Detection of Discolored Trees Caused by Pine Wilt Disease Based on Vegetation Index Method Using Terrestrial Ecosystem Carbon Inventory Satellite Data

doi:10.13466/j.cnki.lyzygl.2023.04.015

Abstract

Abstract:

Pine wilt disease(PWD)is a forestry pest epidemic that poses a major threat to the survival ofpine trees.High-resolution satellite remote sensing is an effective approach for identifying PWD-infected pine trees.The Terrestrial Ecosystem Carbon Inventory Satellite(Goumang Satellite),which was launched on August 4,2022,has a four-band camera with a spatial resolution of more than 2m.The purpose of this paper is to investigate the vegetation index(VI)threshold approach for demonstrating PWD detection using Goumang Satellite multispectral data.Based on the multispectral characteristics of PWD discolored pine trees,an identification strategy based on two biomass-related and pigment-related VIs is proposed and a pine wilt disease index(PWDI)is designed.A test of PWD identification was conducted in Qixia City,Shandong Province.The results demonstrated that the double-VIs identification method outperformed the single-VI strategy,with the combination of PWDI and NDVI having the best PWD recognition capacity,with an overall accuracy of 84.5%,followed by the combinations of NWI-NDVI and NGRDI-NDVI.PWDI outperformed the other five examined VIs in terms of identification performance while using a single-VI method.This research demonstrates that the Goumang Satellite has a high potential for rapid and reliable detection of PWD discolored pine trees,and that the suggested double-VIs identification technique and the new PWDI can serve as a model for other comparable satellites used for PWD monitoring.

Key words: pine wilt disease, remote sensing, Terrestrial Ecosystem Carbon Inventory Satellite, Goumang, vegetation index

CLC Number:

S763
S771.8

JIAO Quanjun, ZHENG Yanfeng, HUANG Wenjiang, ZHANG Bing, ZHANG Heyi, SHI Yimeng, WU Fayun, FU Anmin. Detection of Discolored Trees Caused by Pine Wilt Disease Based on Vegetation Index Method Using Terrestrial Ecosystem Carbon Inventory Satellite Data[J]. FOREST RESOURCES WANAGEMENT, 2023, 0(4): 123-131.

Figures/Tables 9

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波段号	波段名称	中心波长/nm	波长范围/nm
B1	蓝	485	450~520
B2	绿	555	520~590
B3	红	660	630~690
B4	近红外	830	770~890

指数名称	缩写	计算公式	参考文献
Normalized difference vegetation index	NDVI	NDVI=(B4-B3)/(B4+B3)	[20]
Triangular greenness index	TGI	TGI=-0.5×((660-485)×(B3-B2)-(660-555)×(B3-B1))	[24]
Normalized green-red difference index	NGRDI	NGRDI=(B2-B3)/(B2+B3)	[25]
Green chlorophyll index	CI_green	CI_green=B4/B2-1	[26]
Normalized wilt index	NWI	NWI=-NGRDI×(NDVI+NGRDI)	[27]
Pine wilt disease index	PWDI	PWDI=-NGRDI×NDVI/B2	本研究

色素相关植被指数	单一植被指数策略			与NDVI指数组合策略
色素相关植被指数	召回率	准确率	总体精度	召回率	准确率	总体精度
H	83.6	62.3	71.4	83.6	70.5	76.5
TGI	77.6	66.5	71.6	77.6	74.4	76.0
NGRDI	85.5	62.3	72.1	85.5	69.9	76.9
CI_green	87.5	8.0	14.7	87.5	7.8	14.4
NWI	84.9	69.5	76.4	84.9	72.8	78.4
PWDI	81.6	85.8	83.6	81.6	87.6	84.5