{
    "created": "2019-10-11 10:29:35",
    "updated": "2026-04-14 23:14:00",
    "id": "fb82482c-d594-46ea-bd60-92272487cb5e",
    "version": null,
    "ds_topic": null,
    "title_cn": "中国1:10万沙漠(沙地)分布数据集",
    "title_en": "1:100000 desert (sand) distribution data set in China",
    "ds_abstract": "<p>该数据集是将沙漠专题地图的图形数据建立的我国第一个1∶10万沙漠空间数据库，重点反映我国沙漠的地理分布、面积大小、沙丘的流动性与固定程度。按照系统设计要求及有关标准，将输入数据进行标准化，统一转换为各类数据输入的标准格式。建库以交付系统运行。</p>\n\n<p>本项目以2000年的TM影像为信息源，在全国土地利用现状图的Coverage和2000年TM数字影像信息，进行解译、提取、修编，利用遥感与地理信息系统技术结合以1：10万比例尺专题图成图要求，对我国的沙漠、沙地和砾质戈壁进行了专题制图。1∶10万全国沙漠分布图可以使用户在从事资源与环境的研究工作时节省大量的数据录入和编辑工作。数字地图能非常方便地转化为版式地图</p>\n\n<p>数据集属性如下：</p>\n\n<p>分为e00和shp两个文件夹：</p>\n\n<p>文件夹内各省沙漠分布图名称与省份对照表</p>\n\n<p>01 Ahsm 安徽省</p>\n\n<p>02 Bjsm 北京市</p>\n\n<p>03 Fjsm 福建省</p>\n\n<p>04 Gdsm 广东省</p>\n\n<p>05 Gssm 甘肃省</p>\n\n<p>06 Gxsm 广西壮族自治区</p>\n\n<p>07 Gzsm 贵州省</p>\n\n<p>08 Hebsm 河北省</p>\n\n<p>09 Hensm 河南省</p>\n\n<p>10 Hljsm 黑龙江省</p>\n\n<p>11 Hndsm 海南省</p>\n\n<p>12 Hubsm 湖北省</p>\n\n<p>13 Jlsm 吉林省</p>\n\n<p>14 Jssm 江苏省</p>\n\n<p>15 Jxsm 江西省</p>\n\n<p>16 Lnsm 辽宁省</p>\n\n<p>17 Nmsm 内蒙固自治区</p>\n\n<p>18 Nxsm 宁夏回族自治区</p>\n\n<p>19 Qhsm 青海省</p>\n\n<p>20 Scsm 四川省</p>\n\n<p>21 Sdsm 山东省</p>\n\n<p>22 Sxsm 陕西省</p>\n\n<p>23 Tjsm 天津市</p>\n\n<p>24 Twsm 台湾省</p>\n\n<p>25 Xjsm 新疆维吾尔自治区</p>\n\n<p>26 Xzsm 西藏自治区</p>\n\n<p>27 Zjsm 浙江省</p>\n\n<p>28 Shxsm 山西省</p>\n\n<p>1、数据投影：</p>\n\n<p>Projection: Albers</p>\n\n<p>False_Easting: 0.000000</p>\n\n<p>False_Northing: 0.000000</p>\n\n<p>Central_Meridian: 105.000000</p>\n\n<p>Standard_Parallel_1: 25.000000</p>\n\n<p>Standard_Parallel_2: 47.000000</p>\n\n<p>Latitude_Of_Origin: 0.000000</p>\n\n<p>Linear Unit: Meter (1.000000)</p>\n\n<p>2、数据属性表：area（面积）</p>\n\n<p>perimeter（周长）</p>\n\n<p>ashm_(序列码）</p>\n\n<p>class（沙漠编码）</p>\n\n<p>ashm_id（沙漠编码）</p>\n\n<p>3、沙漠编码：流动沙地 2341010</p>\n\n<p>半流动沙地 2341020</p>\n\n<p>半固定沙地 2341030</p>\n\n<p>戈壁 2342000</p>\n\n<p>盐碱地 2343000</p>\n\n<p>4：文件格式：全国、分省及县级沙漠图的数据类型为矢量型的shapefile和E00</p>\n\n<p>5：文件命名： 基于国家基本资源与环境遥感动态信息服务系统数据组织在Windows NT的文件管理层面上进行，文件和目录名采用英文字和数字的复合名称，分省沙漠图以省、区名拼音+SM构成，如甘肃省沙漠分布图即为GSSM。旗、县沙漠图为省区名拼音+xxxx，xxxx为旗、县代码后四位数值，如兰州沙漠图命名为GS0101。省、区和旗、县的分幅切割以国家级基本资源与环境遥感动态信息服务运行系统中的行政区划数据文件为据。</p>",
    "ds_source": "<p>2000年的TM影像</p>",
    "ds_process_way": "<p>在全国土地利用现状图的Coverage和2000年TM数字影像信息，进行解译、提取、修编，利用遥感与地理信息系统技术结合以1：10万比例尺专题图成图要求，对我国的沙漠、沙地和砾质戈壁进行了专题制图</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": null,
    "ds_acq_place": "中国",
    "ds_acq_lon_east": 135.5,
    "ds_acq_lat_south": 17.766666666666666,
    "ds_acq_lon_west": 73.19972222222222,
    "ds_acq_lat_north": 53.86666666666667,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 358250183,
    "ds_files_count": 3,
    "ds_format": "矢量",
    "ds_space_res": "1000.0m",
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "ALBERS",
    "ds_thumbnail": "fb82482c-d594-46ea-bd60-92272487cb5e.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "颜长珍, 王建华 ，中国1:10万沙漠(沙地)分布数据集，国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2019，doi：10.12072/ncdc.Westdc.db0027.2021",
    "paper_ref_way": null,
    "ds_ref_instruction": null,
    "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": null,
    "quality_level": 3,
    "publish_time": "2021-10-29 21:19:43",
    "last_updated": "2021-10-29 21:19:43",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.Westdc.2020.676",
    "i18n": {
        "en": {
            "title": "1:100000 desert (sand) distribution data set in China",
            "ds_format": "",
            "ds_source": "<p>2000 TM image</p>",
            "ds_quality": "<p>Data set quality control through strict manual audit</p>",
            "ds_ref_way": "<p>Wang Yimou, Wang Jianhua, Qi Yuan, Yan Changzhen. China's 1:100000 desert (sand) distribution data set. Scientific data center in cold and dry areas, 2005. Doi: 10.3972/westdc.006.2013.db (download and reference: RIS format | RIS format | BibTex format | BibTex format)</p>",
