祁连山柴木铁路形变及病害调查数据

该数据集包含祁连山矿区铁路（柴木铁路）2018-2022年的路基形变数据及2023年现场病害调查数据。路基形变数据主要利用Sentinal-1获取的SAR影像，通过SBAS-InSAR技术，处理得到的时序形变数据，本数据病害调查以柴木铁路20171015_20221224累积形变数据为依据，柴木铁路沿线累积形变大的区域做为现场调查重点区域，病害调查数据主要通过现场获得。该数据集对多年冻土区铁路路基病害防治及维护具有一定的指导意义。This dataset contains subgrade deformation data of the Qilian Mountain Mining Area Railway (Chamu Railway) spanning 2018 to 2022, as well as 2023 on-site railway subgrade defect survey data. The subgrade deformation data refers to time-series deformation results processed via the SBAS-InSAR technique using SAR images acquired by Sentinel-1. The defect survey was conducted based on the cumulative deformation data of the Chamu Railway from 2017/10/15 to 2022/12/24, with areas exhibiting large cumulative deformation along the line designated as key on-site survey targets. The survey data was primarily obtained through field investigations. This dataset holds certain guiding significance for the prevention, control and maintenance of railway subgrade defects in permafrost regions.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于祁连山柴木铁路，包含2018-2022年基于Sentinel-1 SAR影像和SBAS-InSAR技术处理的路基时序形变数据，以及2023年现场病害调查数据，重点关注累积形变大的区域。数据集具有年时间分辨率和10m-100m空间分辨率，旨在为多年冻土区铁路路基的病害防治和维护提供科学依据。