森林草原火灾遥感监测案例数据集

森林草原火灾遥感监测案例数据集包含2019-2023年国内发生的十多起森林草原火灾遥感影像数据，以及过火范围以各承灾体受损程度信息数据。
过火范围对研究森林火灾的形成机制来说是不可或缺的。由于各个地区在各个时期所处的地形和气候条件等都不一致，导致区域过火范围的识别精度往往受到各种限制。完整并准确地识别过火范围可以帮助理解火灾的时空模式，分析火灾的驱动因素，评价其对人类和自然的影响，也可以为灾后管理和森林防火工程提供参考，为全球碳循环提供重要的数据支持。及时进行火烧迹地提取，保护森林资源，对经济发展、生态环境以及人类安全都有很重要的意义,准确评估火灾严重程度的大规模测绘是火灾管理以及与火灾有关的生态和气候变化研究的重要途径。

The Remote Sensing Monitoring Case Dataset for Forest and Grassland Fires contains remote sensing image data of more than ten forest and grassland fire incidents that occurred in China between 2019 and 2023, as well as data on burned areas and the damage severity information of various hazard-affected bodies.
Burned areas are indispensable for studying the formation mechanism of forest fires. Due to varying terrain, climatic conditions and other factors across different regions and time periods, the identification accuracy of regional burned areas is often constrained by multiple limitations. Accurately and comprehensively identifying burned areas can help understand the spatiotemporal patterns of fires, analyze their driving factors, evaluate their impacts on humans and nature, provide references for post-disaster management and forest fire prevention projects, and offer critical data support for the global carbon cycle. Timely extraction of burned scars and protection of forest resources are of great significance to economic development, the ecological environment and human safety. Large-scale mapping for accurate assessment of fire severity is an important approach for fire management and research on fire-related ecological and climate changes.