1990年至2020年祁连山区30米分辨率的五年期土地覆盖图（QMA_LC30）。

30 m 5-yearly land cover maps of Qilian Mountain Area (QMA_LC30) from 1990 to 2020.

作者信息

Yang Aixia, Zhong Bo, Wang Xuelei, Feng Aiping, Hu Longfei, Ao Kai, Zhai QiuPing, Wu Shanlong, Du Bolin, Wu Junjun

机构信息

National Engineering Research Center for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China.

Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing, 100094, China.

出版信息

Sci Data. 2024 Dec 18;11(1):1339. doi: 10.1038/s41597-024-03976-9.

DOI:10.1038/s41597-024-03976-9

PMID:39695192

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11655834/

Abstract

The Qilian Mountain Area (QMA) serves as a crucial ecological barrier and strategic water conservation zone in China. Recent years have seen heightened social attention to environmental issues within the QMA, underscoring the need for accurate and continuous land cover maps to support ecological monitoring, analysis, and forecasting. This paper presents the QMA_LC30 dataset, which includes 9 land cover categories and spans the period from 1990 to 2020, with updates every 5 years. The dataset primarily utilizes 30 m Landsat series data and features: 1) High precision, achieved through a geographical division and hierarchical classification decision tree approach, complemented by visual interpretation. 2) Robust consistency, ensured by a change detection method based on a benchmark map. The QMA_LC30 dataset undergoes rigorous accuracy validation, achieving an overall accuracy of over 0.92 for all 7 periods of land cover maps. Compared to GlobeLand30, ESA WorldCover, ESRI 2020 Land Cover, FROM_GLC30, and GLC_FCS30, QMA_LC30 demonstrates the highest consistency with remote sensing images.

摘要

祁连山区是中国重要的生态屏障和战略水源涵养区。近年来，祁连山区的环境问题受到社会高度关注，这凸显了需要准确且连续的土地覆盖图来支持生态监测、分析和预测。本文介绍了祁连山区土地覆盖数据集（QMA_LC30），该数据集包含9种土地覆盖类别，时间跨度为1990年至2020年，每5年更新一次。该数据集主要利用30米分辨率的陆地卫星系列数据，具有以下特点：1）高精度，通过地理分区和分层分类决策树方法实现，并辅以目视解译。2）强大的一致性，通过基于基准地图的变化检测方法确保。QMA_LC30数据集经过严格的精度验证，7个时期的土地覆盖图总体精度均超过0.92。与GlobeLand30、ESA WorldCover、ESRI 2020 Land Cover、FROM_GLC30和GLC_FCS30相比，QMA_LC30与遥感影像的一致性最高。