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

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.

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Publication Details

Journal
Scientific Data
Published
2024-12-18
DOI
https://doi.org/10.1038/s41597-024-03976-9
Citations
5
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
2.29

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article

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

Longfei Hu, Shanlong Wu, Aixia Yang, Kai Ao et al.
5 citations
Scientific Data
Remote Sensing in Agriculture
2.29
article

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

Longfei Hu, Shanlong Wu, Aixia Yang, Kai Ao, Bo Zhong, Aiping Feng, Binbin Du, Xuelei Wang, Junjun Wu, QiuPing Zhai
article en
5 citations

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.

Scientific DataVol. 11(1)
Linyi University (CN), Chinese Academy of Sciences (CN), Ministry of Ecology and Environment (CN), Aerospace Information Research Institute (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 12%
Remote Sensing in Agriculture
2.29
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