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Spatio-temporal Characteristics of Forest Fires in Hunan Province Based on Multi-source Satellite Data
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Bi ZHOU1, 2, 3, Ru-liu YAN1, 2, Lei-shi CHEN1, 2, 3, Bo-liang LUO1, 2, Bing SUI1, 2, 3, Xia-xia GAO1, 2, Dong-sheng DU1, 2
Science Technology and Engineering | 2025, 25(2) : 713 - 720
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Science Technology and Engineering | 2025, 25(2): 713-720
Papers·Automation and Computational Technology
Spatio-temporal Characteristics of Forest Fires in Hunan Province Based on Multi-source Satellite Data
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Bi ZHOU1, 2, 3, Ru-liu YAN1, 2, Lei-shi CHEN1, 2, 3, Bo-liang LUO1, 2, Bing SUI1, 2, 3, Xia-xia GAO1, 2, Dong-sheng DU1, 2
Affiliations
  • 1 Key Lab of Hunan Province for Meteorological Disaster Prevention and Mitigation, Changsha 410118, China
  • 2 Hunan Meteorological Research Institute, Changsha 410118, China
  • 3 Dongting Lake National Climatic Observatory, China Meteorological Administration, Yueyang 414000, China
Published: 2025-01-18 doi: 10.12404/j.issn.1671-1815.2308266
Outline
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In order to deeply understand the spatio-temporal distribution patterns of forest fires and reduce the adverse effects of forest fires on the ecological environment and human activities, the key parameters and dynamics of multi-source satellite for fire point identification was established using data from 8 domestic and foreign meteorological satellites and based on the classic context method. The satellite monitoring buffer zone radius verification method was used to verify the authenticity of forest hot spots retrieved from multi-source satellites, and the real forest hot spot data during the fire prevention period in 2021—2022 were used to analyze the spatio-temporal characteristics of forest fires. The results show as follows. The accuracy of satellite fire spot monitoring is 84.42%, and the fire point classification accuracy is 89.90%. The established inversion method is reasonable and reliable. The spatial distribution of forest fires in Hunan is “more in the southwest and less in the northeast”. At the same time the high-incidence areas are mainly distributed in southern Hunan, and the second-highest-incidence area is western Hunan. In summary, the risk of forest fires during the autumn prevention period is much greater than that during the spring prevention period. During the extreme high temperature and drought in 2022, forest fires were mainly distributed in the southern Hunan region and the Hengshao Basin. From the perspective of process distribution, the distribution of forest fires can be divided into four stages. The number of forest fires in the first three stages showed a significant increase trend, and in the third stage, the number of forest fires increased significantly. Fire risk is the most serious. In the fourth stage, due to the dual impact of precipitation and the province's fire ban, the risk of forest hot spots was significantly reduced.

forest fire  /  satellite remote sensing  /  authenticity verification  /  fire point identification  /  space-time distribution
Bi ZHOU, Ru-liu YAN, Lei-shi CHEN, Bo-liang LUO, Bing SUI, Xia-xia GAO, Dong-sheng DU. Spatio-temporal Characteristics of Forest Fires in Hunan Province Based on Multi-source Satellite Data[J]. Science Technology and Engineering, 2025 , 25 (2) : 713 -720 . DOI: 10.12404/j.issn.1671-1815.2308266
Year 2025 volume 25 Issue 2
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Article Info
doi: 10.12404/j.issn.1671-1815.2308266
  • Receive Date:2023-10-24
  • Online Date:2025-12-05
  • Published:2025-01-18
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History
  • Received:2023-10-24
  • Revised:2024-10-17
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Affiliations
    1 Key Lab of Hunan Province for Meteorological Disaster Prevention and Mitigation, Changsha 410118, China
    2 Hunan Meteorological Research Institute, Changsha 410118, China
    3 Dongting Lake National Climatic Observatory, China Meteorological Administration, Yueyang 414000, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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