{
    "created": "2019-01-21 08:20:33",
    "updated": "2026-04-05 15:10:31",
    "id": "54477a76-6108-4703-8077-34c0a8d8cfaf",
    "version": 2,
    "ds_topic": "a9243521-7a33-4a8a-a235-288c1f4bc8b8",
    "title_cn": "2013-2017年泾河北洛河上游国家级重点治理区土地利用统计表数据集",
    "title_en": "Data set of land use statistical table of national key governance area in the upper reaches of Luohe River in Hebei Province, 2013-2017",
    "ds_abstract": "<p>泾河北洛河上游国家级重点治理区土地利用图数据集包括陕西省吴起县、陕西省志丹县、宁夏回族自治区彭阳县和宁夏回族自治区原州区等区域2013年、2014年、2015年、2016年和2017年的土地利用，保存格式为xlsx，数据命名采用“所属重点治理区＋行政区＋年份＋土地利用统计表”的形式，如“××重点治理区××县××年土地利用统计表”。土地利用的分类系统包括8个一级类、22个二级类和2个三级类。</p>",
    "ds_source": "<p>数据源为资源三号和高分一号卫星遥感影像，空间分辨率为2m，主要由水利部信息中心提供。</p>",
    "ds_process_way": "<p>基于eCognition软件平台，采用面向对象计算机自动分类与人工目视解译相结合的方法，提取研究区逐年土地利用数据。然后采用三种方法对数据精度进行验证：野外样本点调查、高分辨率影像识别和Google Earth的样本点识别。最后根据土地利用分类标准，统计得到土地利用统计表。</p>",
    "ds_quality": "<p>遥感影像均经过辐射纠正、正射纠正以及融合、镶嵌等预处理。\n最小图斑面积对应的实际地物面积不小于0.1hm2，多边形无重叠、无空隙，图斑属性无空置或冗余。\n遥感影像解译前，采用遥感影像、典型调查、与实地对照的方法建立土地利用遥感解译标志。\n基于遥感影像，结合解译标志，提取土地利用类型。\n解译结果复查：抽取不少于总图斑的5%进行核查。\n野外验证样本数量和成果满足《水土保持遥感监测技术规范》（SL592-2012）的要求，对于核查图斑，抽取10%作为验证样本进行实地验证。</p>",
    "ds_acq_start_time": "2013-01-01 00:00:00",
    "ds_acq_end_time": "2017-12-31 00:00:00",
    "ds_acq_place": "泾河北洛河上游国家级重点治理区",
    "ds_acq_lon_east": 109.06,
    "ds_acq_lat_south": 35.69222222222222,
    "ds_acq_lon_west": 105.96194444444444,
    "ds_acq_lat_north": 37.41972222222222,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 0,
    "ds_files_count": 1,
    "ds_format": "xlsx",
    "ds_space_res": null,
    "ds_time_res": "年",
    "ds_coordinate": "CGCS2000",
    "ds_projection": "",
    "ds_thumbnail": "54477a76-6108-4703-8077-34c0a8d8cfaf.jpg",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "18fc6591-ef53-4202-bc01-c3961ad212d2",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [],
    "quality_level": 3,
    "publish_time": "2021-01-29 09:17:27",
    "last_updated": "2025-10-15 14:49:52",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.HHSTBC.2020.161",
    "license": null,
    "i18n": {
        "en": {
            "title": "Data set of land use statistical table of national key governance area in the upper reaches of Luohe River in Hebei Province, 2013-2017",
            "ds_format": "",
            "ds_source": "<p>The data sources are the remote sensing images of ZY-3 and GF-1 with a spatial resolution of 2m, which are mainly provided by the information center of the Ministry of water resources. </p>",
            "ds_quality": "",
            "ds_ref_way": "",
            "ds_abstract": "<p>The data set of land use map in the upper reaches of Luohe River in Jingbei province includes Wuqi County of Shaanxi Province, Zhidan County of Shaanxi Province, Pengyang County of Ningxia Hui Autonomous Region and Yuanzhou District of Ningxia Hui Autonomous Region in 2013, 2014, 2015, 2016 and 2017. The format of preservation is xlsx, and the data is named as \"key governance area + administrative region + year + soil\" The form of \"statistical table of land use\", such as \"statistical table of land use of ×× key management area ×× County ×× year\". The classification system of land use includes 8 first class, 22 second class and 2 third class. </p>",
            "ds_time_res": "年",
            "ds_acq_place": "National key treatment area in the upper reaches of Luohe River in Hebei Province",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>Based on ecognition software platform, the method of combining object-oriented computer automatic classification with manual visual interpretation was used to extract the annual land use data of the study area. Then three methods are used to verify the accuracy of the data: field survey, high-resolution image recognition and Google Earth sample point recognition. Finally, according to the classification standard of land use, the statistical table of land use is obtained. </p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "志丹县土地利用图",
        "泾河北洛河土地利用",
        "彭阳县土地利用图",
        "原州区土地利用图，吴起县土地利用图"
    ],
    "ds_subject_tags": [],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "宁夏回族自治区",
        "彭阳县",
        "志丹县",
        "吴起县",
        "原州区",
        "陕西省"
    ],
    "ds_time_tags": [
        2013,
        2014,
        2015,
        2016,
        2017
    ],
    "ds_contributors": [
        {
            "true_name": "黄河流域水土保持生态环境监测中心",
            "email": "1283337@qq.com",
            "work_for": "黄河流域水土保持生态环境监测中心",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "黄河流域水土保持生态环境监测中心",
            "email": "szyjdata@163.com",
            "work_for": "黄河流域水土保持生态环境监测中心",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "黄河流域水土保持生态环境监测中心",
            "email": "szyjdata@163.com",
            "work_for": "黄河流域水土保持生态环境监测中心",
            "country": "中国"
        }
    ],
    "category": "水土保持"
}