长江源区地表形变年平均速率及季节性形变量空间分布结果（2018-2022）

本数据以青藏高原长江源区为研究范围，提供长江源区2018年至2022年间的长期地表形变速率的空间分布和季节性形变量的空间分布的栅格数据。处理所用的数据为Sentinel-1A卫星的SAR数据，通过小基线集差分干涉（SABS-InSAR）方法进行处理，获取了对应区域的地表形变时序数据。在此基础上通过多年冻土地表形变模型Def(t)=a*sin(ω*t) + b*cos(ω*t) + v*t + c进行拟合，得到了对应区域的长期地表形变速率和季节性形变量的空间分布结果。最后对结果进行拼接，得到了覆盖长江源区的长期地表形变速率和季节性形变量的空间分布的栅格数据。数据对应长江源区2018至2022年这一时间范围，空间分辨率为80m。本数据能够为在长江源区开展的多年冻土研究提供区域内的地表形变数据支持。This dataset takes the source region of the Yangtze River on the Qinghai-Tibet Plateau as the research scope, providing raster data of the spatial distributions of long-term surface deformation rates and seasonal deformation amounts in this region from 2018 to 2022. SAR data from the Sentinel-1A satellite was used for processing, and surface deformation time series data of the corresponding area were obtained via the Small Baseline Subset Differential Interferometry (SABS-InSAR) method. On this basis, the permafrost surface deformation model Def(t)=a*sin(ω*t) + b*cos(ω*t) + v*t + c was applied for fitting, and the spatial distribution results of long-term surface deformation rates and seasonal deformation amounts in the region were derived. Finally, the results were mosaicked to produce raster data covering the entire source region of the Yangtze River, containing the spatial distributions of long-term surface deformation rates and seasonal deformation amounts. The dataset covers the period from 2018 to 2022, with a spatial resolution of 80 meters. This dataset can provide regional surface deformation data support for permafrost research conducted in the source region of the Yangtze River.

搜集汇总

背景与挑战

背景概述

该数据集提供了2018年至2022年长江源区的地表形变数据，包括年平均速率和季节性形变量的空间分布，空间分辨率为80米。数据基于Sentinel-1A卫星SAR数据，采用小基线集差分干涉方法和多年冻土模型处理生成，以栅格格式存储，适用于多年冻土研究。