{
    "created": "2025-02-25 16:45:13",
    "updated": "2026-06-19 00:56:06",
    "id": "5a939c97-16aa-4efa-9c02-cc331717f5a2",
    "version": 4,
    "ds_topic": null,
    "title_cn": "长江下游地区土地利用类型数据集（1985-2020年）",
    "title_en": "Dataset of land use types in the lower reaches of the Yangtze River (1985-2020)",
    "ds_abstract": "<p>&emsp;&emsp;本研究基于Landsat卫星遥感数据以及1km分辨率的中国土地利用现状遥感监测数据，对长江下游地区下垫面地理实体信息进行解译和分析，识别了1985-2020年长江下游地区土地利用类型变化特征，分析了长江下游地区土地利用结构及其变化，为分析长江下游地区承灾体变化奠定基础。",
    "ds_source": "<p>&emsp;&emsp;土地利用数据来自中国科学院资源环境科学数据平台（https://www.resdc.cn/）， 土地利用遥感监测数据集是以美国陆地卫星Landsat遥感影像作为主要信息源，通过人工目视解译构建的中国国家尺度多时期土地利用/土地覆盖专题数据库。\n<p>&emsp;&emsp;数据包括20世纪70年代末期(1980年)、80年代末期(1990年)、90年代中期（1995年）、90年代末期（2000年）、2005年、2008年、2010年、2013年和2015年、2018年、2020年、2023年。数据采用二级分类系统，一级分为耕地、林地、草地、水域、建设用地和未利用土地6类，二级在一级类型基础上进一步分为25个类型。",
    "ds_process_way": "<p>&emsp;&emsp;（1）运用ArcGIS栅格重分类工具，将主要覆盖类型分为多个类别，分别为建筑、林地、水体、水田、耕地、草地等；\n<p>&emsp;&emsp;（2）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": "<p>&emsp;&emsp;数据研究整理长江下游地区，耕地为第一大类土地利用类型，其次是林地或水域，最少是草地。随城镇化进程的发展，建设用地的扩展态势十分显著。\n<p>&emsp;&emsp;一方面呈现出以上海、苏州、无锡、常州、杭州、嘉兴、南京、合肥等为中心向外扩张的特征；另一方面星罗棋布的中小城镇建设用地也在增大，使得南京至上海沿线形成典型的都市连绵地带，长江下游地区不同时期土地利用结构变化的主要特征表现为建设用地的扩张和耕地面积的减少，且两者的变化幅度具有较高的一致性，在过去近40年间，耕地面积减少了12040km<sup>2</sup>，建设用地面积增加了11835 km<sup>2</sup>。\n<p>&emsp;&emsp;林地在1985-1995年呈现增加趋势，在1995-2020年呈现减少趋势，变化并不明显；水域和草地整体呈现出增加趋势。",
    "ds_acq_start_time": "1985-01-01 00:00:00",
    "ds_acq_end_time": "2020-12-31 00:00:00",
    "ds_acq_place": "长江流域下游地区",
    "ds_acq_lon_east": 121.97,
    "ds_acq_lat_south": 29.59,
    "ds_acq_lon_west": 115.47,
    "ds_acq_lat_north": 32.74,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 57749168,
    "ds_files_count": 90,
    "ds_format": "*.adf,*.txt",
    "ds_space_res": "1km",
    "ds_time_res": "5年",
    "ds_coordinate": "WGS84",
    "ds_projection": "Albers Equal Area Conic Projection System",
    "ds_thumbnail": "5a939c97-16aa-4efa-9c02-cc331717f5a2.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": "2025-02-27 18:55:21",
    "last_updated": "2025-06-30 11:40:11",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.NHRI.DB6766.2025",
    "i18n": {
        "en": {
            "title": "Dataset of land use types in the lower reaches of the Yangtze River (1985-2020)",
            "ds_format": "*.adf,*.txt",
            "ds_source": "<p>&emsp; The land use data come from the Resource and Environmental Science Data Platform of the Chinese Academy of Sciences (https://www.resdc.cn/), and the Land Use Remote Sensing Monitoring Dataset (LURMDS) is a national scale multi-period land use/land cover database of China, which is constructed by manual visual interpretation, using Landsat remote sensing imagery as the main source of information. Thematic database.\n<p>&emsp; The data include the late 1970s (1980), the late 1980s (1990), the mid-1990s (1995), the late 1990s (2000), 2005, 2008, 2010, 2013, and 2015, 2018, 2020, and 2023. The data are classified using a two-tier classification system, with the first tier divided into six categories: cropland, forest land, grassland, watersheds, construction land and unutilized land, and the second tier further divided into 25 types based on the first tier types.",
            "ds_quality": "<p>&emsp; In the lower reaches of the Yangtze River, arable land is the first major land use type, followed by forest land or water, and grassland is the least. With the development of urbanization, the expansion of construction land is very significant.\n<p>&emsp; On the one hand, it shows the characteristic of expanding outward with Shanghai, Suzhou, Wuxi, Changzhou, Hangzhou, Jiaxing, Nanjing and Hefei as the center; on the other hand, the construction land of the scattered small and medium-sized towns is also increasing, so that a typical urban continuous zone is formed along the line from Nanjing to Shanghai. The main characteristics of the changes in the land-use structure of the Lower Yangtze River region in different periods are the expansion of construction land and the reduction of the arable land, and the two changes are highly consistent. In the past 40 years, the area of arable land has decreased by 12040km.<sup>2</sup>，The area of land used for construction has increased by 11,835 km.<sup>2</sup>。\n<p>&emsp; Forest land shows an increasing trend from 1985-1995 and a decreasing trend from 1995-2020, with insignificant changes; waters and grasslands show an overall increasing trend.",
            "ds_ref_way": "",
            "ds_abstract": "<p>  Based on Landsat satellite remote sensing data and 1km resolution remote sensing monitoring data of China's land use status, this study decodes and analyzes the geographic entity information of the subsurface of the lower reaches of the Yangtze River, identifies the characteristics of land use type changes in the lower reaches of the Yangtze River from 1985 to 2020, analyzes the land use structure and its changes in the lower reaches of the Yangtze River It also analyzes the land use structure and its changes in the lower reaches of the Yangtze River, and lays the foundation for analyzing the changes of disaster-bearing bodies in the lower reaches of the Yangtze River.</p>",
            "ds_time_res": "5年",
            "ds_acq_place": "Lower reaches of the Yangtze River Basin",
            "ds_space_res": "1km",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;（1） Using the ArcGIS raster reclassification tool, the main cover types were classified into several categories, which were buildings, forests, water bodies, paddy fields, croplands, grasslands, etc.;\n<p>&emsp;(2) Based on ArcGIS “Extract by Mask” function, input the vector surface file and land use raster file of the study area to get the land use distribution map of the studied flood storage area.",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "recommendation_value": 0,
    "license_type": "https://creativecommons.org/licenses/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,
    "belong_to_nieer": false,
    "ds_topic_tags": [
        "长江下游",
        "土地覆盖",
        "遥感影像"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中国",
        "长江下游"
    ],
    "ds_time_tags": [
        1985,
        1990,
        1995,
        2000,
        2005,
        2010,
        2015,
        2020
    ],
    "ds_contributors": [
        {
            "true_name": "商守卫",
            "email": "ssw971216@163.com",
            "work_for": "南京水利科学研究院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "商守卫",
            "email": "ssw971216@163.com",
            "work_for": "南京水利科学研究院",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "商守卫",
            "email": "ssw971216@163.com",
            "work_for": "南京水利科学研究院",
            "country": "中国"
        }
    ],
    "category": "其他"
}