本数据集由2个子数据集组成，包括中巴经济走廊冻土区和重点区域2013年到2017年各年份的冰川及冰湖分布数据集。研究区空间范围为34°–42°N，73°–82°E，包含了克勒青河、洪扎河、盖孜河及努布拉河等重点流域。研究范围内包含冰川、积雪、水体等多种高寒山区典型地表类型，以冰川和冰湖为目标地物类别进行提取，本数据集中的地物类型和范围采用GCS_WGS_1984投影坐标，文件中包括FID、形状类型（Shape）、GLIMS编码（GLIMS_ID）、冰川名称（Glc_Name）、面积（area）、周长（perimeter）、类别（Class_name）、质心位置坐标（x-coordina、y-coordinate）等信息。以2013–2017年的Landsat 8 OLI遥感影像为数据源，通过面向对象的分类方法，完成中巴经济走廊重点区域冰川及冰湖分类及分布数据集。
", "ds_source": "Landsat 8 OLI遥感影像为数据源
", "ds_process_way": "面向对象的分类方法
", "ds_quality": "面向对象的分类方法对冰川、水体的分类精度较高，满足用户对Landsat遥感影像自动解译的需求，总体分类精度0.9072165，Kappa系数0.8088042，在Landsat 8遥感影像的地物分类过程中适用性较好。
", "ds_acq_start_time": "2013-01-01 00:00:00", "ds_acq_end_time": "2017-12-31 00:00:00", "ds_acq_place": "中巴经济走廊周边绝大部分冰川分布区", "ds_acq_lon_east": 82.0, "ds_acq_lat_south": 34.0, "ds_acq_lon_west": 73.0, "ds_acq_lat_north": 42.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 300433153, "ds_files_count": 4, "ds_format": "shp", "ds_space_res": "30.0m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "4dbe5611-6203-454d-956c-7b716de0f68d.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": [ "170.4510" ], "quality_level": 3, "publish_time": "2020-12-18 17:37:52", "last_updated": "2023-08-31 11:53:09", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1361", "i18n": { "en": { "title": "Data set of glacier and ice lake distribution in key areas of China-Pakistan Economic Corridor (2013-2017)", "ds_format": "Shapefile", "ds_source": "Landsat 8 OLI remote sensing images as the data source
", "ds_quality": "The classification accuracy of the object-oriented classification method for glaciers and water bodies is high, which can meet the needs of users for automatic interpretation of Landsat remote sensing images. The overall classification accuracy is 0.9072165, and the kappa coefficient is 0.8088042, which is suitable for the classification of Landsat 8 remote sensing images.
", "ds_ref_way": "", "ds_abstract": "This data set is composed of two sub datasets, including the distribution data sets of glaciers and ice lakes in permafrost areas and key areas of China-Pakistan Economic Corridor from 2013 to 2017. The spatial range of the study area is 34 ° – 42 ° n, 73 ° – 82 ° e, including the key watersheds of kelqing River, Hongzha River, Gaizi River and nubula river. The research area includes glacier, snow, water and other typical surface types in alpine mountain area. Glacier and ice lake are selected as the target feature categories for extraction. GCS is used for the feature types and scope in this data set_ WGS_ 1984 projection coordinates, including FID, shape type (shape), glims code (glims)_ ID), glacier name (GLC)_ Name, area, perimeter and class_ Name), x-coordinate, y-coordinate, etc. Based on the Landsat 8 oli remote sensing images from 2013 to 2017 as the data source, the classification and distribution data set of glaciers and ice lakes in key areas of China Pakistan Economic Corridor are completed by object-oriented classification method.
", "ds_time_res": "", "ds_acq_place": "Most of the glacier distribution areas around the China-Pakistan Economic Corridor", "ds_space_res": "30.0m", "ds_projection": "", "ds_process_way": "Object-oriented classification method
", "ds_ref_instruction": "None" } }, "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": [ "冰川", "面向对象", "中巴经济走廊", "冰湖" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中巴经济走廊重点区域" ], "ds_time_tags": [ 2013, 2014, 2015, 2016, 2017 ], "ds_contributors": [ { "true_name": "任彦润", "email": "renyr@lzb.ac.cn", "work_for": "中科院西北研究院", "country": "中国" }, { "true_name": "康建芳", "email": "kangjf@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": "张耀南", "email": "yaonan@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": "任彦润", "email": "renyr@lzb.ac.cn", "work_for": "中科院西北研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "康建芳", "email": "kangjf@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": "任彦润", "email": "renyr@lzb.ac.cn", "work_for": "中科院西北研究院", "country": "中国" } ], "category": "冰川" }