2008-2020年四川滑坡灾害解译数据
收藏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://noda.ac.cn/datasharing/datasetDetails/62393731282790061c7eae84
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本文基于2008年以来四川省及周边地区有关滑坡灾害的高分辨率数字正射照片(分辨率为0.2 m~0.9 m),采用目视解译方法提取滑坡灾害,并对灾害进行标注。开发了一套最精确和最典型的滑坡航拍图像和解释数据集。该数据集包含107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 is based on high-resolution digital orthophotos (resolution: 0.2 m to 0.9 m) of landslide disasters in Sichuan Province and its surrounding areas since 2008. Landslide disasters were extracted and annotated through visual interpretation. A highly accurate and representative aerial image and interpretation dataset for landslides and debris flows was developed. This dataset contains 107 typical images of landslide and debris flow disasters, along with annotation data and descriptive documents, covering four types of disasters: seismic landslides, rainfall-induced landslides, channel debris flows, and slope debris flows. The selected disasters in the dataset come from the earthquake-stricken areas of the "5·12" Wenchuan, "4·20" Lushan, and "8·8" Jiuzhaigou earthquakes, as well as areas along the Jinsha River and Dadu River. Benefiting from the high-precision image data source, interpretation and annotation from geological disaster experts, and detailed disaster information, this dataset boasts excellent quality. Compared with previous relevant datasets, this one exhibits greater value in terms of data source quality, dataset completeness, and potential applications. It can be applied not only to the automatic interpretation of landslide and debris flow disasters, but also to research on disaster distribution and risk assessment.
创建时间:
2022-03-22
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是基于2008-2020年四川及周边地区高分辨率(0.2-0.9米)航空影像,通过目视解译方法提取和标注的滑坡与泥石流灾害数据,包含107个典型灾害样本,覆盖地震、降雨等多种灾害类型,并涉及汶川、芦山等关键灾区。数据集具有高精度影像源和专家参与解译的特点,质量可靠,适用于灾害自动识别、分布分析和风险评估等应用。
以上内容由遇见数据集搜集并总结生成



