青藏高原全域500m承灾体脆弱性评价图（2024）

青藏高原全域500m承灾体脆弱性评价数据集根据实地调查数据、卫星遥感数据、统计数据，将处理后的数据建立脆弱性评价数据库，在此基础上构建脆弱性评价指标体系，从暴露、敏感、适应能力三个方面构建承灾体脆弱性评价指标，根据科考调研实际情况，进行权重判断。根据改进后的脆弱性评估模型对科考区脆弱性做出评价图。分析灾害系统脆弱性类型、成因、驱动力及其驱动过程，评价灾害脆弱性程度，可以为防灾减灾中的适应能力和恢复能力提供基础信息。

Full-coverage 500m disaster-bearing body vulnerability assessment dataset of the Qinghai-Tibet Plateau: Based on field survey data, satellite remote sensing data and statistical data, a vulnerability assessment database is established using processed datasets. Subsequently, a vulnerability assessment index system is constructed, with disaster-bearing body vulnerability assessment indicators developed from three dimensions: exposure, sensitivity and adaptive capacity. Weight determination is conducted in accordance with the actual conditions of the scientific research survey. Vulnerability assessment maps of the research area are generated via the improved vulnerability assessment model. By analyzing the types, causes, driving forces and their driving processes of disaster system vulnerability, and evaluating the degree of disaster vulnerability, this dataset can provide fundamental information for adaptive capacity and recovery capacity in disaster prevention and mitigation.

搜集汇总

背景与挑战

背景概述

该数据集为2024年青藏高原全域500米分辨率的承灾体脆弱性评价图，基于实地调查、卫星遥感和统计数据构建评价指标体系，从暴露、敏感和适应能力三方面评估脆弱性，用于防灾减灾中的适应和恢复能力分析。数据以tif格式存储，大小3.82 GB，覆盖时间范围为2024年7月至8月。