本次冰湖编目受到International Centre for Integrated Mountain Development (ICIMOD) and United Nationenvironment Programme/Regional Resourc Centre, Asia and The Pacific (UNEP/RRC-AP) 的联合支持。
\n\n1、冰川编目参照地形图数据,反映了该地区2000年的冰川现状。
\n\n2、冰川编目覆盖： 不丹地区Pa Chu Sub-basin,Mo Chu Sub-basin,Thim Chu Sub-basin,Pho Chu Sub-basin,Mangde Chu Sub-basin, Chamkhar Chu Sub-basin,Kuri Chu Sub-basin,Dangme Chu Sub-basin,Northern Basin等流域
\n\n3、冰川编目内容包括：冰川位置、冰川编码、冰川名称、冰川面积、冰川长度、冰川厚度、冰储量、冰川类型、冰川朝向等属性
\n\n4、数据投影：
\n\nProjection: Polyconic
\n\nEllipsoid: Everest (India 1956)
\n\nDatum: Indian (India, Nepal)
\n\nFalse easting: 2,743,196.4
\n\nFalse northing: 914,398.80
\n\nCentral meridian: 90° 0’ 00” E
\n\nCentral parallel: 26° 0’ 00” N
\n\nScale factor: 0.998786
\n\n数据详细说明请参考文档及报告
", "ds_source": "本次冰湖编目受到International Centre for Integrated Mountain Development (ICIMOD) and United Nationenvironment Programme/Regional Resourc Centre, Asia and The Pacific (UNEP/RRC-AP) 的联合支持。
", "ds_process_way": "仪器自动观测 人工统计数据
", "ds_quality": "数据集通过严格的人工审核控制质量
", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": null, "ds_acq_place": "不丹", "ds_acq_lon_east": 92.19972222222222, "ds_acq_lat_south": 26.5, "ds_acq_lon_west": 88.51666666666667, "ds_acq_lat_north": 28.5, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 6695998, "ds_files_count": 3, "ds_format": "矢量", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "Polyconic", "ds_thumbnail": "78098637-98c1-44f8-98c0-863d4e70b68e.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "1. 为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力，请数据使用者在使用数据所产\r\n生的研究成果中（包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果），明确注明数据来\r\n源和数据作者。对于转载（二次或多次发布）的数据，作者还须注明原始数据来源。中文发表的成果参考以下规范注明：\r\n数据来源于国家自然科学基金委员会\"中国西部环境与生态科学数据中心\"(http://westdc.westgis.ac.cn)英文发表的成\r\n果依据以下规范注明： The data set is provided by Environmental and Ecological Science Data Center for West\r\nChina,National Natural Science Foundation of China (http://westdc.westgis.ac.cn)", "ds_from_station": null, "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e", "ds_serv_man": "李红星 ", "ds_serv_phone": "0931-4967287 ", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-01-11 09:55:24", "last_updated": "2023-08-25 10:51:48", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Westdc.2020.399", "i18n": { "en": { "title": "Glacier inventory dataset of Bhutan", "ds_format": "Vector", "ds_source": "This ice lake cataloging is supported jointly by the International Centre for Integrated Mountain Development (ICIMOD) and the United National Environment Programme/Regional Resource Centre, Asia and The Pacific (UNEP/RRC-AP)
", "ds_quality": "The dataset is controlled for quality through strict manual review
", "ds_ref_way": "", "ds_abstract": "This glacier inventory is supported by the International Centre for Integrated Mountain Development (ICIMOD) and the United Nations Environment Programme/Regional Resource Centre, Asia and The Pacific (UNEP/RRC-AP).
\n1.The glacier inventory incorporates topographic map data, and reflects the status of glaciers in the region in 2000.
\n2.The spatial coverage of the glacier inventory includes the following: Pa Chu Sub-basin,Mo Chu Sub-basin,Thim Chu Sub-basin,Pho Chu Sub-basin,Mangde Chu Sub-basin, Chamkhar Chu Sub-basin,Kuri Chu Sub-basin,Dangme Chu Sub-basin,Northern Basin, etc.
\n3.The glacier inventory includes the following data fields: glacier location, glacier code, glacier name, glacier area, glacier length, glacier thickness, glacier stocks, glacier type, glacier orientation, etc.
\n4.Data projection:
\nProjection: Polyconic
\nEllipsoid: Everest (India 1956)
\nDatum: Indian (India, Nepal)
\nFalse easting: 2,743,196.4
\nFalse northing: 914,398.80
\nCentral meridian: 90°0'00'' E
\nCentral parallel: 26°0'00' N
\nScale factor: 0.998786
\nFor a detailed description of the data, please refer to the data file and report.
", "ds_time_res": "", "ds_acq_place": "Bhutan", "ds_space_res": "", "ds_projection": "Polyconic", "ds_process_way": "Automatic observation of instruments and manual statistical data
", "ds_ref_instruction": "1. 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 invited to use the data\r\nStudents' research results (including published papers, treatises, data products and unpublished research reports, data products, etc.) shall be clearly indicated with data\r\nSource and data author. For data reprinted (secondary or multiple releases), the author must also indicate the source of the original data. The results published in Chinese refer to the following specifications:\r\nThe data comes from the \"Data Center for environmental and Ecological Sciences in Western China\" (http://westdc.westgis.ac.cn) published by the National Natural Science Foundation of China\r\nThe data set is provided by environmental and Ecological Science Data Center for West\r\nChina,National Natural Science Foundation of China (http://westdc.westgis.ac.cn)" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 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": [ "冰川", "冰川编目", "冰川位置", "冰川编码", "冰川名称", "冰川面积", "冰川长度", "冰川厚度", "冰储量", "冰川类型", "冰川朝向" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "不丹" ], "ds_time_tags": [ 2000 ], "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": "吴立宗", "email": "wulizong@pric.org.cn", "work_for": "国家极地科学数据中心", "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": "冰川" }