2020年全球内陆水体叶绿素a浓度产品数据集

该叶绿素a浓度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，选取面积大于100km2的水体为研究对象。根据光谱特性差异，利用最优反演因子研发的叶绿素a浓度反演模型对生产的离水反射率影像结果进行反演得到叶绿素a浓度影像，通过分季度计算每处水体的叶绿素a浓度均值得到本数据集，数据格式为shp，本数据集主要应用于地理学、环境学等领域，可用于“一带一路”区域水环境研究。

This chlorophyll-a concentration dataset covers inland waters across Asia, Europe, Africa and Oceania within the Belt and Road Initiative (BRI) region, selecting inland water bodies with an area greater than 100 km² as the study subjects. Based on differences in spectral characteristics, the chlorophyll-a concentration inversion model developed using optimal inversion factors was applied to retrieve chlorophyll-a concentration imagery from the produced water-leaving reflectance imagery. This dataset was compiled by calculating the quarterly average chlorophyll-a concentration for each water body, and its data format is shp. This dataset is primarily applicable to disciplines such as geography and environmental science, and can be used for water environment research 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2020年全球内陆水体叶绿素a浓度的遥感产品，特别聚焦于“一带一路”区域（包括亚洲、欧洲、非洲和大洋洲）面积大于100平方公里的水体。数据基于1公里分辨率的MODIS原始数据，通过光谱特征差异和反演算法生成，以矢量格式（shp）提供每季度平均浓度，主要用于地理和环境科学研究，支持水环境监测和分析。