Bankfull geometry dataset of major exorheic rivers on the Qinghai-Tibet Plateau (1984-2020)- A Big Earth Data Platform for Three Poles

Based on the Sentinel-2 and Landsat 5/7/8 multispectral instrument imageries combined with in-situ measured hydrological data, bankfull river geometry of six major exorheic river basins of the Qinghai-Tibet Plateau (the upper Yellow River, upper Jinsha River, Yalong River, Lantsang River, Nu River and Yalung Zangbo River) are presented. River surface of six mainstreams and major tributaries are included. For each river basin, two types of rivers are included: connected and disconnected rivers. Format of the dataset is .shp exported from the ArcGIS 10.5.

Three products are included in the dataset: one original product (bankfull river surface dataset) and two derived products (bankfull river width dataset and bankfull river surface area dataset with a 1 km river length interval). These three products are in three folders. The first folder, “1-Bankfull River Surface”, contains river surface vectors for six river basins in the .shp file. The second folder, “2-Bankfull River Width”, contains bankfull river widths and corresponding coordinates with a 1 km-step river length for six mainstreams and some connected tributaries in .xlsx format. The river width vectors in the .shp files are also provided in the second folder. The third folder, “3-Bankfull River Surface Area”, contains bankfull river surface areas and corresponding coordinates with a 1 km-step river length for six mainstreams and some connected tributaries in .xlsx format.

Three Supplementary Files are included: Supplementary File 1, tables and figures related to the dataset; Supplementary File 2, used for river surface extraction based on GEE platform; Supplementary File 3, used for river width extraction based on Matlab.

The provided planform river hydromorphology data can supplement global hydrography datasets and effectively represent the combined fluvial geomorphology and geological background in the study area.

File naming and required software

XXX_con.shp;
XXX_discon.shp;
XXX_connected_river_width_divide_1km.shp;
XXX_connected_RW_divide_1km.xlsx;
XXX_connected_area_divided_1km.shp;
XXX_connected_Area_divide_1km.xlsx;

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Cite as:

Li, D., Xue, Y., Qin, C., Wu, B., Chen, B., Wang, G. (2022). Bankfull geometry dataset of major exorheic rivers on the Qinghai-Tibet Plateau (1984-2020). A Big Earth Data Platform for Three Poles, DOI: 10.1038/s41597-022-01614-w. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Xue, Y., Qin, C., Wu, B., Li, D., & Fu, X. (2022). Automatic extraction of mountain river surface and width based on multisource high-resolution satellite images. Remote Sensing, 14, 2370.( View Details | Bibtex)

2. Li, D., Wang, G., Qin, C., & Wu, B.S. (2021). River extraction under bankfull discharge conditions based on sentinel-2 imagery and DEM data. Remote Sensing, 13, 2650.( View Details | Bibtex)

3. Li, D., Wu, B., Chen, B., Qin, C., Wang, Y., Zhang, Y., & Xue, Y. (2020). Open-Surface River Extraction Based on Sentinel-2 MSI Imagery and DEM Data: Case Study of the Upper Yellow River. Remote Sensing, 12, 2737.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

National Natural Science Foundation of China (No:51639005)

National Natural Science Foundation of China (No:52009061)

Postdoctoral Innovation Talents Support Program of China (No:BX20190177)

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