本数据集专注于巢湖流域、滁河流域、里下河地区以及长三角示范区在2000年、2010年和2020年三个关键时间节点的土地利用状况，采用12.5米空间分辨率的高精度遥感解析技术，深度剖析林地、水体、农田、城乡建设用地及草地等主要土地利用类型的动态变化。\n
通过整合长时间序列的高分辨率卫星遥感资料，实现了对上述区域土地利用类型、植被覆盖度以及地表不透水性质的全面动态监测与细致解译。数据集不仅呈现了各土地利用类型在不同时段的空间分布与演变趋势，还通过对比分析，揭示了下垫面（即地表覆盖物）随时间变化的时空特征。", "ds_source": "
收集获取研究范围内高分辨率土地利用类型栅格数据和土壤类型栅格数据。土地利用类型数据为逐年数据或分期数据；土壤类型数据来自于世界土壤数据库和全国土地利用类型数据。下载地址：https://zenodo.org/records/12779975。", "ds_process_way": "
（1）根据分类结果，使用ArcGIS的“栅格重分类”工具，将主要覆盖类型（林地、水体、农田、城乡建设用地、草地等）分为多个类别。\n
（2）分析林地、水体、农田、城乡建设用地、草地等用地类型的面积变化、空间分布变化以及转移矩阵等，掌握下垫面的时空变化特征。\n
（3）输入示范区矢量面文件和土地利用分类栅格文件，利用ArcGIS的“按掩膜提取”功能，得到示范区土地利用分布图。", "ds_quality": "
本数据集专注于长江下游的巢湖流域、滁河流域、里下河地区以及长三角示范区的土地利用情况，特别针对耕地、建设用地等对流域产汇流具有重要影响的地类进行了详尽的面积与空间分布分析。该数据集旨在为分析掌握流域内洪涝致灾因子的动态变化提供高精度、可靠的基础数据支持。\n
在数据加工方面，采用了先进的数据处理技术和方法，以确保数据的精度和准确性。原始数据来源于国家及地方自然资源管理部门、卫星遥感影像以及专业GIS数据源等权威渠道，经过严格的筛选、清洗和整合，形成了统一、完整的数据集。在数据处理过程中，运用了高精度的空间分析算法，对土地利用类型进行了精确的分类和边界划定，确保了数据的空间分布准确无误。", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "巢湖流域,滁河流域,里下河地区,长三角示范区", "ds_acq_lon_east": 122.26, "ds_acq_lat_south": 30.8, "ds_acq_lon_west": 116.39, "ds_acq_lat_north": 34.63, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 1880426227, "ds_files_count": 37, "ds_format": "*.adf", "ds_space_res": "30m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "Albers Equal Area Conic Projection System", "ds_thumbnail": "de9c7a38-ce2b-4c41-850d-57d5547afc28.png", "ds_thumb_from": 2, "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 16:34:37", "last_updated": "2025-06-30 11:34:27", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NHRI.DB6777.2025", "i18n": { "en": { "title": "Land Use Dataset of Chaohu River Basin, Chuhe River Basin, Lixiahe Region, and Yangtze River Delta Demonstration Zone", "ds_format": "*.adf", "ds_source": "
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.", "ds_quality": "
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.\n
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.", "ds_ref_way": "", "ds_abstract": "
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.\n
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.
", "ds_time_res": "", "ds_acq_place": "Chaohu River Basin, Chuhe River Basin, Lixiahe Region, Yangtze River Delta Demonstration Zone", "ds_space_res": "30m", "ds_projection": "", "ds_process_way": "(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.\n
(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.\n
(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.", "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": [ "示范区", "土地利用", "遥感影像" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "巢湖流域", "滁河流域", "里下河地区", "长三角示范区" ], "ds_time_tags": [ 2000, 2010, 2020 ], "ds_contributors": [ { "true_name": "胡庆芳", "email": "hqf_work@163.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "胡庆芳", "email": "hqf_work@163.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "胡庆芳", "email": "hqf_work@163.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "category": "其他" }