71 MCARI2 2.19
BAI 2.05 MNDSI 0.83
SAVI 2.62
MSAVI 2.53
NDWI 2.57

Table 6. Accuracy of burned area identification of Xiushan Forest Farm of Jinhe Forestry Bureau using different indices

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Table 6. Accuracy of burned area identification of Xiushan Forest Farm of Jinhe Forestry Bureau using different indices

指数	Kappa系数	指数差值	Kappa系数
NDVI	0.70	dNDVI	0.89
GEMI	0.82	dGEMI	0.92
EVI	0.85	dEVI	0.93
BAI	0.82	dBAI	0.87
SAVI	0.85	dSAVI	0.93
MSAVI	0.85	dMSAVI	0.93
NDWI	0.57	dNDWI	0.80
MTCI	0.52	dMTCI	0.52
NDRE1	0.23	dNDRE1	0.61
MCARI2	0.74	dMCARI2	0.82
MNDSI	0.51	dMNDSI	0.61

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Qian LIU, Xian-lin QIN, Xin-yu HU, Zeng-yuan LI. Spectral and Index Analysis for Burned Areas Identification Using GF-6 WFV Data[J]. Spectroscopy and Spectral Analysis, 2021, 41(8): 2536

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Paper Information

Category: Research Articles

Received: Dec. 15, 2020

Accepted: --

Published Online: Sep. 8, 2021

The Author Email: LIU Qian (olivia250864095@163.com)

DOI:10.3964/j.issn.1000-0593(2021)08-2536-07

Topics

laser devices and laser physics

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laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Forest fire information of the study area

Table 1. Forest fire information of the study area

Table 2. General parameters of GF-6 WFV data

Table 2. General parameters of GF-6 WFV data

Table 3. The formulas of indices

Table 3. The formulas of indices

Table 4. Separability value of GF-6 WFV different bands between burned areas and vegetation in pro-fire

Table 4. Separability value of GF-6 WFV different bands between burned areas and vegetation in pro-fire

Table 5. Separability value of GF-6 WFV different indices between burned areas and vegetation in pro-fire

Table 5. Separability value of GF-6 WFV different indices between burned areas and vegetation in pro-fire

Table 6. Accuracy of burned area identification of Xiushan Forest Farm of Jinhe Forestry Bureau using different indices

Table 6. Accuracy of burned area identification of Xiushan Forest Farm of Jinhe Forestry Bureau using different indices