典型山洪流域土壤相对含水率反演及实测数据

该数据集包括2020年10月-11月在汶川地震灾区典型山洪流域现场测试的体积含水率数据、实验室天然含水率等物理力学测试数据及基于遥感反演的流域体积含水率时空分布数据。体积含水率数据通过现场实地开挖，利用土壤水分测量仪分别对10cm、30cm和50cm层位的体积含水量进行测定，并取样在室内进行天然含水率测定；基于遥感反演的流域体积含水量通过多年卫星影像数据，提取流域归一化植被指数NDVI，然后基于双通道非线性劈窗算法对流域影像进行地表温度LST提取，最后基于温度植被干旱指数（Temperature Vegetation Dryness Index, TVDI）特征空间，提取流域的土壤相对含水量。

This dataset encompasses in-situ measured volumetric water content data, laboratory-tested natural water content and other physical and mechanical test data collected in typical mountain flood basins within the Wenchuan earthquake-stricken area during October to November 2020, as well as spatiotemporal distribution data of basin-scale volumetric water content derived via remote sensing inversion.
The in-situ volumetric water content data was obtained through on-site excavation: soil moisture meters were used to measure volumetric water contents at 10 cm, 30 cm and 50 cm depth layers respectively, while the collected soil samples were analyzed for natural water content in the laboratory.
The basin-scale volumetric water content derived via remote sensing inversion was generated through the following procedure: first, extract the Normalized Difference Vegetation Index (NDVI) from multi-year satellite imagery of the target basin; second, retrieve the Land Surface Temperature (LST) from the basin imagery using the dual-channel nonlinear split-window algorithm; finally, extract the relative soil water content of the basin based on the feature space of the Temperature Vegetation Dryness Index (TVDI).

搜集汇总

背景与挑战

背景概述

该数据集包含2020年10月至11月汶川地震灾区典型山洪流域的土壤相对含水率数据，涵盖现场实测的体积含水率、实验室天然含水率测试结果以及基于遥感反演的时空分布数据。数据通过现场开挖测量和温度植被干旱指数（TVDI）方法反演获取，用于山洪流域土壤含水量分析。