{
    "created": "2020-11-13 07:09:36",
    "updated": "2026-04-27 13:41:59",
    "id": "0c6acbb4-fbe1-443f-afb2-1e2c1be586b7",
    "version": 2,
    "ds_topic": null,
    "title_cn": "2018年甘青宁黄土丘陵国家级水土流失重点治理区林草植被覆盖度统计表数据集",
    "title_en": "Statistical table data set of forest and grass vegetation coverage in Gansu Qinghai Ningxia Loess Hilly national key control area in 2018",
    "ds_abstract": "<p>2018年甘青宁黄土丘陵国家级水土流失重点治理区林草植被覆盖度统计表数据集包括青海省城东区、城中区、城西区、城北区、大通回族土族自治县、湟中县、湟源县、乐都县、平安县、民和回族土族自治县、互助土族自治县、化隆回族自治县、循化撒拉族自治县、尖扎县、贵德县，宁夏回族自治区同心县、原州区、西吉县、彭阳县、海原县2018年的林草植被覆盖度统计表，基于空间分辨率为2米的卫星遥感影像加工获得，保存格式为xlsx，数据命名采用“所属重点治理区＋年份＋林草植被覆盖度统计表”的形式，如“××重点治理区××年林草植被覆盖度统计表”。植被覆盖度划分为高覆盖度、中高覆盖度、中覆盖度、中低覆盖度、低覆盖度5级。</p>",
    "ds_source": "<p>数据源为资源三号和高分一号卫星影像，主要从水利部信息中心获取。</p>",
    "ds_process_way": "<p>基于遥感估算的方法，利用归一化植被指数（NDVI）采用像元二分模型法进行植被盖度估算，方法是首先利用多光谱影像的近红外波段与红波段数据计算每个像元的NDVI，然后使用模型计算整个区域植被覆盖度。再将该区域遥感解译得到的土地利用类型数据和基于遥感估算得到的植被覆盖度数据做叠加运算，获得每个像元的植被覆盖度信息。最后根据划分规则对植被覆盖度进行等级划分，统计得到林草植被覆盖度统计表。</p>",
    "ds_quality": "<p>1．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。 2．最小图斑面积对应的实际地物面积不小于0.1h㎡，多边形无重叠、无空隙，图斑属性无空置或冗余。 3．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林草样地遥感解译标志。 4．基于遥感影像，结合解译标志，提取土地利用类型。 5．解译结果复查：抽取不少于总图斑的5%进行核查。 6．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": "2018-01-01 00:00:00",
    "ds_acq_end_time": "2018-12-31 00:00:00",
    "ds_acq_place": "甘青宁黄土丘陵国家级水土流失重点治理区",
    "ds_acq_lon_east": null,
    "ds_acq_lat_south": null,
    "ds_acq_lon_west": null,
    "ds_acq_lat_north": null,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 235292,
    "ds_files_count": 2,
    "ds_format": "",
    "ds_space_res": "2.0m",
    "ds_time_res": "年",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "0c6acbb4-fbe1-443f-afb2-1e2c1be586b7.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": "2021-02-01 10:26:06",
    "last_updated": "2025-10-15 14:50:21",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.HHSTBC.2020.223",
    "i18n": {
        "en": {
            "title": "Statistical table data set of forest and grass vegetation coverage in Gansu Qinghai Ningxia Loess Hilly national key control area in 2018",
            "ds_format": "",
            "ds_source": "",
            "ds_quality": "",
            "ds_ref_way": "",
            "ds_abstract": "<p>The data of soil and water loss in 2018 include soil and water conservation data of Huangtu autonomous region, Huangtu autonomous region, Huangtu County, Huangtu autonomous region, Huangtu County, Huangtu County, Huangtu County, Huangtu County, Huidong County, Huicheng County, etc The statistical tables of forest and grass vegetation coverage of Tongxin County, Yuanzhou District, Xiji County, Pengyang County and Haiyuan County of Ningxia Hui Autonomous Region in 2018 are obtained based on the processing of satellite remote sensing images with a spatial resolution of 2 meters, and the format is xlsx. The data is named in the form of \"key governance area + year + forest and grass vegetation coverage statistics table\", such as \"×× key points\" Statistical table of vegetation coverage of forest and grass in the control area in ×× \". The vegetation coverage is divided into five levels: high coverage, medium and high coverage, medium and low coverage, and low coverage. </p>",
            "ds_time_res": "年",
            "ds_acq_place": "",
            "ds_space_res": "2.0m",
            "ds_projection": "",
            "ds_process_way": "",
            "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,
    "ds_topic_tags": [
        "林草植被覆盖度统计表",
        "高、中高、中、中低、低林草不同覆盖度面积及比例，水力侵蚀区，"
    ],
    "ds_subject_tags": [],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "青海省城东区、城中区、城西区、城北区、大通回族土族自治县、湟中县、湟源县、乐都县、平安县、民和回族土族自治县、互助土族自治县、化隆回族自治县、循化撒拉族自治县、尖扎县、贵德县，宁夏回族自治区同心县、原州区、西吉县、彭阳县、海原县"
    ],
    "ds_time_tags": [
        2018
    ],
    "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"
}