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2010-2020年四川泥石流灾害解译数据

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国家对地观测科学数据中心2022-03-22 更新2024-03-04 收录
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https://www.chinageoss.cn/datasharing/datasetDetails/6239340e282790061c7eae7d
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资源简介:
本文基于2008年以来四川省及周边地区高分辨率数字正射照片(分辨率为0.2 m~0.9 m)泥石流灾害,采用目视解译方法提取泥石流灾害,并对灾害进行标注。开发了一套最精确和最典型的泥石流航拍图像和解释数据集。该数据集包含97张典型滑坡泥石流灾害图像、标注数据和描述文件,涉及地震滑坡、降雨滑坡、沟道泥石流、坡面泥石流4类灾害。数据集选取的灾害包括“5·12”汶川、“4·20”芦山、“8·8”九寨沟地震灾区以及金沙江、大渡江沿线地区。由于高精度的图像数据源、地质灾害专家的解释和注释以及详细的灾害信息,该数据集的质量非常好。与之前的相关数据集相比,该数据集在数据源质量、数据集完整性和潜在应用方面更有价值。它不仅可以用于滑坡、泥石流灾害的自动判读,还可以用于灾害分布和风险评估研究。

This study uses high-resolution digital orthophotos (with a resolution of 0.2 m to 0.9 m) of debris flow disasters in Sichuan Province and its surrounding areas since 2008. Visual interpretation was applied to extract and annotate these disasters, resulting in the development of a highly accurate and representative aerial imagery and annotation dataset for debris flow disasters. This dataset contains 97 typical images of landslide and debris flow disasters, along with matching annotation data and descriptive documents, covering four disaster categories: seismic landslides, rainfall-induced landslides, gully debris flows, and slope debris flows. The disasters included in this dataset are sourced from the "5·12" Wenchuan, "4·20" Lushan, and "8·8" Jiuzhaigou earthquake-stricken regions, as well as areas along the Jinsha River and Dadu River. The dataset has excellent data quality, thanks to its high-precision image sources, professional interpretations and annotations from geological disaster experts, and detailed disaster-related information. Compared with existing relevant datasets, this one demonstrates higher value in terms of data source quality, dataset completeness, and potential applications. It can be utilized not only for automatic interpretation of landslide and debris flow disasters, but also for research on disaster distribution and risk assessment.
创建时间:
2022-03-22
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集是2010-2020年四川省泥石流灾害高精度解译数据集,包含97张0.2-0.9米分辨率的典型灾害图像及专业标注,涵盖4类灾害类型,主要覆盖四川主要地震灾区和江河沿线区域,具有数据质量高、标注专业的特点,适用于灾害自动判读和风险评估研究。
以上内容由遇见数据集搜集并总结生成
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