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Spatiotemporal Dataset of Artificial Grassland in Maqin County, Qinghai Province, China (2017-2021)


ZHU Jie1LIU Wei*2YUAN Yecheng1LI Rui3TAN Qiuyuan1
1 State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China2 Academy of Forest Inventory and Planning,National Forestry and Grassland Administration,Beijing 100013,China3 Ecological Environment Monitoring and Scientific Research Center,Taihu Basin & East China Sea Ecological Environment Supervision and Administration Bureau,Ministry of Ecology and Environment,Shanghai 200125,China

DOI:10.3974/geodb.2026.08.03.V1

Published:Aug. 2026

Visitors:47       Data Files Downloaded:0      
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Key Words:

artificial grassland,Three-River Headwaters region,Artificial Grassland Detection Index,optical images

Abstract:

Accurate spatiotemporal information on artificial grasslands established for ecological restoration is essential for evaluating alpine grassland restoration projects and their potential ecological impacts. In this study, we used the Google Earth Engine (GEE) cloud computing platform and multisource optical satellite imagery from 2017 to 2021 to construct a bitemporal normalized difference vegetation index (NDVI) ratio between the early growth stage (SE) and peak growth stage (GP). Based on this ratio, we calculated the Artificial Grassland Detection Index (AGDI) and developed the spatiotemporal dataset of artificial grassland in Maqin County, Qinghai Province, China (2017-2021). The dataset includes: (1) the study area boundary; (2) annual spatial distribution data of artificial grasslands from 2017 to 2021 at a spatial resolution of 30 m; (3) validation point data, including ground-truth points (GP) obtained through field surveys and visually interpreted points (VP) identified with the assistance of local officials; and (4) annual data on newly established artificial grassland areas. Validation results showed a mean overall accuracy (OA) of 96.2% and a mean Cohen’s kappa coefficient of 0.91 for 2017-2021. For the artificial grassland class, the mean precision, recall, and F1-score were 89.6%, 99.2%, and 94.0%, respectively. The dataset is archived in .shp, .tif and .xlsx data formats, and consists of 30 data files with data size of 2.27 MB (compressed into one file with 919 KB). A scientific paper related to this dataset was published in Ecological Indicators, Vol. 154, 2023.

Foundation Item:

National Natural Science Foundation of China (U2243206); Ministry of Science and Technology of P. R. China (2022YFC3800803)

Data Citation:

ZHU Jie, LIU Wei*, YUAN Yecheng, LI Rui, TAN Qiuyuan. Spatiotemporal Dataset of Artificial Grassland in Maqin County, Qinghai Province, China (2017-2021)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2026. https://doi.org/10.3974/geodb.2026.08.03.V1.
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References:


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Data Product:

ID Data Name Data Size Operation
1 MQAG_2017-2021.rar 919.92KB
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