2016年全球内陆水体离水反射率产品数据集

该离水反射率数据集覆盖范围包括“一带一路”区域亚洲、欧洲、非洲和大洋洲在内的内陆水体，空间分辨率为1km，时间分辨率为2016年四个季度，选取面积大于100km2的水体为研究对象。根据构建大气校正系数与主控因子关系函数，基于辐射传输模型建立提取离水反射率的影响因子及响应机制，利用构建的改进算法进行反演获取离水反射率影像结果，通过分季度计算每处水体的离水反射率均值得到本数据集，数据格式为shp，本数据集主要应用于地理学、环境学等领域，可为“一带一路”区域水质参数遥感反演提供重要数据。

This water-leaving reflectance dataset covers inland waters in Asia, Europe, Africa and Oceania within the scope of the Belt and Road Initiative (BRI). It has a spatial resolution of 1 km, with temporal coverage spanning four quarters of 2016. Water bodies with an area greater than 100 km² were selected as the study subjects. First, the relational function between atmospheric correction coefficients and their dominant controlling factors was established, and the influencing factors and response mechanisms for extracting water-leaving reflectance were developed based on radiative transfer models. Subsequently, the improved self-constructed algorithm was utilized to invert and acquire water-leaving reflectance image products. This dataset was generated by calculating the quarterly average water-leaving reflectance for each water body, and its data format is Shapefile (shp). This dataset is mainly applied in disciplines such as geography and environmental science, and can provide critical data for remote sensing inversion of water quality parameters in the Belt and Road Initiative region.

搜集汇总

背景与挑战

背景概述

该数据集是2016年全球内陆水体离水反射率产品，覆盖'一带一路'区域的亚洲、欧洲、非洲和大洋洲，空间分辨率为1公里，时间分辨率为四个季度。它基于改进的遥感反演算法，使用MODIS等卫星数据源生成，以shp格式提供面积大于100平方公里的水体平均离水反射率，主要用于支持地理和环境科学领域的水质遥感监测研究。