Qin Xianlin

Prof.  Qin Xianlin

Organization: Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry

Research category: Forest Management

Research field: Information technology for forest and grass disasters monitoring and management

E-mail: qxl@ifrit.ac.cn

Main work

Prof. Qin Xianlin mainly focuses on the application technology of forest vegetation cover change and forest fire satellite remote sensing early warning monitoring, including forest vegetation type identification and change detection, forest fuel types identification, combustible humidity and greenness estimation, forest fire monitoring, fire risk prediction and other   application technology fields.

Key research projects

  • National Key R&D Program Project, Digital Precision Monitoring and Early Warning Platform and Application for Major Diseases and Pests in Forestry and Grassland Industry, 2022.9-2025.12.

  • Sub project of National Key R&D Program, Identification Methods of Lightning and Initial Mountain Fires using Multi-source Satellite Remote Sensing Data, 2023.12-2028.11.

  • Major Special Subject of the State Administration of Science, High Score Forest Disaster Monitoring Application Demonstration Subsystem (phase II), 2019.6-2022.2.

  • Civil Aerospace Technology Pre-research Project of National Defense Science, Forest Disturbance Information Satellite Remote Sensing Monitoring and Evaluation Technology Based on Data Mining, 2019.6-2022.2.

  • Major Special Subject of the State Administration of Science, High Score Forest Disaster Monitoring Application Demonstration Subsystem (phase I),2013.5-2017.12.

  • Civil Aerospace Technology Pre-research Project of National Defense Science, Demonstration of Integrated Forest Fire Monitoring Technology and Application Based on Multi-source Spatial Data, 2013.1-2015.12.

  • ESA-MOST Dragon Cooperation Project, Fire Radiative Energy Estimation from Sparse Satellite Observations and its Relationship with Fire Emissions, Biomass Burned and Fire Severity in China, 2012.6-2016.6.

  • 863 Key Topics, Remote Sensing Monitoring and Evaluation of Forest Resources and Forest Fires in Southeast Asia, 2008.12-2010.12.

Awards & achievements

  • No.6. Second prize of science and technology progress award of the Ministry of science and technology, 2018.12,

  • No.7. Major scientific and technological achievement award of China Academy of Forestry, 2017.12,

  • No.7. First prize of Geographic Information Technology Progress Award, 2017.9.

Published articles & books

  • Liu Qian, Qin Xianlin*, Hu xinyu, and Li Zengyuan. 2021. Spectral and index analysis for burned areas identification using GF-6 WFV data. Spectroscopy and spectral analysis (Chinese), 4(8):2536-2542.

  • Qin Xianlin, Li Xiaotong, Liu Shuchao, et al. 2020. Forest fire early warning and monitoring techniques using satellite remote sensing in China. Journal of Remote Sensing (Chinese), 24(5): 511-520.

  • Liu Shuchao, Li Xiaotong, Qin Xianlin*, et al. 2020. Adaptive threshold method for active fire identification based on GF-4 PMI data. Journal of Remote Sensing (Chinese), 24(3):213-222.

  • Qin Xianlin, Yan Hou, Zhang Zihui, and Li Zengyuan. 2014. Characterizing vegetative biomass burning in China using MODIS data. International Journal of Wildland Fire, 23(1):69–77.

  • Qin Xianlin, Yang Fei, Zu Xiaofeng, et al. 2014. Quantitative extraction method of fire line profile parameters from satellite remote sensing. Journal of infrared and millimeter wave, 33(6):642-648.

  • Qin Xianlin, Yang Fei, Zu Xiaofeng, et al. 2013. Analysis of sensitive spectral bands for burning status detection using hyper-spectral images of Tiangong-01. Spectroscopy and spectral analysis (Chinese), 33(7):1908-1911.

  • Qin X L, Forest Fire Satellite Remote Sensing Monitoring, Beijing: China Forestry Press, August 2016.

  • Qin X L, Pang Y, Deng G, Forest Resources and Forest Fire Remote Sensing Monitoring Technology and Practice in Southeast Asia, Beijing: China Forestry Press, March 2012.

Other results

  • Qin Xianlin, Hu Xinyu, Liu Qian, Li Zengyuan. Forest and grassland fire identification method based on remote sensing images and vegetation type maps (invention patent): China, ZL 201510799094.8.

  • Qin Xianlin, Liu Qian, Hu Xinyu, Li Zengyuan. A detection method for the spread area of forest and grassland fires, September 2020 China, ZL22010934253.1.

  • Qin Xianlin, Hu Xinyu, Li Xiaotong, Liu Qian, Li Zengyuan. A forest fire behavior potential prediction method based on multi-source data fusion, China, ZL 2020 1 1609124.1.

  • Qin Xianlin, Zu Xiaofeng, Yin Lingyu, Sun Guifen. A method for automatically generating smoke detection results (invention patent): China, ZL 2015 1 0468951.6.

  • Qin Xianlin, Sun Guifen, Zu Xiaofeng, Yin Lingyu, a method for identifying forest fires using a single medium wave infrared channel (invention patent): China, ZL 201510799094.8.