Application Evaluation of BJ3 Satellite Data in Remote Sensing Monitoring of Pine Wilt Disease

doi:10.13466/j.cnki.lyzygl.2022.04.016

Abstract

Abstract:

BJ3N is an international leading high-resolution optical remote sensing satellite with independent intellectual property rights of China.The first two satellites were successfully launched in 2021.In order to better understand the application performance of BJ3N,this paper used the relevant image data of BJ3N in Shaoguan City,Guangdong Province to carry out remote sensing monitoring of pine wilt disease,and the application evaluation in image fusion,index calculation,information extraction and other aspects.The results showed that BJ3N data could greatly improve the difference between healthy pines and discolored pines through PANSHARP fusion method and NGRDI index calculation,and effectively enhance the identification effect of discolored pine;the precision rate of intelligently extracting discolored pine through deep learning was 95.8%.,and the recall rate was 88.3%,which met the work needs of remote sensing monitoring of pine wilt disease,and was conducive to the accurate monitoring and prevention of pine wilt disease.

Key words: BJ3N, pine wilt disease, remote sensing, evaluation

CLC Number:

S763
S771.8

QIN Lin, MENG Xianjin, ZHANG Shuihua, XUE Yadong, LIU Xinke, Xing Peng. Application Evaluation of BJ3 Satellite Data in Remote Sensing Monitoring of Pine Wilt Disease[J]. FOREST RESOURCES WANAGEMENT, 2022, (4): 126-133.

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影像	均值	标准差	信息熵	平均梯度	空间频率
PCA融合影像	102.7651	89.7196	5.3599	6.0688	15.3446
Pansharp融合影像	110.1021	90.9114	5.3631	7.8772	19.7200
HIS融合影像	123.0425	100.9785	5.0588	7.1121	18.9180

植被指数	均值	标准差	变异系数/%	相对极差
归一化植被指数(NDVI)	0.4094	0.2243	54.7875	4.8852
归一化绿红差异指数(NGRDI)	0.1430	0.0865	60.4895	13.9860
归一化差异红色边缘指数 (NDRE)	0.1531	0.1002	65.4474	13.0633

序号	TP/株	FP/株	FN/株	精确率/%	召回率/%
1	262	12	54	95.6	82.9
2	436	15	27	96.7	94.2
3	181	11	37	94.3	83.0
4	106	5	12	95.5	89.8
总计	985	43	130	95.8	88.3