{
    "created": "2019-10-11 10:34:16",
    "updated": "2026-05-23 14:14:09",
    "id": "c2997307-f9f6-4879-8293-995efd134e5d",
    "version": 2,
    "ds_topic": null,
    "title_cn": "中国地区土地覆盖综合数据集",
    "title_en": "Comprehensive land cover dataset of China",
    "ds_abstract": "<p>中国土地覆盖数据集包括5种产品：</p>\n\n<p>1）glc2000_lucc_1km_Chivfna.asc,由GLC2000项目开发的基于SPOT4遥感数据的全球土地覆盖数据中国子集，数据名称为GLC2000.GLC2000中国区域土地覆盖数据由全球覆盖数据直接裁剪得到，它的数据说明请参考http://www-gvm.jrc.it/glc2000/defaultGLC2000.htm</p>\n\n<p>2）igbp_lucc_1km_China.asc,由IGBP－DIS支持的基于AVHRR遥感数据的全球土地覆盖数据中国子集，数据名称为IGBPDIS；IGBPDIS数据的制备，采用USGS的方法，利用1992年四月到1992年三月的AVHRR数据开发出1km分辨率的全球土地覆盖数据,分类系统采取IGBP制定的分类系统，把全球分为17类.其开发以洲为单位。应用AVHRR12个月的最大化合成NDVI资料，</p>\n\n<p>3）modis_lucc_1km_China_2001.asc,MODIS土地覆盖数据产品中国子集，数据名称为MODIS；MODIS中国区域土地覆盖数据由全球覆盖数据直接裁剪得到，它的数据说明请参考http://edcdaac.usgs.gov/modis/mod12q1v4.asp。</p>\n\n<p>4）umd_lucc_1km_China.asc,由马里兰大学生产的基于AVHRR数据的全球土地覆盖数据中国子集，数据名称为UMd；UMd基于AVHRR数据的5个波段及NDVI数据经过重新组合建议数据矩阵，用分类树的方法进行了全球土地覆盖分类工作。其目的是希望建立一个比过去数据更高精度的数据。分类系统很大程度上采用了IGBP的分类方案。</p>\n\n<p>5）westdc_lucc_1km_China.asc，由中国科学院组织实施的中国2000年1：10万土地覆盖数据，对其进行合并、矢栅转换（面积最大法），最后得到全国幅1km的土地利用数据产品，数据名称为WESTDC。WESTDC中国区域土地覆盖数据是在中国科学院1：10万按县分幅的土地资源调查的成果的基础上进行了合并、矢栅转换（面积最大法），最后得到全国幅的土地利用数据产品。采用中科院资源环境分类系统。</p>\n\n<p>2：数据格式：ArcView GIS ASCII</p>\n\n<p>3：网格参数：</p>\n\n<p>ncols 4857</p>\n\n<p>nrows 4045</p>\n\n<p>xllcorner -2650000</p>\n\n<p>yllcorner 1876946</p>\n\n<p>cellsize 1000</p>\n\n<p>NODATA_value -9999</p>\n\n<p>4：投影参数：</p>\n\n<p>Projection ALBERS</p>\n\n<p>Units METERS</p>\n\n<p>Spheroid Krasovsky</p>\n\n<p>Parameters:</p>\n\n<p>25 00 0.000 /* 1st standard parallel</p>\n\n<p>47 00 0.000 /* 2nd standard parallel</p>\n\n<p>105 00 0.000 /* central meridian</p>\n\n<p>0 0 0.000 /* latitude of projection's origin</p>\n\n<p>0.00000 /* false easting (meters)</p>\n\n<p>0.00000 /* false northing (meters)</p>",
    "ds_source": "<p>采用USGS的方法，利用1992年四月到1992年三月的AVHRR数据开发出1km分辨率的全球土地覆盖数据,分类系统采取IGBP制定的分类系统，把全球分为17类.其开发以洲为单位</p>",
    "ds_process_way": "<p>裁剪、合成</p>",
    "ds_quality": "<p>数据集通过严格的人工审核控制质量</p>",
    "ds_acq_start_time": "2000-01-01 00:00:00",
    "ds_acq_end_time": "2000-12-31 00:00:00",
    "ds_acq_place": "中国",
    "ds_acq_lon_east": 135.5,
    "ds_acq_lat_south": 17.8,
    "ds_acq_lon_west": 73.2,
    "ds_acq_lat_north": 53.86666666666667,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 25027219,
    "ds_files_count": 2,
    "ds_format": "栅格，矢量",
    "ds_space_res": null,
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "Albers",
    "ds_thumbnail": "c2997307-f9f6-4879-8293-995efd134e5d.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "None",
    "ds_from_station": null,
    "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e",
    "ds_serv_man": "寒区旱区科学数据中心",
    "ds_serv_phone": "0931-4967287",
    "ds_serv_mail": "westdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 3,
    "publish_time": "2020-12-23 10:39:29",
    "last_updated": "2023-08-23 16:46:28",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.Westdc.2020.678",
    "i18n": {
        "en": {
            "title": "Comprehensive land cover dataset of China",
            "ds_format": "GeoTiff, SHP",
            "ds_source": "<p>The USGS methodology was used to develop global land cover data at 1km resolution using AVHRR data from April 1992 to March 1992, and the classification system was adopted from the IGBP classification system, which classifies the world into 17 categories. It was developed on a continental basis\n</p>",
