High-resolution land use and land cover maps for the greater Mariño watershed in 2019

This repository contains the land use land cover maps, as well as the field database, generated in Vallet et al. " Generating high-resolution land use and land cover maps for the greater Mariño watershed in 2019 with machine learning" (https://doi.org/xxxxx). The land use land cover maps are provided in raster and vectorial format, for the 3 levels of the land use land cover nomenclature. At the finest level of classification, we distinguish between 21 different land use and land cover classes. All datasets can be visualized at https://idg-tetis.teledetection.fr/geonetwork/srv/fre/catalog.search#/metadata/1aca752e-ad4b-4b50-9281-f79df08232b13

本数据集仓库包含Vallet等人在论文《基于机器学习生成2019年大马里尼奥流域高精度土地利用与土地覆盖制图》（Generating high-resolution land use and land cover maps for the greater Mariño watershed in 2019 with machine learning，https://doi.org/xxxxx）中生成的土地利用与土地覆盖（Land Use and Land Cover，简称LULC）制图及野外调查数据库。本次提供的LULC制图匹配三级LULC分类命名体系，支持栅格（raster）与矢量（vectorial）两种格式。在最精细的分类层级下，本数据集共区分21种不同的LULC类别。所有数据集均可通过以下链接实现可视化浏览：https://idg-tetis.teledetection.fr/geonetwork/srv/fre/catalog.search#/metadata/1aca752e-ad4b-4b50-9281-f79df08232b13

搜集汇总

背景与挑战

背景概述

该数据集提供了2019年大马里诺流域的高分辨率土地利用和土地覆盖图，包括栅格和矢量格式，支持三个分类级别，最细级别区分21种不同类别。这些数据基于机器学习方法生成，并附带现场数据库，可通过在线平台进行可视化。