            "ds_abstract": "<p>The data set is the first 1:100000 desert spatial database in China, which is based on the graph data of desert thematic map. It mainly reflects the geographical distribution, area size, mobility and fixation degree of deserts in China. According to the system design requirements and relevant standards, the input data shall be standardized and converted into the standard format of all kinds of data input. Build the database to deliver the system to run. </p>\n<p>In this project, TM image in 2000 is used as the information source to interpret, extract and edit the coverage and 2000 TM digital image information of the national land use status map. In combination with remote sensing and geographic information system technology, and according to the mapping requirements of 1:100000 scale thematic map, thematic mapping of sand, sand and Gravel Gobi in China is carried out. The 1:100000 national desert map can save a lot of data input and editing when users are engaged in the research of resources and environment. Digital map can be easily transformed into layout map</p>\n<p>The dataset properties are as follows:</p>\n<p>There are two folders: E00 and SHP</p>\n<p>Comparison table of desert map names and provinces in the folder</p>\n<p>01 ahsm Anhui Province</p>\n<p>02 BJSM Beijing</p>\n<p>03 fjsm Fujian Province</p>\n<p>04 gdsm Guangdong Province</p>\n<p>05 GSSM Gansu Province</p>\n<p>06 gxsm Guangxi Zhuang Autonomous Region</p>\n<p>07 gzsm Guizhou Province</p>\n<p>08 hebsm Hebei Province</p>\n<p>09 hensm Henan Province</p>\n<p>10 hljsm Heilongjiang Province</p>\n<p>11 hndsm Hainan Province</p>\n<p>12 hubsm Hubei Province</p>\n<p>13 jlsm Jilin Province</p>\n<p>14 JSSM Jiangsu Province</p>\n<p>15 jxsm Jiangxi Province</p>\n<p>16 lnsm Liaoning Province</p>\n<p>17 nmsm Inner Mongolia Autonomous Region</p>\n<p>18 nxsm Ningxia Hui Autonomous Region</p>\n<p>19 qhsm Qinghai Province</p>\n<p>20 SCSM Sichuan Province</p>\n<p>21 SDSM Shandong Province</p>\n<p>22 sxsm Shaanxi Province</p>\n<p>23 tjsm Tianjin</p>\n<p>24 twsm Taiwan</p>\n<p>25 xjsm Xinjiang Uygur Autonomous Region</p>\n<p>26 xzsm Tibet Autonomous Region</p>\n<p>27 zjsm Zhejiang Province</p>\n<p>28 shxsm Shanxi Province</p>\n<p>1. Data projection:</p>\n<p>Projection: Albers</p>\n<p>False_Easting: 0.000000</p>\n<p>False_Northing: 0.000000</p>\n<p>Central_Meridian: 105.000000</p>\n<p>Standard_Parallel_1: 25.000000</p>\n<p>Standard_Parallel_2: 47.000000</p>\n<p>Latitude_Of_Origin: 0.000000</p>\n<p>Linear Unit: Meter (1.000000)</p>\n<p>2. Data property sheet: Area</p>\n<p>Perimeter (perimeter)</p>\n<p>Ashm</p>\n<p>Class (desert code)</p>\n<p>Ashm? ID (desert code)</p>\n<p>3. Desert Code: mobile sand 2341010</p>\n<p>Semi mobile sand 2341020</p>\n<p>Semi fixed sand 2341030</p>\n<p>Gobi 234200</p>\n<p>Saline alkali land 2343000</p>\n<p>4: File format: the data types of national, provincial and county-level desert map are vector ShapeFile and E00</p>\n<p>5: File naming: Based on the data organization of the national basic resources and environment remote sensing dynamic information service system, it is carried out at the file management level of Windows NT. The file and directory names adopt the compound names of English words and numbers. The provincial desert map is composed of the provincial and district name Pinyin + SM. For example, the desert distribution map of Gansu Province is GSSM. The desert map of flag and county is the Pinyin of province name + XXXX, XXXX is the last four digits of the code of flag and county, for example, the desert map of Lanzhou is named gs0101. The segmentation of provinces, districts, banners and counties is based on the administrative division data files in the national basic resources and environment remote sensing dynamic information service operation system. </p>",
            "ds_time_res": "",
            "ds_acq_place": "",
            "ds_space_res": "1000.0m",
            "ds_projection": "",
            "ds_process_way": "<p>Based on the coverage of the national land use map and the 2000 TM digital image information, this paper interprets, extracts and revises the map, and uses remote sensing and GIS technology to map the deserts, deserts and Gravel Gobi in China at a scale of 1:100000</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,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "沙地",
        "沙漠"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中国"
    ],
    "ds_time_tags": [
        2000
    ],
    "ds_contributors": [
        {
            "true_name": "颜长珍",
            "email": "yancz@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "王建华 ",
            "email": "jhwang@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": [],
    "ds_managers": [
        {
            "true_name": "颜长珍",
            "email": "yancz@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": "沙漠与荒漠化"
}