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Estimation of Forest Fire Burned Area by Distinguishing Non-Photosynthetic and Photosynthetic Vegetation Using Triangular Space Method
by
Tian, Qingjiu
, Tian, Jia
, Wang, Xiaoqiong
, Li, Xianyi
, Li, Qianjing
, Yan, Jun
, Zhu, Cuicui
in
Ash
/ burned area
/ China
/ Combustion
/ Damage assessment
/ Experiments
/ Fire damage
/ Fire prevention
/ Flammability
/ Forest & brush fires
/ forest fire
/ Forest fires
/ forests
/ Hyperspectral imaging
/ hyperspectral remote sensing
/ Mathematical analysis
/ Natural disaster damage
/ non-photosynthetic vegetation
/ Photosynthesis
/ Remote sensing
/ Satellite imagery
/ satellites
/ Simulation
/ soil
/ Spatial discrimination
/ Spatial resolution
/ triangular space method
/ Vegetation
/ Vegetation cover
/ Vegetation index
/ Vegetation zones
2023
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Estimation of Forest Fire Burned Area by Distinguishing Non-Photosynthetic and Photosynthetic Vegetation Using Triangular Space Method
by
Tian, Qingjiu
, Tian, Jia
, Wang, Xiaoqiong
, Li, Xianyi
, Li, Qianjing
, Yan, Jun
, Zhu, Cuicui
in
Ash
/ burned area
/ China
/ Combustion
/ Damage assessment
/ Experiments
/ Fire damage
/ Fire prevention
/ Flammability
/ Forest & brush fires
/ forest fire
/ Forest fires
/ forests
/ Hyperspectral imaging
/ hyperspectral remote sensing
/ Mathematical analysis
/ Natural disaster damage
/ non-photosynthetic vegetation
/ Photosynthesis
/ Remote sensing
/ Satellite imagery
/ satellites
/ Simulation
/ soil
/ Spatial discrimination
/ Spatial resolution
/ triangular space method
/ Vegetation
/ Vegetation cover
/ Vegetation index
/ Vegetation zones
2023
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Estimation of Forest Fire Burned Area by Distinguishing Non-Photosynthetic and Photosynthetic Vegetation Using Triangular Space Method
by
Tian, Qingjiu
, Tian, Jia
, Wang, Xiaoqiong
, Li, Xianyi
, Li, Qianjing
, Yan, Jun
, Zhu, Cuicui
in
Ash
/ burned area
/ China
/ Combustion
/ Damage assessment
/ Experiments
/ Fire damage
/ Fire prevention
/ Flammability
/ Forest & brush fires
/ forest fire
/ Forest fires
/ forests
/ Hyperspectral imaging
/ hyperspectral remote sensing
/ Mathematical analysis
/ Natural disaster damage
/ non-photosynthetic vegetation
/ Photosynthesis
/ Remote sensing
/ Satellite imagery
/ satellites
/ Simulation
/ soil
/ Spatial discrimination
/ Spatial resolution
/ triangular space method
/ Vegetation
/ Vegetation cover
/ Vegetation index
/ Vegetation zones
2023
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Estimation of Forest Fire Burned Area by Distinguishing Non-Photosynthetic and Photosynthetic Vegetation Using Triangular Space Method
Journal Article
Estimation of Forest Fire Burned Area by Distinguishing Non-Photosynthetic and Photosynthetic Vegetation Using Triangular Space Method
2023
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Overview
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.
Publisher
MDPI AG
Subject
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