{
    "created": "2020-01-19 03:21:08",
    "updated": "2026-04-17 11:27:06",
    "id": "480ff59a-58f8-497c-abc1-27b048784169",
    "version": 3,
    "ds_topic": null,
    "title_cn": "环北极多年冻土和地下冰状态图（中国部分）1:100万数据集（90年代）",
    "title_en": "State map of permafrost and ground ice around the Arctic (China part) 1:1 million dataset (1990s)",
    "ds_abstract": "<p>环北极多年冻土和地下冰分布图是1997年国际冻土协会联合多个国家的冻土研究机构编制的目前唯一的一个国际冻土数据图。该冻土图描述了北半球（20°N to 90°N）多年冻土的分布与属性及地下冰条件。</p>\n\n<p>通过连续性划分冻土范围，将多年冻土划分为连续（90-100%）、不连续（50-90%）、零星 （10-50%）、岛状（小于10%）和无多年冻土。最上层20米的地下冰丰度通过冰的体积百分比划分（大于20%, 10-20%, 小于10% 和 0%）</p>\n\n<p>中国多年冻土分布图 属性字段</p>\n\n<p>字段1：NUM_code 冻土编码\n数据类型:Text(4)\n字段2：COMBO 冻土英文属性简称\n数据类型:Text(4)\n字段3：Definition 冻土英文属性\n数据类型:Text(254)</p>",
    "ds_source": "<p>源于1:10000000环北极多年冻土和地下冰状态纸质地图（Brown et al.1993）</p>",
    "ds_process_way": "<p>利用GIS，ENVI等遥感软件，对所需影像及专题图进行精纠正，确保相邻影像的误差小于一个像元，然后经过数字化，严格按照响应比例尺所需提取、整理和修编空间数据和属性数据。</p>",
    "ds_quality": "<p>使用经过扫描精纠正的90年代环北极多年冻土和地下冰状态图纸质地图，加上实地调研采点</p>",
    "ds_acq_start_time": "1990-01-01 00:00:00",
    "ds_acq_end_time": "1999-12-31 00:00:00",
    "ds_acq_place": "环北极中国部分",
    "ds_acq_lon_east": 102.12722222222222,
    "ds_acq_lat_south": 37.74722222222222,
    "ds_acq_lon_west": 97.40972222222223,
    "ds_acq_lat_north": 42.678888888888885,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 996547,
    "ds_files_count": 2,
    "ds_format": "shp",
    "ds_space_res": null,
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "480ff59a-58f8-497c-abc1-27b048784169.jpg",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e",
    "ds_serv_man": "李红星",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 3,
    "publish_time": "2021-01-11 09:17:21",
    "last_updated": "2025-04-29 16:48:52",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.Westdc.2020.786",
    "i18n": {
        "en": {
            "title": "State map of permafrost and ground ice around the Arctic (China part) 1:1 million dataset (1990s)",
            "ds_format": "shp",
            "ds_source": "<p>Derived from a 1:10000000 paper map of permafrost and ground ice status around the Arctic (Brown et al. 1993)</p>",
            "ds_quality": "<p>Based on the scanned maps of permafrost and ground ice conditions around the Arctic in the 1990s, together with field survey and sampling points</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>The distribution map of permafrost and ground ice around the Arctic is the only international permafrost data map compiled by the international Permafrost Association in 1997 in association with permafrost research institutions of many countries. The permafrost map describes the distribution and properties of permafrost in the northern hemisphere (20 ° n to 90 ° n) and the conditions of underground ice. </p>\n<p>Permafrost can be divided into continuous (90-100%), discontinuous (50-90%), sporadic (10-50%), Island (less than 10%) and no permafrost. The underground ice abundance of the top 20 meters is divided by the volume percentage of ice (greater than 20%, 10-20%, less than 10% and 0%)</p>\n<p>Attribute fields of Permafrost Distribution Map in China</p>\n<p>Field 1: num_ Code permafrost code\nData type: text (4)\nField 2: combo attribute abbreviation\nData type: text (4)\nField 3: definition attribute\nData type: text (254)</p>",
            "ds_time_res": "",
            "ds_acq_place": "Circumpolar China",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>Using GIS, ENVI and other remote sensing software, the required images and thematic maps are precisely corrected to ensure that the error of adjacent images is less than one pixel. Then, after digitization, spatial data and attribute data are extracted, sorted and edited in strict accordance with the response scale. </p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "冻土",
        "地下冰",
        "冻土分布",
        "冻土属性"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中国",
        "环北极"
    ],
    "ds_time_tags": [
        2009
    ],
    "ds_contributors": [
        {
            "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_meta_authors": [
        {
            "true_name": "盖春梅",
            "email": "Gechm@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": "李红星",
            "email": "lihongxing@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": "冻土"
}