Spatial and Temporal Distribution Characteristics of Active Fires in China Using Remotely Sensed Data
Based on the FIRMS MODIS active fire location data in the Chinese mainland from 2001 to 2018, the GIS fishing net (1 km × 1 km) was used to analyze the spatiotemporal distribution characteristics of active fire occurrence probability and intensity, and a GWLR fire risk assessment model was establish...
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Format: | Article |
Language: | English |
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MDPI AG
2022-11-01
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Series: | Fire |
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Online Access: | https://www.mdpi.com/2571-6255/5/6/200 |
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author | Jinghu Pan Xueting Wu Lu Zhou Shimei Wei |
author_facet | Jinghu Pan Xueting Wu Lu Zhou Shimei Wei |
author_sort | Jinghu Pan |
collection | DOAJ |
description | Based on the FIRMS MODIS active fire location data in the Chinese mainland from 2001 to 2018, the GIS fishing net (1 km × 1 km) was used to analyze the spatiotemporal distribution characteristics of active fire occurrence probability and intensity, and a GWLR fire risk assessment model was established to explore its influencing factors. The results show that active fires in the Chinese mainland are mainly low intensity. They are mainly distributed in the area where the annual average temperature is 14–19 °C, the precipitation is 400–800 mm, the surface temperature is 15–20 °C, the altitude is 1000–3000 m, the slope is <15°, and the NDVI value is >0.6. The GWLR fire risk assessment model was constructed to divide mainland China into five fire risk zones. NDVI, temperature, elevation, and slope have significant spatial effects on the occurrence of active fires in the Chinese mainland. Eight fire risk influencing factor areas were divided by calculation, and differentiated fire prevention suggestions are put forward. |
first_indexed | 2024-03-09T16:45:33Z |
format | Article |
id | doaj.art-021148022bbe424e8030ac3494f93572 |
institution | Directory Open Access Journal |
issn | 2571-6255 |
language | English |
last_indexed | 2024-03-09T16:45:33Z |
publishDate | 2022-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Fire |
spelling | doaj.art-021148022bbe424e8030ac3494f935722023-11-24T14:47:00ZengMDPI AGFire2571-62552022-11-015620010.3390/fire5060200Spatial and Temporal Distribution Characteristics of Active Fires in China Using Remotely Sensed DataJinghu Pan0Xueting Wu1Lu Zhou2Shimei Wei3College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, ChinaCollege of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, ChinaCollege of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, ChinaCollege of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, ChinaBased on the FIRMS MODIS active fire location data in the Chinese mainland from 2001 to 2018, the GIS fishing net (1 km × 1 km) was used to analyze the spatiotemporal distribution characteristics of active fire occurrence probability and intensity, and a GWLR fire risk assessment model was established to explore its influencing factors. The results show that active fires in the Chinese mainland are mainly low intensity. They are mainly distributed in the area where the annual average temperature is 14–19 °C, the precipitation is 400–800 mm, the surface temperature is 15–20 °C, the altitude is 1000–3000 m, the slope is <15°, and the NDVI value is >0.6. The GWLR fire risk assessment model was constructed to divide mainland China into five fire risk zones. NDVI, temperature, elevation, and slope have significant spatial effects on the occurrence of active fires in the Chinese mainland. Eight fire risk influencing factor areas were divided by calculation, and differentiated fire prevention suggestions are put forward.https://www.mdpi.com/2571-6255/5/6/200active firetemporal and spatial distributioninfluencing factorsGWLR modelChinese mainland |
spellingShingle | Jinghu Pan Xueting Wu Lu Zhou Shimei Wei Spatial and Temporal Distribution Characteristics of Active Fires in China Using Remotely Sensed Data Fire active fire temporal and spatial distribution influencing factors GWLR model Chinese mainland |
title | Spatial and Temporal Distribution Characteristics of Active Fires in China Using Remotely Sensed Data |
title_full | Spatial and Temporal Distribution Characteristics of Active Fires in China Using Remotely Sensed Data |
title_fullStr | Spatial and Temporal Distribution Characteristics of Active Fires in China Using Remotely Sensed Data |
title_full_unstemmed | Spatial and Temporal Distribution Characteristics of Active Fires in China Using Remotely Sensed Data |
title_short | Spatial and Temporal Distribution Characteristics of Active Fires in China Using Remotely Sensed Data |
title_sort | spatial and temporal distribution characteristics of active fires in china using remotely sensed data |
topic | active fire temporal and spatial distribution influencing factors GWLR model Chinese mainland |
url | https://www.mdpi.com/2571-6255/5/6/200 |
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