中国北方1：10万沙漠（地）分布数据集（2020年）

为了更准确了解我国北方现代沙漠（地）时空变化规律,从国家层面收集、整编和更新现代沙漠（地）数据集资料,在遥感和地理信息系统技术支持下,参考已有沙漠（地）调查监测成果,以Landsat系列影像数据为主要信息源,按同一解译标准、以人机交互方式通过比较提取不同类型沙漠（地）信息,形成中国北方地区自1970年代中期以来的沙漠（地）分布现状数据,并通过地面观测、调查进行精度验证和评价后建立数据库。

To accurately clarify the spatio-temporal variation patterns of modern deserts and sandy lands in northern China, we collected, compiled, and updated relevant datasets of modern deserts and sandy lands at the national level. Leveraging remote sensing and geographic information system (GIS) technologies, and referencing existing survey and monitoring outcomes of deserts and sandy lands, we took Landsat series satellite imagery as the primary information source, extracted information on various types of deserts and sandy lands through human-computer interaction and comparative analysis following a unified interpretation standard, thus generating distribution datasets of deserts and sandy lands in northern China since the mid-1970s. After conducting accuracy verification and evaluation via field observations and surveys, we formally established the corresponding database.

搜集汇总

背景与挑战

背景概述

该数据集是2020年中国北方10省区及西南四川省的沙漠和沙地分布数据，比例尺为1:10万，主要用于生态环境研究。数据集基于Landsat系列遥感影像，通过人机交互解译方法提取信息，并经过地面观测验证，类型准确率超过90%，采用双标准纬线等面积割圆锥投影确保空间精度。