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FOREST RESOURCES WANAGEMENT ›› 2022›› Issue (4): 126-133.doi: 10.13466/j.cnki.lyzygl.2022.04.016

• Technical Application • Previous Articles     Next Articles

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

QIN Lin1(), MENG Xianjin1, ZHANG Shuihua1, XUE Yadong1, LIU Xinke1(), Xing Peng2   

  1. 1. Guangdong Forestry Survey and Planning Institute,Guangzhou 510520,China
    2. Twenty First Century(Guangzhou)Aerospace Technology Co.Ltd.,Guangzhou 510500,China
  • Received:2022-05-12 Revised:2022-06-17 Online:2022-08-28 Published:2022-10-13
  • Contact: LIU Xinke E-mail:luckykql@263.ent;gdlj87035026@163.com

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: