MODIS（MOD14A2）中国2000-2023年火灾热点检测信息数据集

1.本摘要针对MODIS（MOD14A2）中国2000-2023年火灾热点检测信息数据集，简明扼要地阐述了其基本情况。数据集基于Terra卫星的MODIS传感器，利用热红外波段辐射信息，通过上下文算法检测活跃火点与热异常，生成8天合成的火灾热点产品。
2.高校、研究所、企事业单位等科研单位。
3.数据生产过程中采用了标准的质量控制流程，包括云掩膜和剔除伪火点。该数据集为研究中国区域火灾时空分布规律、动态监测及灾害评估提供了重要的基础数据支撑，在气候变化、生态学和公共安全等领域具有广泛的利用价值与科学意义。

1. This abstract focuses on the MODIS (MOD14A2) fire hot spot detection dataset of China from 2000 to 2023, briefly elaborating its basic profile. The dataset is based on the MODIS sensor onboard the Terra Satellite, uses radiation data from thermal infrared bands, detects active fire points and thermal anomalies through contextual algorithms, and generates 8-day composite fire hot spot products.
2. Target research institutions include universities, research institutes, enterprises and public institutions.
3. Standard quality control procedures were applied during the data production process, including cloud masking and removal of false fire points. This dataset provides critical basic data support for researching the spatiotemporal distribution patterns, dynamic monitoring and disaster assessment of fires in China, and holds extensive application value and scientific significance in fields such as climate change, ecology and public safety.

搜集汇总

背景与挑战

背景概述

该数据集是基于Terra卫星MODIS传感器的MOD14A2产品，通过热红外波段和上下文算法检测中国区域2000-2023年的火灾热点，生成8天合成数据，空间分辨率约为1公里。它具有长时间序列和全国覆盖的特点，包含火点位置、时间及可信度等信息，并经过云掩膜等质量控制，适用于火灾时空分析、监测评估及气候变化等研究领域。