Spatial and temporal distributions of forest fires in Heilongjiang Province from 2001 to 2018 based on MODIS data

doi:10.12302/j.issn.1000-2006.201910023

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2021, Vol. 45 ›› Issue (1): 205-211.doi: 10.12302/j.issn.1000-2006.201910023

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Spatial and temporal distributions of forest fires in Heilongjiang Province from 2001 to 2018 based on MODIS data

CUI Yang(), DI Haiting, XING Yanqiu^*(), CHANG Xiaoqing, SHAN Wei

Center for Forest Operations and Environment, Northeast Forestry University, Harbin 150040, China

Received:2019-10-23 Accepted:2019-12-29 Online:2021-01-30 Published:2021-02-01
Contact: XING Yanqiu E-mail:cuiyang@nefu.edu.cn;yanqiuxing@nefu.edu.cn

Abstract

Abstract:

【Objective】 Heilongjiang Province is one of the most important forestry provinces in China, and it is also one of the areas most seriously damaged by forest fires. In this study, the forest fire point information was obtained from remote sensing data, and the temporal and spatial distribution patterns of forest fire occurrence in Heilongjiang Province in recent years was mapped, so that we could explore the laws of forest fire occurrence. 【Method】 Based on the MCD64A1 data set of fire traces from the Moderate-resolution Imaging Spectroradiometer (MODIS) remote sensing images from 2001 to 2018 in Heilongjiang Province, we extracted the forest fire point information. Then, we combined it with historical fire record data, the normalized difference vegetation index (NDVI), forest type, a digital elevation model (DEM), and other data to study the temporal and spatial distributions of forest fires in Heilongjiang Province. We used the GIS spatial analysis and statistical analysis methods. 【Result】 The number of forest fires and the burned area in Heilongjiang Province fluctuated between 2001 and 2018, overall, the number of forest fires decreased. The number of fires was the highest in 2002, the burned area was the largest in 2003, and the burned area was the smallest in 2008. Spring and autumn were the most frequent periods of forest fires, and there were almost no fires in winter. The spatial distribution of forest fires was heterogeneous. Heihe City had the largest forest fire-burned area out of the 13 prefecture-level administrative regions, followed by Greater Khingan Mountains Prefecture and Suihua City. Daqing City had the smallest forest fire-burned area. The fire-burned area decreased with an increase in altitude. Combined with the distribution of forest types, it was found that the highest probability of fire occurred in coniferous forests, followed by mixed forests and broad-leaved forests. 【Conclusion】 The MCD64A1 data set of fire traces can extract fire information more accurately. By combining it with the vegetation type and elevation information, we identified the temporal and spatial laws of forest fire occurrence in Heilongjiang Province, which provide an important scientific basis for regional forest fire fighting and early warning monitoring.

Key words: forest fire, temporal and spatial distribution, Moderate-resolution Imaging Spectroradiometer(MODIS), MCD64A1, Heilongjiang Province

CLC Number:

S762.1

CUI Yang, DI Haiting, XING Yanqiu, CHANG Xiaoqing, SHAN Wei. Spatial and temporal distributions of forest fires in Heilongjiang Province from 2001 to 2018 based on MODIS data[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2021, 45(1): 205-211.

Figures/Tables 4

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Table 1

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海拔/m altitude	过火面积/ ×10⁴ hm² burned area	占总火灾面积的比例/% proportion of total burned area	占各海拔面积的比例/% proportion of each altitude area	森林类型 forest type	过火面积/ ×10⁴ hm² burned area	占总火灾面积的比例/% proportion of total burned area	占各林分面积的比例/% proportion of each forest area
0~200	16.10	10.13	0.94	阔叶林broad forest	90.94	58.39	7.56
≥200~400	88.90	56.81	5.84	针叶林coniferous forest	31.93	20.51	12.89
≥400~600	50.20	31.54	5.77	混交林mixed forest	32.85	21.10	10.40
≥600~800	0.22	1.44	0.07
≥800	0.11	0.09	0.06

Spatial and temporal distributions of forest fires in Heilongjiang Province from 2001 to 2018 based on MODIS data

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