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Fire Perimeter Data

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DataCite Commons2025-05-01 更新2024-08-18 收录
下载链接:
https://figshare.com/articles/dataset/Fire_Perimeter_Data/20286561/2
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The Fire Perimeter Data focuses on the dynamics of individual fires. The fire perimeters are stored in txt file format, each line in the txt file represents a fire perimeter, and a txt file stores all sequential perimeters of a fire on its development timeline. For example, <em><strong>2019-08-30{"type":"Polygon","coordinates":[[[46.7,44.4],...]]}</strong></em>, the first 10 characters <em><strong>2019-08-30</strong></em><strong> </strong>indicates the observation time of this fire perimeter<strong>, </strong> and the rest characters is the Geojson string of corresponding fire perimeter, and each element <em><strong>[46.7,44.4] </strong></em><em>in the </em><em><strong>coordinates </strong></em><em>list is WGS84 coordinate of a vertex on the fire perimeter</em>. We used Sentinel-2 L2A data, with a spatial resolution of 20 m, to develop the Fire Perimeter Data to track the evolution of 719 individual fires. Of these 719 fires, 442 fires were between 60° and 75°N in the main Eurasian Arctic study area, and the remaining 277 were located between 50° and 60°N in the high-latitude interior of the continent, south of the main study area. The remaining 51 fires were below 50°N. The processing codes of these txt files are provided in str2shp.py.

火灾边界数据集(Fire Perimeter Data)聚焦于单起火灾的动态演化过程。该数据集的火灾边界采用TXT文件格式存储:单个TXT文件内的每一行对应某一火灾在某一时刻的边界断面,而单个文件则完整收录了该火灾在整个发展时序中的全部连续边界信息。以示例为例:`2019-08-30{"type":"Polygon","coordinates":[[[46.7,44.4],...]]}`,该行前10个字符`2019-08-30`代表该火灾边界的观测时间,剩余字符则为对应火灾边界的GeoJSON字符串;坐标列表中的每一个元素`[46.7,44.4]`均为火灾边界上某一顶点的WGS84坐标系坐标。本数据集依托空间分辨率为20米的Sentinel-2 L2A数据构建,共追踪记录了719起独立火灾的演化过程。在这719起火灾中,442起发生在欧亚北极核心研究区内的北纬60°至75°区间;剩余277起分布于核心研究区以南的欧亚大陆高纬度内陆区域,纬度范围为北纬50°至60°;另有51起火灾位于北纬50°以南区域。上述TXT文件的处理代码已在str2shp.py中提供。
提供机构:
figshare
创建时间:
2022-07-15
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集记录了719个个体火灾的边界动态变化,以txt文件格式存储,包含观测时间和地理坐标信息。数据集基于Sentinel-2 L2A数据开发,主要关注欧亚北极地区的火灾演变过程。
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