Since 1980, the subsurface conditions in the middle and lower reaches of the Yangtze River Basin have changed substantially, and the land structure has shown large differences in different periods. This dataset was analyzed to obtain the 30m and 1m ground cover base data (data format is .shp file) of the main floodplain storage areas in the middle and lower reaches of the Yangtze River Basin, which were deciphered from the Institute of Space and Astronautical Information Innovation, Chinese Academy of Sciences, from 1985 to 2020.
For the 1985-2020 land use type changes in the Chu River and Chaohu Lake Basin barren grass two-three dikes, Artemisia dikes and eighteen joint dikes, the analysis was conducted, and the trend and degree of changes in their regional buildings, forest land, water bodies, water fields, cultivated land, and grasslands were clarified (the output format is .xlsx). Information on land use in typical periods was obtained, and the quantity and variability characteristics of land use changes in the flood storage and detention area were analyzed. It helps to identify the unfavorable impacts of excess floods in the savings basin of the flood storage and detention area, and provides scientific basis and technical support for better operation and management of the flood storage and detention area.
The basic data were obtained from the 1985-2020 results of 30m and 1m surface coverage of the major flood storage areas in the middle and lower Yangtze River Basin deciphered by the Aerospace Informafion Research Institute,Chinese Academy of Sciences.
The image resampling process is performed to correct the pixel deviation of the output image as a way to establish a new image matrix.In this section, the image is resampled by bilinear interpolation, and the band synthesis function in ArcGIS raster processing is used to select the 2, 3, and 4 bands for the true color band synthesis, and then the multispectral image 8-band panchromatic image is fused to give it has a higher resolution.
ArcGIS was used to mosaic the multiple images to keep the color tone consistent. And regression analysis was used to correct the processing to eliminate the radiation value caused by the atmosphere. Based on the finally obtained images, new line elements were created to depict the boundaries of the studied stagnant floodplain and to create a vector boundary file of the stagnant floodplain. The function of image cropping is to retain the image of the studied area, and based on the function of ArcGIS “Extract by Mask”, the vector surface file and land use raster file of the studied area are input to get the land use distribution map of the studied floodplain.
Comparing the results of land use interpretation at 30m and 1m resolution, it is found that the high resolution satellite remote sensing data has obvious advantages. 1m resolution of the forested area of Arakusa II and III polder is expanded in the distribution range, and the buildings are clearer, the total area of forested area of Artemisia polder and the water body and paddy field is changed more, and it is closer to the actual condition, although the 18th Lianxue polder is able to identify most of the feature types at 30m resolution, but the 1m resolution can better identify smaller features such as residential houses, roads, water works and so on.
Although the 30m resolution can recognize most of the features, the 1m resolution can better recognize smaller features such as residential houses, roads, water conservancy projects, etc. In general, the two resolutions analyze the historical land use. In general, the two resolutions analyze the historical land use structure and changes with less deviation and reliable results, and the combination of the two can further improve the accuracy of the recognition of geographic entity information on the subsurface.
| # | number | name | type |
| 1 | 2021YFC3000100 | Lower Yangtze River Flood Disaster Integration and Control and Emergency De-risking Technology and Equipment | National key R & D plan |
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CSTR:11738.11.NCDC.NHRI.DB6798.2025
10.12072/ncdc.nhri.db6798.2025