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Remote Sensing
Volume 15
Issue 12
10.3390/rs15123115
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Article

Estimation of Forest Fire Burned Area by Distinguishing Non-Photosynthetic and Photosynthetic Vegetation Using Triangular Space Method

by
Xiaoqiong Wang
1,2,†,
Jun Yan
3,†,
Qingjiu Tian
1,2,
Xianyi Li
3,
Jia Tian
1,4,*,
Cuicui Zhu
1,2 and
Qianjing Li
1,2
1
International Institute for Earth System Science, Nanjing University, Nanjing 210023, China
2
Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China
3
Zhuhai Orbita Aerospace Science & Technology Co., Ltd., Zhuhai 519080, China
4
School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
*
Author to whom correspondence should be addressed.
†
These co-authors contributed equally to this work.
Remote Sens. 2023, 15(12), 3115; https://doi.org/10.3390/rs15123115
Submission received: 11 April 2023 / Revised: 31 May 2023 / Accepted: 12 June 2023 / Published: 14 June 2023
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Abstract

The forest fire burned area is one of the most basic factors used to describe forest fires and plays a vital role in damage assessment. The development of the NSSI-NDVI vegetation index triangular space method enables simultaneous calculation of the flammable non-photosynthetic vegetation (NPV), combustible photosynthetic vegetation (PV), and incombustible bare soil (BS) fractional cover in forest areas. This can be used to compensate for the calculation method that was based on NDVI vegetation index only by comparing vegetation cover before and after forest fires, with the omission of the NPV burned area. To this end, the NSSI-NDVI triangular space shape consistency before and after forest fires was elucidated through combustion and ash wetting experiments. In addition, the feasibility of the NSSI-NDVI triangular space method for the accurate calculation of the post-fire vegetation damage area was verified. Finally, the applicability and accuracy of this research method were verified based on 10 m spatial resolution satellite hyperspectral images from before and after the forest fire in Lushan, Sichuan Province, China. The NSSI-NDVI triangular space method was used to calculate the PV, NPV, and BS coverage simultaneously, and component transformation was used to calculate the burned area and burned site separately.
Keywords: forest fire; hyperspectral remote sensing; burned area; non-photosynthetic vegetation; triangular space method forest fire; hyperspectral remote sensing; burned area; non-photosynthetic vegetation; triangular space method

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MDPI and ACS Style

Wang, X.; Yan, J.; Tian, Q.; Li, X.; Tian, J.; Zhu, C.; Li, Q. Estimation of Forest Fire Burned Area by Distinguishing Non-Photosynthetic and Photosynthetic Vegetation Using Triangular Space Method. Remote Sens. 2023, 15, 3115. https://doi.org/10.3390/rs15123115

AMA Style

Wang X, Yan J, Tian Q, Li X, Tian J, Zhu C, Li Q. Estimation of Forest Fire Burned Area by Distinguishing Non-Photosynthetic and Photosynthetic Vegetation Using Triangular Space Method. Remote Sensing. 2023; 15(12):3115. https://doi.org/10.3390/rs15123115

Chicago/Turabian Style

Wang, Xiaoqiong, Jun Yan, Qingjiu Tian, Xianyi Li, Jia Tian, Cuicui Zhu, and Qianjing Li. 2023. "Estimation of Forest Fire Burned Area by Distinguishing Non-Photosynthetic and Photosynthetic Vegetation Using Triangular Space Method" Remote Sensing 15, no. 12: 3115. https://doi.org/10.3390/rs15123115

APA Style

Wang, X., Yan, J., Tian, Q., Li, X., Tian, J., Zhu, C., & Li, Q. (2023). Estimation of Forest Fire Burned Area by Distinguishing Non-Photosynthetic and Photosynthetic Vegetation Using Triangular Space Method. Remote Sensing, 15(12), 3115. https://doi.org/10.3390/rs15123115

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