自1980年以来，长江中下游流域下垫面条件发生大幅度变化，不同时期土地结构呈现出较大的差异。本数据集通过分析获取自中国科学院空天信息创新研究院解译的1985-2020长江中下游流域主要蓄滞洪区30m、1m地表覆盖基础数据(数据格式为.shp文件)。\n
针对滁河、巢湖流域荒草二三圩、蒿子圩和十八联圩的1985-2020年土地利用类型变化进行分析，明确了其区域建筑、林地、水体、水田、耕地、草地的变化趋势和程度（输出格式为.xlsx）。获取了典型时期土地利用的信息，分析了蓄滞洪区土地利用变化的数量和变幅特征。有助于识别蓄滞洪区储蓄流域超额洪水的不利影响，为更好地运营和管理蓄滞洪区提供科学依据和技术支撑。", "ds_source": "
基础数据获取自中国科学院空天信息创新研究院解译的1985-2020长江中下游流域主要蓄滞洪区30m、1m地表覆盖结果。", "ds_process_way": "
对影像进行重采样处理以改正输出影像的像元偏差，以此来建立新的图像矩阵，本节通过双线性内插法对图像重新采样，利用ArcGIS栅格处理中的波段合成功能，选取2、3、4波段进行真彩色波段合成，再将多光谱图像8波段全色图像进行融合处理，使其具有较高分辨率。\n
利用ArcGIS对多幅影像进行镶嵌，保持色调一致。并采用了回归分析法进行校正处理来消除大气引起的辐射值。基于最后得到的影像，新建线要素描绘所研究的蓄滞洪区的边界，建立蓄滞洪区的矢量边界文件。图像裁剪的作用是保留所研究区域的影像，基于ArcGIS“按掩膜提取”功能，输入研究区矢量面文件和土地利用栅格文件，得到所研究蓄滞洪区土地利用分布图。", "ds_quality": "
对比30m和1m分辨率下土地利用解译成果，发现高分辨率卫星遥感数据具有明显优势。1m分辨率下荒草二、三圩林地分布范围扩大，建筑更清晰，蒿子圩林地和水体、水田总面积变化较大，且更接近实际状况，十八联圩虽30m分辨率能识别大部分地物类型，但1m分辨率能更好地识别较小的地物如居民住宅、道路、水利工程等。总体而言，两种分辨率分析历史土地利用结构及变化偏差较小，结果可靠，两者结合可进一步提升了下垫面地理实体信息识别的精度。", "ds_acq_start_time": "1985-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "长江下游典型蓄滞洪区", "ds_acq_lon_east": 119.03, "ds_acq_lat_south": 31.52, "ds_acq_lon_west": 117.28, "ds_acq_lat_north": 32.44, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 4238546, "ds_files_count": 484, "ds_format": "*.xlsx,*.shp", "ds_space_res": "30m,1m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "Albers Equal Area Conic Projection System", "ds_thumbnail": "ab37ef49-2c71-4917-a4e7-a5a7b5f2ad6f.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "37eb642a-c117-47e4-a677-07ecffb4b8b7", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2025-03-27 15:45:37", "last_updated": "2025-06-30 11:40:12", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NHRI.DB6798.2025", "i18n": { "en": { "title": "Data set of results of analysis of changes in land use types in typical flood storage areas in the Chu River and Chaohu Lake Basin (1985-2020)", "ds_format": "*.xlsx,*.shp", "ds_source": "
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.", "ds_quality": "
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.", "ds_ref_way": "", "ds_abstract": "
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.\n
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.
", "ds_time_res": "", "ds_acq_place": "Typical flood storage and detention areas in the lower reaches of the Yangtze River", "ds_space_res": "30m,1m", "ds_projection": "", "ds_process_way": "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.\n
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.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "蓄滞洪区", "土地利用类型", "重分类" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国", "滁河", "巢湖" ], "ds_time_tags": [ 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020 ], "ds_contributors": [ { "true_name": "陈兆懿", "email": "czy_nhri@163.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "陈兆懿", "email": "czy_nhri@163.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "陈兆懿", "email": "czy_nhri@163.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "category": "其他" }