长江经济带大型湖泊水生植物数据集（2017-2020年）

本数据集为长江经济带年大型湖泊水生植被数据，包含了长江经济带面积50km2以上大型湖泊的挺水植被、沉水植被的空间分布信息。在2017-2020年landsat遥感影像数据的基础上，通过波段组合和影像变化技术，得到水生植物影像数据，并在此影像数据基础上构建决策树，得到各水生植被分类结果。
数据集主要包含16景栅格数据，按照“湖泊代码-年份-月份”命名。

This dataset is the annual aquatic vegetation dataset for large lakes in the Yangtze River Economic Belt. It contains spatial distribution information of emergent and submerged vegetation in large lakes within the Yangtze River Economic Belt with an area of 50 km² or larger. Based on Landsat remote sensing imagery from 2017 to 2020, aquatic plant image datasets were generated through band combination and image change analysis techniques. A decision tree was then constructed based on these aquatic plant image datasets to produce classification results for each type of aquatic vegetation. The dataset primarily includes 16 scenes of raster data, which are named in the format of "Lake Code-Year-Month".

搜集汇总

背景与挑战

背景概述

该数据集提供了2017年至2020年长江经济带面积50km²以上大型湖泊的水生植被空间分布信息，包括挺水植被和沉水植被。数据基于Landsat遥感影像，通过波段组合、影像变化技术和决策树分类方法生成，以16景栅格数据形式组织，按'湖泊代码-年份-月份'命名，适用于湖泊生态研究和遥感分析。