4.6 Article

Himawari-8 Satellite Based Dynamic Monitoring of Grassland Fire in China-Mongolia Border Regions

Journal

SENSORS
Volume 18, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/s18010276

Keywords

Threshold Algorithm; visual interpretation; Himawari-8 satellite; grassland fire; China-Mongolia border regions

Funding

  1. National Natural Science Foundation of China [41561099, 41571491, 61631011]
  2. China Special Fund for Meteorological Research in the Public Interest [2016006]
  3. Program of Introducing Talents of Discipline to Universities [B16011]
  4. Inner Mongolia Natural Science Foundation of China [2015BS0505]

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In this study, we used bands 7, 4, and 3 of the Advance Himawari Imager (AHI) data, combined with a Threshold Algorithm and a visual interpretation method to monitor the entire process of grassland fires that occurred on the China-Mongolia border regions, between 05:40 (UTC) on April 19th to 13:50 (UTC) on April 21st 2016. The results of the AHI data monitoring are evaluated by the fire point product data, the wind field data, and the environmental information data of the area in which the fire took place. The monitoring result shows that, the grassland fire burned for two days and eight hours with a total burned area of about 2708.29 km(2). It mainly spread from the northwest to the southeast, with a maximum burning speed of 20.9 m/s, a minimum speed of 2.52 m/s, and an average speed of about 12.07 m/s. Thus, using AHI data can not only quickly and accurately track the dynamic development of a grassland fire, but also estimate the spread speed and direction. The evaluation of fire monitoring results reveals that AHI data with high precision and timeliness can be highly consistent with the actual situation.

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