&Emsp&Emsp As the largest tributary of the Yellow River, the flow rate and sediment concentration of the Wei River have significant impacts on the Yellow River. Conducting spatiotemporal evolution monitoring of riverbanks is an important foundation for understanding hydrological changes in river basins.
&Emsp& Emsp; This dataset is based on the high-resolution and resource satellite image data of the Gansu section of the main stream of the Wei River in 2008, 2015, and 2022. Through image orthorectified correction, image registration, image fusion, and mosaic cropping, combined with the image features of remote sensing images, interactive interpretation is used to extract the riverbank boundary of the Gansu section of the Wei River, including the Wei River management scope line, the Wei River waterfront boundary line, and the Wei River outer edge boundary line.
&Emsp& Emsp; The dataset of the main stream shoreline of the Wei River can provide data support for hydrological dynamic monitoring and driving mechanism research in the Wei River Basin, and provide scientific decision-making basis for subsequent river lake shoreline protection and river ecological governance.
The spatiotemporal variation data of the riverbank line in this dataset is mainly sourced from panchromatic 2m and multispectral 8m high-resolution satellite remote sensing images and resource satellite data. A total of 38 scene image data from 2008 to 2022 were selected, covering 100% of the Gansu section of the Weihe River Basin, with single scene cloud coverage not exceeding 10%.
The coordinate system is the CGCS2000 national geodetic coordinate system, and the elevation benchmark is the 1985 national elevation benchmark. The vector boundary of the Wei River Basin is sourced from the National Geographic Information Platform.
The 2022, 2015, and 2008 riverbank line datasets are mainly based on ArcGIS and ENVI software tools. High resolution and resource satellite data are processed through orthophoto correction, image registration, image fusion, tone processing, image mosaic, and frame cropping. Finally, features such as texture, color tone, position, shape, range, and land use type are compared through remote sensing image base map, Digitally extract the riverbank boundary using interactive interpretation methods.
The data quality is good.
| # | number | name | type |
| 1 | 甘水建管发[2023]67 号 | other |
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
CSTR:11738.11.NCDC.NIEER.DB3995.2023
10.12072/ncdc.nieer.db3995.2023
