Temporal and spatial monitoring of forest pest and disease disasters based on Landsat 8 satellite time-series images

ZHANG Haoyan; LI Shiming; QI Zhiyong; LIU Qing; PANG Yong; LI Zengyuan

doi:10.11834/jrs.20244120

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Temporal and spatial monitoring of forest pest and disease disasters based on Landsat 8 satellite time-series images
“Based on the annual time-series data of Landsat 8 satellite, the research progress in the field of forest pest and disease monitoring is introduced. The research team has established a parameter adjusted LandTrendr algorithm system, which accurately extracts the spatiotemporal and spectral information of forest disturbance occurrence, providing a solution for the identification of regional forest pest and disease disasters and laying the foundation for the protection of forest ecosystems.”
- role：First author第一作者
- Affiliation：
  Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
  Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China
- Email：senlinmu@caf.ac.cn
- Introduction：张浩芫，研究方向为林业遥感。E-mail： senlinmu@caf.ac.cn
ZHANG Haoyan
* ,
- role：Corresponding author通信作者
- Affiliation：
  Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
  Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China
- Email：lism@ifrit.ac.cn
- Introduction：李世明，研究方向为林业遥感。E-mail： lism@ifrit.ac.cn
LI Shiming
* ,
- Affiliation：
  Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
  Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China
QI Zhiyong
* ,
- Affiliation：
  Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
  Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China
LIU Qing
* ,
- Affiliation：
  Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
  Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China
PANG Yong
* ,
- Affiliation：
  Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
  Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China
LI Zengyuan
*
Vol. 29, Issue 9, Pages: 2748-2764(2025)
DOI：10.11834/jrs.20244120
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Temporal and spatial monitoring of forest pest and disease disasters based on Landsat 8 satellite time-series images

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Temporal and spatial monitoring of forest pest and disease disasters based on Landsat 8 satellite time-series images

ZHANG Haoyan

LI Shiming

QI Zhiyong

LIU Qing

PANG Yong

LI Zengyuan

DOI：10.11834/jrs.20244120

AI Introduction

Full Text(HTML)

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