This dataset focuses on the land use status of the Chaohu Lake Basin, the Chu River Basin, the Lishiahe River area and the Yangtze River Delta Demonstration Area at three key time nodes, 2000, 2010 and 2020, and employs high-precision remote sensing analysis technology with a spatial resolution of 12.5 meters to analyze the dynamic changes of the major land use types, such as forest land, water bodies, agricultural land, urban and rural construction land and grassland. It also analyzes the dynamic changes of major land use types such as forest land, water bodies, farmland, urban and rural construction land and grassland.
By integrating high-resolution satellite remote sensing data over a long period of time, the data set realizes comprehensive dynamic monitoring and detailed interpretation of land use types, vegetation cover and impermeable nature of the ground surface in the above regions. The dataset not only presents the spatial distribution and evolution trend of each land use type in different time periods, but also reveals the spatial and temporal characteristics of the subsurface (i.e., surface cover) over time through comparative analysis.
| collect time | 2000/01/01 - 2020/12/31 |
|---|---|
| collect place | Chaohu River Basin, Chuhe River Basin, Lixiahe Region, Yangtze River Delta Demonstration Zone |
| data size | 1.8 GiB |
| data format | *.adf |
| Data spatial resolution (/ M) | 30m |
| Coordinate system | WGS84 |
High-resolution land-use type raster data and soil type raster data were collected for the study area. The land use type data are year-by-year data or phased data; the soil type data are from the World Soil Database and the National Land Use Type Data. Downloaded from https://zenodo.org/records/12779975.
(1) Based on the classification results, the main cover types (forest land, water bodies, agricultural land, urban and rural construction land, grassland, etc.) were categorized into multiple categories using the “raster reclassification” tool of ArcGIS.
(2) Analyze the area change, spatial distribution change and transfer matrix of forest land, water body, farmland, urban and rural construction land, grassland and other land types to grasp the spatial and temporal characteristics of the subsurface change.
(3) Input the vector surface file and land use classification raster file of the demonstration area, and utilize the function of “extract by mask” of ArcGIS to get the land use distribution map of the demonstration area.
This dataset focuses on the land use situation in the lower reaches of the Yangtze River in the Chaohu Basin, the Chu River Basin, the Lixia River area and the Yangtze River Delta Demonstration Area, and especially analyzes the area and spatial distribution of arable land, construction land and other land categories that have an important impact on the production and sinking of the basin. This dataset is designed to provide high-precision and reliable basic data for analyzing the dynamic changes of flooding factors in the basin.
In data processing, advanced data processing techniques and methods were adopted to ensure the precision and accuracy of the data. The raw data come from authoritative channels such as national and local natural resources management departments, satellite remote sensing images and professional GIS data sources, and after strict screening, cleaning and integration, a unified and complete data set is formed. During data processing, high-precision spatial analysis algorithms were applied to accurately categorize and delineate the boundaries of land use types, ensuring the accurate spatial distribution of the data.
| # | 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 |
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
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| 1 | 巢湖流域土地利用10年间隔数据 | |
| 2 | 滁河流域土地利用10年间隔数据 | |
| 3 | 里下河地区土地利用10年间隔数据 | |
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| # | category | title | author | year |
|---|---|---|---|---|
| 1 | patent | An intelligent warning method for flood disaster risk that integrates precipitation and water level information | Hu Qingfang, Su Xin, and others | 2024 |
| 2 | achievements | NHRI Flood Disaster Panorama Analysis and Social Control Platform V1.0 | nanjing hydraulic research institute | 2024 |
| 3 | achievements | NHRI Flood Disaster Social Public Opinion Analysis Software V1.0 | nanjing hydraulic research institute | 2024 |
Chaohu River Basin Chuhe River Basin Lixiahe Region Yangtze River Delta Demonstration Zone
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