东北地区10m分辨率湖泊CDOM数据集(2020年)

该数据集利用Sentinel-2影像和研究机构的湖泊CDOM实测数据集，构建了东北八个典型湖泊（包括水库）CDOM反演模型，生产了2020年东北湖泊CDOM数据集，反映了2020年东北湖泊CDOM的分布情况。包含了一个tif文件和8个shapefile文件，为湖泊栅格数据和矢量数据。定量研究2020年东北湖泊CDOM分布特征，建立东北范围的湖泊CDOM空间分布数据库，为东北湖泊水资源的可持续发展提供数据支撑。

This dataset utilizes Sentinel-2 imagery and in-situ measured lake CDOM datasets from research institutions to construct CDOM inversion models for eight typical lakes (including reservoirs) in Northeast China, and produces the 2020 Northeast China Lake CDOM dataset, which reveals the spatial distribution patterns of CDOM in lakes across Northeast China during 2020. It contains one TIFF file and eight shapefile files, acting as the raster and vector data of lakes in the region. This dataset facilitates quantitative studies on the distribution characteristics of CDOM in Northeast China's lakes in 2020, establishes a spatial distribution database of lake CDOM covering the entire Northeast China, and provides data support for the sustainable development of lake water resources in Northeast China.

搜集汇总

背景与挑战

背景概述

该数据集是2020年东北地区湖泊CDOM（有色溶解有机物）的10米分辨率空间分布数据，基于Sentinel-2影像和实测数据构建反演模型生成，覆盖八个典型湖泊，包含栅格和矢量格式文件。它旨在定量研究CDOM分布特征，为东北湖泊水资源可持续发展提供数据支撑，反演精度达70%以上。