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Forest Fire Assessment and Analysis in Liangshan, Sichuan Province Based on Remote Sensing
1
College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
* Corresponding Author:
Xingdong Wang,
[email protected]
Volume 1, Issue 1
2023
Received: 09 June 2023
Accepted: 11 October 2023
Published: 17 October 2023
Article Information
Published in
ICCK Transactions on Internet of Things
Volume/Issue
Volume 1, Issue 1, 2023
Pages
15-21
Cited by
4 (Crossref)
2 (Scopus)
Abstract
Because of the special geographical location, dry weather, high temperature and dense vegetation in Liangshan, Sichuan, it is easy to cause forest fires, so it is of great significance to use remote sensing data to evaluate forest fires in Liangshan, Sichuan. In this paper, the forest fire in Muli County, Liangshan, Sichuan Province on March 28th, 2020 was evaluated by using Landsat-8 remote sensing data which can be obtained free of charge. The NDVI of the pre-processed remote sensing images before and after the fire was calculated respectively. After the difference was made, the threshold of the classification of fire and non-fire areas was determined according to the maximum inter-class difference threshold method, and then the over-fire areas were extracted, and the interference was eliminated by open operation. And using the DEM data of the study area, combined with the topography of the study area, the over-fire area is analyzed. The results show that the "3.28" forest fire in Muli County, Sichuan Province, which is studied, belongs to a serious forest fire according to the burned area.
Graphical Abstract
Keywords
Forest fire
Remote sensing assessment
NDVI
References
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APA Style
Y. Hua & X. Wang (2023). Forest Fire Assessment and Analysisin Liangshan, Sichuan Province Based on Remote Sensing.ICCK Transactions on Internet of Things, 1(1), 15–21. https://doi.org/10.62762/TIOT.2023.862892
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TY - JOUR AU - Hua, Yiwei AU - Wang, Xingdong PY - 2023 DA - 2023/10/17 TI - Forest Fire Assessment and Analysis in Liangshan, Sichuan Province Based on Remote Sensing JO - ICCK Transactions on Internet of Things T2 - ICCK Transactions on Internet of Things JF - ICCK Transactions on Internet of Things VL - 1 IS - 1 SP - 15 EP - 21 DO - 10.62762/TIOT.2023.862892 UR - https://www.icck.org/article/abs/TIOT.2023.862892 KW - Forest fire KW - Remote sensing assessment KW - NDVI AB - Because of the special geographical location, dry weather, high temperature and dense vegetation in Liangshan, Sichuan, it is easy to cause forest fires, so it is of great significance to use remote sensing data to evaluate forest fires in Liangshan, Sichuan. In this paper, the forest fire in Muli County, Liangshan, Sichuan Province on March 28th, 2020 was evaluated by using Landsat-8 remote sensing data which can be obtained free of charge. The NDVI of the pre-processed remote sensing images before and after the fire was calculated respectively. After the difference was made, the threshold of the classification of fire and non-fire areas was determined according to the maximum inter-class difference threshold method, and then the over-fire areas were extracted, and the interference was eliminated by open operation. And using the DEM data of the study area, combined with the topography of the study area, the over-fire area is analyzed. The results show that the "3.28" forest fire in Muli County, Sichuan Province, which is studied, belongs to a serious forest fire according to the burned area. SN - pending PB - Institute of Central Computation and Knowledge LA - English ER -
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@article{Hua2023Forest,
author = {Yiwei Hua and Xingdong Wang},
title = {Forest Fire Assessment and Analysis in Liangshan, Sichuan Province Based on Remote Sensing},
journal = {ICCK Transactions on Internet of Things},
year = {2023},
volume = {1},
number = {1},
pages = {15-21},
doi = {10.62762/TIOT.2023.862892},
url = {https://www.icck.org/article/abs/TIOT.2023.862892},
abstract = {Because of the special geographical location, dry weather, high temperature and dense vegetation in Liangshan, Sichuan, it is easy to cause forest fires, so it is of great significance to use remote sensing data to evaluate forest fires in Liangshan, Sichuan. In this paper, the forest fire in Muli County, Liangshan, Sichuan Province on March 28th, 2020 was evaluated by using Landsat-8 remote sensing data which can be obtained free of charge. The NDVI of the pre-processed remote sensing images before and after the fire was calculated respectively. After the difference was made, the threshold of the classification of fire and non-fire areas was determined according to the maximum inter-class difference threshold method, and then the over-fire areas were extracted, and the interference was eliminated by open operation. And using the DEM data of the study area, combined with the topography of the study area, the over-fire area is analyzed. The results show that the "3.28" forest fire in Muli County, Sichuan Province, which is studied, belongs to a serious forest fire according to the burned area.},
keywords = {Forest fire, Remote sensing assessment, NDVI},
issn = {pending},
publisher = {Institute of Central Computation and Knowledge}
}
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