基于GF-1卫星影像的2020年8月19日甘肃陇南市文县石鸡坝镇山洪灾害分布提取数据集

强降水往往导致山洪的发生，造成严重的损失。相关灾害发生后，第一时间需要确定强降水导致的洪水的分布情况。遥感数据作为山洪动态监测重要信息来源, 能够直接用于提取洪水、泥石流、滑坡等灾害分布和具体影响范围信息。本数据资源主要利用甘肃陇南市文县石鸡坝镇强降水发生后（2020.8.19）高分一号卫星影像，经系统几何校正处理后人机交互提取的山洪分布 的结果。Heavy precipitation often triggers mountain torrents, resulting in severe losses. Immediately after such disasters occur, it is critical to ascertain the distribution of floods caused by heavy precipitation. Remote sensing data, as an important information source for dynamic monitoring of mountain torrents, can be directly used to extract information on the distribution and specific impact ranges of disasters such as floods, debris flows and landslides. This dataset mainly utilizes GaoFen-1 satellite images acquired after the heavy precipitation event on August 19, 2020, in Shijiba Town, Wen County, Longnan City, Gansu Province, and the results of mountain torrent distribution extracted through human-computer interaction following systematic geometric correction.

搜集汇总

背景与挑战

背景概述

该数据集基于GF-1卫星影像，提取了2020年8月19日甘肃陇南市文县石鸡坝镇的山洪灾害分布信息，空间分辨率为2米，采用矢量数据格式。数据集主要用于应急遥感监测，通过人机交互方式生成，经过辐射校正和地理配准预处理，确保数据准确可靠，支持灾害评估和响应研究。