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A high-precision oasis dataset for China from remote sensing images
Jingwu Lin1,2,3, Dongwei Gui4,5,6, Yunfei Liu1,2,3
1State 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, 830011, China.
Scientific Data
|July 2, 2024
Summary
Researchers created the High-Definition Oasis dataset of China (HDCO), a 1-meter resolution map of 1,466 oases. This dataset is crucial for studying arid regions and oasis dynamics under environmental change.
Area of Science:
- Environmental Science
- Remote Sensing
- Geographic Information Systems (GIS)
Background:
- High-resolution oasis maps are essential for understanding arid region ecology and socio-economic development.
- Existing oasis datasets lack the necessary precision for detailed analysis.
- The niche nature of oasis research has historically limited the creation of high-precision datasets.
Purpose of the Study:
- To address the gap in high-precision oasis data.
- To construct a high-resolution dataset of China's oases.
- To provide a foundation for quantitative oasis monitoring and research.
Main Methods:
- Detailed visual interpretation of remote sensing images from Google Earth Professional and Sentinel-2.
- Data collection conducted in the summer of 2020.
- Validation using field surveys and Receiver Operating Characteristic (ROC) curve analysis.
Main Results:
- Construction of the High-Definition Oasis dataset of China (HDCO) with 1-meter resolution.
- HDCO includes 1,466 oases covering a total area of 277,375.56 km².
- Dataset validation achieved a kappa coefficient of 0.8686 and an AUC value of 0.935.
- Inclusion of geographic coordinates, climatic conditions, landforms, and hydrological features for each oasis.
Conclusions:
- The HDCO dataset provides unprecedented detail for oasis research in China.
- Enables quantitative monitoring of oasis location and area.
- Facilitates exploration of oasis-human-environment interactions under climate change and urbanization.
