多时相冰川编目提供有关冰川及其特征和变化的关键信息，对于冰川建模和调查基于大地测量法的物质变化是不可避免的。然而，迄今为止，整个喀喇昆仑山没有一致的多时相冰川编目，这对监测冰川几何参数的时空变化及其相关应用产生了不利影响。我们采用半自动的方法，即结合波段阈值法和人工修正，基于Landsat历史卫星影像汇编了喀喇昆仑山1990~2020年间4个时期（1990s, 2000s, 2010s, 2020s）的冰川编目（以下简称KGI）。KGI的数据质量得到了高分辨率图像多次解译结果的验证、缓冲区误差估计方法评价和多个已有编目的对比评估，总体的不确定性为±3.68%。冰川编目一共赋予了20多个冰川属性，包括冰川编码、面积、地形信息和表面类型等。数据以GIS矢量的格式存储，每个时期的数据包括一个完整的冰川边界矢量和表碛范围矢量。这些KGI数据将为冰川研究和相关应用提供重要的基线数据。
", "ds_source": "冰川编目数据的生产使用了30m空间分辨率的65景Landsat TM影像，39景ETM+影像和82景OLI影像；在冰川编目精度的评估中使用了几景Sentinel-2 10米分辨率的影像和2m分辨率的Plante影像。
", "ds_process_way": "数据的加工采用波段阈值法和人工修订相结合的半自动的方法，包括冰川边界的初步提取、人工修正、冰川切分、属性赋值和不确定性评估等环节。详细见数据说明文档。
", "ds_quality": "多时期冰川编目的精度为±3.68%
", "ds_acq_start_time": "1990-07-01 00:00:00", "ds_acq_end_time": "2020-10-01 00:00:00", "ds_acq_place": "喀喇昆仑山", "ds_acq_lon_east": 80.35916666666667, "ds_acq_lat_south": 33.63305555555556, "ds_acq_lon_west": 73.86999999999999, "ds_acq_lat_north": 37.439166666666665, "ds_acq_alt_low": 1300.0, "ds_acq_alt_high": 8600.0, "ds_share_type": "login-access", "ds_total_size": 182244451, "ds_files_count": 4, "ds_format": "Geopackage", "ds_space_res": "30米", "ds_time_res": "10 年", "ds_coordinate": "WGS84", "ds_projection": "无", "ds_thumbnail": "5bcfea90-e6be-4bf1-bdec-c749cd1f276f.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "李红星", "ds_serv_phone": "09314967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.glacier.db2386.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-08-01 16:01:47", "last_updated": "2023-06-13 17:43:48", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.db2386.2022", "i18n": { "en": { "title": "Interdecadal glacier inventories in the Karakoram since the 1990s", "ds_format": "Geopackage", "ds_source": "We selected Level 1 terrain-corrected products of the Landsat TM/ETM+/OLI scenes (L1TP) representing the years 1990~2020, including 65 TM images, 39 ETM+ images and 82 OLI images; several Sentinel-2 10 meter resolution images and 2 m resolution Planet images are used in estimation of the uncertainty of glacier inventory accuracy.
", "ds_quality": "The glacier inventory is sufficiently accurate, with an overall mapping error of ±3.68%.
", "ds_ref_way": "", "ds_abstract": "Multi-temporal glacier inventories provide key information about the glaciers, their characteristics and changes and are inevitable for glacier modelling and investigating geodetic mass changes. However, to date, no consistent multi-tempo glacier inventory for the whole of the Karakoram exists, negatively affecting the monitoring of spatiotemporal variations of glaciers’ geometric parameters and their related applications. We used a semi-automatic method by combining automatic segmentation and manual correction and produced multi-temporal Karakoram glacier inventories (KGI) for 1990s, 2000s, 2010s, and 2020s, compiled from Landsat TM/ETM+/OLI images. Our assessments using independent multiple digitization of 37 glaciers show that the KGI is sufficiently accurate, with an overall uncertainty of ±3.68%. We attached more than 20 attributes for each analyzed glacier, including glacier ID, area, topographical information and surface types. The data are provided as ESRI Shapefile files with detailed attributes. The KGI data in this study can provide basic glacier outlines for GLIMS and the forthcoming planned release of the next versions of the RGI, as well as for other glacier-related research applications.
", "ds_time_res": "10 年", "ds_acq_place": "Multi-temporal glacier inventory from Remote sensing data in Karakoram mountians, western Tibetan", "ds_space_res": "30米", "ds_projection": "", "ds_process_way": "The data are processed by the combination of band threshold method and manual correction, including preliminary extraction of glacier boundary, manual correction, ice divides, attribute assignment and uncertainty evaluation. See the data description document for details.
", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "冰川编目" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "喀喇昆仑山" ], "ds_time_tags": [ 1990, 2000, 2010, 2020 ], "ds_contributors": [ { "true_name": "谢福明", "email": "xfm@mail.ynu.edu.cn", "work_for": "云南大学国际河流与生态安全研究院", "country": "中国" }, { "true_name": "刘时银", "email": "liusy@lzb.ac.cn", "work_for": "云南大学国际河流与生态安全研究院", "country": "中国" }, { "true_name": "段仕美", "email": "shimei.duan@mail.ynu.edu.cn", "work_for": "云南大学国际河流与生态安全研究院", "country": "中国" }, { "true_name": "缪文飞", "email": "wenfei.miao@mail.ynu.edu.cn", "work_for": "云南大学国际河流与生态安全研究院", "country": "中国" }, { "true_name": "潘兮然", "email": "panxr@mail.ynu.edu.cn", "work_for": "云南大学国际河流与生态安全研究院", "country": "中国" }, { "true_name": "秦彩霞", "email": "caixiaqin@mail.ynu.edu.cn", "work_for": "云南大学国际河流与生态安全研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "谢福明", "email": "xfm@mail.ynu.edu.cn", "work_for": "云南大学国际河流与生态安全研究院", "country": "中国" }, { "true_name": "刘时银", "email": "liusy@lzb.ac.cn", "work_for": "云南大学国际河流与生态安全研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "谢福明", "email": "xfm@mail.ynu.edu.cn", "work_for": "云南大学国际河流与生态安全研究院", "country": "中国" } ], "category": "冰川" }