{
    "created": "2018-04-19 07:48:51",
    "updated": "2026-05-09 02:43:37",
    "id": "dbed4a37-c776-4e5b-bd90-fe1c3e6c6b3a",
    "version": 2,
    "ds_topic": "a461a876-1939-4b9a-9d08-29cc653fb3b8",
    "title_cn": "中巴经济走廊地表覆盖数据产品（2015,2017年）",
    "title_en": "China-Pakistan Economic Corridor Land Cover",
    "ds_abstract": "<p>本数据集为中巴经济走廊区域2015年和2017年的地表覆盖信息，其中2017年中巴经济走廊地表覆盖数据产品空间分辨率为0.009°，2015年的数据空间分辨率为0.01°，该数据可为中巴经济走廊生态环境演变分析与模拟提供基础数据资料。</p>\n\n<p>数据集中地物覆盖类型编码为：</p>\n\n<p>0为无效值/缺省值(NaN)</p>\n\n<p>1:农田(Cropland)</p>\n\n<p>2:森林(Forest)</p>\n\n<p>3:草地(Grassland)</p>\n\n<p>4:灌丛(Shrubland)</p>\n\n<p>5:湿地(Wetland)</p>\n\n<p>6:水体(Water)</p>\n\n<p>7:苔原(Tundra)</p>\n\n<p>8:不透水地表(Impervious surface)</p>\n\n<p>9:裸土(Bareland)</p>\n\n<p>10:冰雪(Snow/Ice)。</p>",
    "ds_source": "<p>Landsat 8 OLI数据，2015年的全球30米地表覆盖制图(FROM-GLC30) 与2017年的全球10米地表覆盖制图(FROM-GLC10)</p>",
    "ds_process_way": "<p>以FROM-GLC产品为数据源，首先对中巴经济走廊范围内的FROM-GLC数据进行人工复核校正，其次对数据集进行拼接,裁剪，然后按照像元面积占优法进行重采样，最后对每个地物类型进行编码。</p>",
    "ds_quality": "<p>本数据集的时空精度与原始数据基本保持一致，整体质量良好，适宜于区域环境演变分析与研究。</p>",
    "ds_acq_start_time": "2015-01-01 00:00:00",
    "ds_acq_end_time": "2017-12-31 00:00:00",
    "ds_acq_place": "中巴经济走廊区域",
    "ds_acq_lon_east": 79.86666666666666,
    "ds_acq_lat_south": 23.75,
    "ds_acq_lon_west": 60.86638888888889,
    "ds_acq_lat_north": 41.416666666666664,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 629372,
    "ds_files_count": 2,
    "ds_format": "Geotiff",
    "ds_space_res": "30.0m",
    "ds_time_res": "年",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "dbed4a37-c776-4e5b-bd90-fe1c3e6c6b3a.jpg",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "None",
    "ds_from_station": null,
    "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "myf@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [],
    "quality_level": 3,
    "publish_time": "2020-03-26 15:36:19",
    "last_updated": "2024-12-13 09:11:17",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.nieer.2020.1321",
    "i18n": {
        "en": {
            "title": "China-Pakistan Economic Corridor Land Cover",
            "ds_format": "",
            "ds_source": "<p>Landsat 8 oli data, from-glc30 in 2015 and from-glc10 in 2017</p>",
            "ds_quality": "<p>The spatial-temporal accuracy of this data set is basically consistent with the original data, and the overall quality is good, which is suitable for the analysis and research of regional environmental evolution. </p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>This data set is the surface coverage information of China Pakistan Economic Corridor in 2015 and 2017. In 2017, the spatial resolution of the surface coverage data product of China Pakistan Economic Corridor is 0.009 ° and that of 2015 is 0.01 °. This data can provide basic data for the analysis and Simulation of the ecological environment evolution of China Pakistan Economic Corridor. </p>\n<p>The figure coverage type code in the dataset is:</p>\n<p>0 is invalid / default (Nan)</p>\n<p>1: Cropland</p>\n<p>2: Forest</p>\n<p>3: Grassland</p>\n<p>4: Shrubland</p>\n<p>5: Wetland</p>\n<p>6: Water</p>\n<p>7: Tundra</p>\n<p>8: Impervious surface</p>\n<p>9: Bare soil (bareland)</p>\n<p>10: Snow / ice. </p>",
            "ds_time_res": "年",
            "ds_acq_place": "",
            "ds_space_res": "30.0m",
            "ds_projection": "",
            "ds_process_way": "<p>Taking the from-glc product as the data source, first of all, the from-glc data within the China Pakistan Economic Corridor is manually reviewed and corrected, then the data set is spliced and cropped, then resampled according to the pixel area dominance method, and finally each feature type is coded. </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": "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": [
        "地表覆盖"
    ],
    "ds_subject_tags": [],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中巴经济走廊区域"
    ],
    "ds_time_tags": [
        2015,
        2017
    ],
    "ds_contributors": [
        {
            "true_name": "赵国辉",
            "email": "zhgh@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": "赵国辉",
            "email": "zhgh@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_managers": [
        {
            "true_name": "赵国辉",
            "email": "zhgh@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": "张名成",
            "email": "164022321@qq.com",
            "work_for": "国家冰川冻土沙漠科学数据中心",
            "country": "中国"
        }
    ],
    "category": "生态"
}