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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Main Authors: Jinghu Pan, Xueting Wu, Lu Zhou, Shimei Wei
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Fire
Subjects:
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.
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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
work_keys_str_mv AT jinghupan spatialandtemporaldistributioncharacteristicsofactivefiresinchinausingremotelysenseddata
AT xuetingwu spatialandtemporaldistributioncharacteristicsofactivefiresinchinausingremotelysenseddata
AT luzhou spatialandtemporaldistributioncharacteristicsofactivefiresinchinausingremotelysenseddata
AT shimeiwei spatialandtemporaldistributioncharacteristicsofactivefiresinchinausingremotelysenseddata