Study on Remote Sensing Extractions of Burned Areas in Greater Khingan Mountains

doi:10.13466/j.cnki.lyzygl.2022.02.011

Abstract

Abstract:

Fire is an important influencing factor of forest ecosystem. The development of remote sensing technology provides a powerful technical means for forest fire monitoring and loss estimation. Based on Landsat images,the extraction abilities of seven common remote sensing indexes (NDVI,EVI,GEMI,BAI,NBR,dNBR,NDSWIR) for the burned area in 1987,2003 and 2015 of Greater Khingan Mountains were compared and analyzed,so as to select the best remote sensing index suitable for the extraction of burning areas in Greater Khingan Mountains. Through the comparative analysis of the remote sensing indexes and the separation index,the following results were obtained:(1) after the fire,the spectral characteristics of vegetation changed correspondingly. The remote sensing index based on near-infrared band can distinguish the burned area from the normal vegetation. (2) The dNBR was the best remote sensing index for extracting the burned area in Greater Khingan Mountains,followed by the NBR,BAI and NDSWIR,the NDVI and EVI were the worst. (3) The areas of three burned areas based on dNBR were 3 145.23,197 726.67 and 48.06 hm²,respectively.

Key words: Greater Khingan Mountains, burned area, landsat, remote sensing index, separation index

CLC Number:

TP79
S762

HAO Shuai, WANG Xing, ZHANG Qiuliang, WANG Bing, TIAN Yuan. Study on Remote Sensing Extractions of Burned Areas in Greater Khingan Mountains[J]. FOREST RESOURCES WANAGEMENT, 2022, 0(2): 75-81.

Figures/Tables 10

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传感器	年份	属性	景数
Landsat 5	1986	火前	1
	1987	火后	1
	2001	火前	1
	2003	火后	1
Landsat 8	2014	火前	1
Landsat 8	2015	火后	1

遥感指数	总体精度/%			Kappa系数
遥感指数	1987	2003	2015	1987	2003	2015
NDVI	73.73	85.88	86.04	0.48	0.72	0.43
EVI	69.58	81.26	81.87	0.41	0.62	0.35
GEMI	73.92	80.65	79.56	0.49	0.61	0.32
dNBR	90.54	95.19	94.62	0.81	0.90	0.68
BAI	89.30	92.96	90.44	0.78	0.86	0.47
NBR	91.87	93.09	90.88	0.84	0.86	0.52
NDSWIR	80.32	89.89	80.99	0.61	0.80	0.30