过去五十年，阿拉斯加地区冰川对海平面贡献占全球山地冰川总贡献的三分之一。 在RGI6.0的基础上，我们利用遥感和地理信息系统技术对阿拉斯加地区冰川编目数据进行的了更新。更新的冰川编目采用的数据源为2018年Landsat OLI遥感影像，使用的方法为人工解译。结果显示，阿拉斯加地区冰川编目包括了现有冰川26396条，总面积79716km2。用RGI误差评估方法获得的数据误差4.2%。该数据将为研究全球变化大背景下阿拉斯加地区冰川变化评估、冰川变化的区域和全球影响提供重要的数据支撑。
", "ds_source": "冰川编目数据采用shapefile格式存储，文件的名称为“alaska glacier inventory in 2018.shp。数据来自15m空间分辨率的Landsat 8 OLI
", "ds_process_way": "在RGI6.0的数据基础上，采用目视解译的方法
", "ds_quality": "用RGI误差评估方法获得的数据误差4.2%。
", "ds_acq_start_time": "2019-12-01 00:00:00", "ds_acq_end_time": "2019-12-02 00:00:00", "ds_acq_place": "阿拉斯加", "ds_acq_lon_east": -111.07777777777777, "ds_acq_lat_south": 52.09777777777778, "ds_acq_lon_west": -160.23694444444445, "ds_acq_lat_north": 69.59166666666667, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 56278327, "ds_files_count": 2, "ds_format": "shapefile", "ds_space_res": "15.0m", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "f7bf8652-1c67-4d51-a7db-a9ac69c5d8f5.png", "ds_thumb_from": 0, "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": [ "170.45" ], "quality_level": 3, "publish_time": "2022-07-04 18:57:39", "last_updated": "2022-07-04 18:57:39", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1539", "i18n": { "en": { "title": "An updated ALASKA Glacier Inventory by using Landsat 8 OLI in 2018", "ds_format": "", "ds_source": "Glacier catalog data is stored in ShapeFile format, with the name of \"Alaska glacier inventory in 2018.shp\". Data from Landsat 8 oli with 15m spatial resolution。
", "ds_quality": "The error of data obtained by RGI is 4.2%.
", "ds_ref_way": "", "ds_abstract": "In the past 50 years, glaciers in Alaska have contributed one-third of the global mountain glaciers to sea level.
\nOn the basis of RGI 6.0, we use remote sensing and GIS technology to update the glacier catalogue data in Alaska. The data source of the updated glacier catalogue is the Landsat oli spatial resolution 15m remote sensing image in 2018, and the method used is manual interpretation. The results show that there are 26396 glaciers in Alaska, covering a total area of 79716km2. The error of data obtained by RGI is 4.2%. This data will provide important data support for the study of glacier change assessment, regional and global impacts of glacier change in Alaska under the background of global change.
", "ds_time_res": "年", "ds_acq_place": "", "ds_space_res": "15.0m", "ds_projection": "", "ds_process_way": "Based on the data of rgi6.0, the method of visual interpretation is adopted
", "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": "CC 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": [ "遥感", "阿拉斯加", "冰川编目" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "Alaska" ], "ds_time_tags": [ 2018 ], "ds_contributors": [ { "true_name": "上官冬辉", "email": "dhguan@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "" } ], "ds_meta_authors": [ { "true_name": "上官冬辉", "email": "dhguan@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "" } ], "ds_managers": [ { "true_name": "上官冬辉", "email": "dhguan@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "" } ], "category": "冰川" }