            "ds_quality": "<p>Data set quality control through strict manual audit</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>China's land cover dataset includes five products:</p>\n<p>1) Glc2000.glc2000 china.asc is a Chinese subset of global land cover data based on SPOT4 remote sensing data developed by glc2000 project. The data name is glc2000.glc2000 China regional land cover data is directly cut from global coverage data. Please refer to http://www-gvm.jrc.it/glc2000/defaultglc2000.htm for its data description</p>\n<p>2) igbp_lucc_1km_China.asc, a subset of China based on AVHRR remote sensing data supported by IGBP-DIS, with the data name IGBPDIS; the IGBPDIS data was prepared using the USGS method, using the AVHRR data from April 1992 to the IGBPDIS data was developed using the USGS methodology, using AVHRR data from April 1992 to March 1992 to develop global land cover data at 1km resolution, and the classification system was adopted from the classification system developed by the IGBP, dividing the world into 17 categories. It was developed on a continental basis. Applying 12 months of maximised synthetic NDVI information from AVHRR, </p>\n<p>3) MODIS ﹣ LUCC ﹣ 1km ﹣ China ﹣ 2001.asc, MODIS land cover data product China subset, the data name is MODIS; MODIS China regional land cover data is directly cut from the global coverage data, and its data description please refer to http://edcdaac.usgs.gov/modis/mod12q1v4.asp. </p>\n<p>4) UMD ﹣ LUCC ﹣ 1km ﹣ china.asc is a Chinese subset of global land cover data based on AVHRR data produced by the University of Maryland. The data name is UMD. After recombining the suggested data matrix, UMD carries out the global land cover classification with the method of classification tree. Its purpose is to build a data with higher precision than the past data. The classification system adopts IGBP classification scheme to a great extent. </p>\n<p>5) WESTDC · LUCC · 1km · china.asc, the land cover data of 1:100000 in 2000 organized and implemented by the Chinese Academy of Sciences, was merged and transformed into vector grid (area maximum method). Finally, the national 1km land use data product was obtained, with the data name of WESTDC. WESTDC China regional land cover data is based on the results of the 1:100000 land resource survey conducted by the Chinese Academy of Sciences, which is divided into different areas according to the county, and combined with the vector grid transformation (area maximum method). Finally, the national land use data products are obtained. Adopt the classification system of resources and environment of Chinese Academy of Sciences. </p>\n<p>2: Data format: ArcView GIS ASCII</p>\n<p>3: Grid parameters:</p>\n<p>ncols 4857</p>\n<p>nrows 4045</p>\n<p>xllcorner -2650000</p>\n<p>yllcorner 1876946</p>\n<p>cellsize 1000</p>\n<p>NODATA_value -9999</p>\n<p>4: Projection parameters:</p>\n<p>Projection ALBERS</p>\n<p>Units METERS</p>\n<p>Spheroid Krasovsky</p>\n<p>Parameters:</p>\n<p>25 00 0.000 /* 1st standard parallel</p>\n<p>47 00 0.000 /* 2nd standard parallel</p>\n<p>105 00 0.000 /* central meridian</p>\n<p>0 0 0.000 /* latitude of projection's origin</p>\n<p>0.00000 /* false easting (meters)</p>\n<p>0.00000 /* false northing (meters)</p>",
            "ds_time_res": "",
            "ds_acq_place": "China",
            "ds_space_res": "",
            "ds_projection": "Albers",
            "ds_process_way": "<p>Clip, combine</p>",
            "ds_ref_instruction": "In order to respect intellectual property rights, protect the rights and interests of data authors, expand the services of data centers, and evaluate the application potential of data, data users are requested to clearly indicate the data source and data authors in the research results (including published papers, works, data products and unpublished research reports, data products, etc.) produced by using data. For data reprinted (secondary or multiple releases), the author must also indicate the source of the original data."
        }
    },
    "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,
    "ds_topic_tags": [
        "土地覆被",
        "土地利用",
        "基础地理"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中国"
    ],
    "ds_time_tags": [
        2000
    ],
    "ds_contributors": [
        {
            "true_name": "冉有华",
            "email": "ranyh@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "吴立宗",
            "email": "wulizong@pric.org.cn",
            "work_for": "国家极地科学数据中心",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "冉有华",
            "email": "ranyh@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "category": "基础地理"
}