Global Oases Yearly Spatiotemporal Distribution Dataset (1995-2020)
CUI Bochao1,2LIU Qi3ABD-ELMABOD Sameh Kotb4LIU Yunfei1LU Binbin5
1 State Key Laboratory of Desert and Oasis Ecology，Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands，Xinjiang Institute of Ecology and Geography，Chinese Academy of Sciences，Urumqi，Xinjiang 830011，China2 Department of Animal Sciences and Aquatic Ecology，Ghent University，Ghent 9000，Belgium，GUI Dongwei3 Biological and Environmental Science and Engineering Division，King Abdullah University of Science and Technology，Thuwal 23955，Saudi Arabia，ABD-ELMABOD Sameh Kotb4 Soils and Water Use Department，Agricultural and Biological Research Institute，National Research Centre，Cairo 12622，Egypt5 School of Remote Sensing and Information Engineering，Wuhan University，Wuhan 430079，China
DOI:10.3974/geodb.2026.05.01.V1
Published:May. 2026
Visitors：22 Data Files Downloaded：0
Data Downloaded： 无 Citations：
Key Words：
Global oases,spatiotemporal evolution,land cover
Abstract：
The authors developed a global oasis yearly spatiotemporal distribution dataset (1995-2020) based on the ESA CCI-LC annual global land cover data (300 m, 1995-2020) and the long-term GIMMS-3G+ NDVI time series. Within the world’s drylands, a unified oasis identification criterion was applied, whereby oases were defined as landscape units supported by stable water sources and characterized by higher vegetation cover and productivity than the surrounding environment. Based on this criterion, the original land cover classes were reclassified, and land cover types within oases were further grouped into six categories: forest, grassland, shrub land, cropland, water body, and urban land, coded as 1–6 in the raster dataset. Using this approach, 26 annual global oasis spatial distribution raster datasets from 1995 to 2020 were generated and compiled into the Global Oasis Spatiotemporal Distribution Dataset (1995-2020). Accuracy assessment was conducted using stratified random sampling with 1,256 validation samples interpreted from high-resolution Google Earth imagery, yielding an overall accuracy of 0.85 ± 0.01. The dataset includes: (1) raster files representing the spatial extent of oases for each year in .tif format. The files are named as oasis_YYYY.tif, where YYYY is year. The spatial resolution is 0.009°. The dataset is archived in .tif format, and consists of 26 raster files with data size of 23 MB.
Foundation Item：
National Natural Science Foundation of China (42361144792, 42171042)
Data Citation：
CUI Bochao, LIU Qi, AB, LIU Yunfei, LU Binbin. Global Oases Yearly Spatiotemporal Distribution Dataset (1995-2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2026. https://doi.org/10.3974/geodb.2026.05.01.V1. .
References：
[1] Copernicus Climate Change Service. Land cover classification gridded maps from 1992 to present derived from satellite observation [J]. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), 2019. DOI: 10.24381/cds.006f2c9a.
[2] Pinzon, J. E., Pak, E. W., Tucker, C. J., et al. Global Vegetation Greenness (NDVI) from AVHRR GIMMS-3G+, 1981-2022 [J]. ORNL DAAC, Oak Ridge, Tennessee, USA, 2023. DOI: 10.3334/ORNLDAAC/2187.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
GlobalOasis_1995-2020.rar |
19429.77KB |
|