本数据集为2005年印度河流域1:10万冰湖数据，根据2005年ETM遥感影像，参考Spot及GeoEye-1等高分辨率影像采集而来，数据集为印度河流域10万流域边界、冰湖、河流数据空间及属性数据，包括以下文件：Indus_Boundary,Indus_Glacical_Lakes，Indus_Rivers。
\n\na. 名称解释\n字段1：Basin_Code(流域名称)\n数据类型：String（254）\n字段2：gl_coad（冰湖编码）\n数据类型：String（254）\n字段3：Longitude（冰湖经度）\n数据类型：String（254）\n字段4：longitude (冰湖纬度)\n数据类型：String（254）\n字段5：altitude（高程点）\n数据类型：Number（19）\n字段6：gl_area（冰湖面积）\n数据类型：Number（19）\n字段7：gl_Length(冰湖长度)\n数据类型：Number（19）\n字段8：gl_class（冰湖等级）\n数据类型：String（254）\n字段9：datasource (影像)\n数据类型：String（254）\n字段10：gl_orient (冰湖朝向)\n数据类型：String（254）\n字段11：dist2gr (冰湖到冰川的距离)\n数据类型：Number（19）\n字段12：Ds_date1 (影像时间)\n数据类型：Date（8）
\n\nb. 量纲（度量单位）\ngl_Length(冰湖长度)：公里；gl_area（冰湖面积）：平方公里；dist2gr (冰湖到冰川的距离)：公里
", "ds_source": "Landsat TM/ETM,Spot、GeoEye-1遥感影像，地形图等
", "ds_process_way": "利用GIS，ENVI等遥感软件，对所需影像进行精纠正，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10万比例尺所需提取、整理和修编空间数据和属性数据。
", "ds_quality": "数据质量良好，规划图、地图及遥感影像等数据经过精纠正
", "ds_acq_start_time": "2005-01-01 00:00:00", "ds_acq_end_time": "2005-12-31 00:00:00", "ds_acq_place": "印度河流域", "ds_acq_lon_east": 81.65472222222223, "ds_acq_lat_south": 30.440555555555555, "ds_acq_lon_west": 68.86, "ds_acq_lat_north": 37.09722222222222, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 22691225, "ds_files_count": 21, "ds_format": "矢量", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "UTM投影", "ds_thumbnail": "0259dc99-6612-4cb9-99ce-0a08e5c08cd5.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "为保障平台科技资源的权益、扩展平台中心的服务、提升科技资源的应用潜力，请资源使用者在使用资源所产生的研究成果中（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），明确注明资源来源和资源作者。", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "lihongxing@lzb.ac.cn", "doi_value": "", "subject_codes": [], "quality_level": 3, "publish_time": "2020-12-17 16:10:08", "last_updated": "2023-11-02 11:26:25", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1515", "i18n": { "en": { "title": "1:100000 ice lake distribution data set in the Indus River Basin (2005)", "ds_format": "", "ds_source": "Landsat TM / ETM, spot, GeoEye-1 remote sensing image, topographic map, etc
", "ds_quality": "The data quality is good. \nThe planning map, map, remote sensing image and other data have been precisely corrected
\n\n\nThis data set is the 1:100000 ice lake data of the Indus River Basin in 2005. Based on the ETM Remote Sensing Images in 2005 and referring to the high-resolution images such as spot and GeoEye-1, the data set includes the boundary, ice lake and river data space and attribute data of the Indus River Basin, including the following: Indus_ Boundary,Indus_ Glacical_ Lakes，Indus_ Rivers。
\na. Explanation of name\nField 1: Base_ Code (basin name)\nData type: string (254)\nField 2: GL_ Coad (ice lake code)\nData type: string (254)\nField 3: longitude\nData type: string (254)\nField 4: longitude\nData type: string (254)\nField 5: altitude\nData type: number (19)\nField 6: GL_ Area (ice lake area)\nData type: number (19)\nField 7: GL_ Length (length of ice lake)\nData type: number (19)\nField 8: GL_ Class (ice lake level)\nData type: string (254)\nField 9: datasource (image)\nData type: string (254)\nField 10: GL_ Orientation (towards the ice lake)\nData type: string (254)\nField 11: dist2gr (distance from ice lake to glacier)\nData type: number (19)\nField 12: DS_ Date1 (image time)\nData type: date (8)
\nb. Dimension (unit of measure)\nGl_ Length: km; GL_ Area: square kilometers; dist2gr: kilometers
", "ds_time_res": "", "ds_acq_place": "Indus River Basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "By using remote sensing software such as GIS and envi, the required images are precisely corrected to ensure that the error of adjacent images is less than one pixel. After digitization, spatial data and attribute data are extracted, sorted and edited in strict accordance with 100000 scale.
", "ds_ref_instruction": "为保障平台科技资源的权益、扩展平台中心的服务、提升科技资源的应用潜力，请资源使用者在使用资源所产生的研究成果中（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），明确注明资源来源和资源作者。\r\nIn order to protect the rights and interests of the platform's scientific and technological resources, expand the service of the platform center, and enhance the application potential of the scientific and technological resources, resource users are requested to clearly indicate the resource sources and resource authors in the research results (including published papers, works, data products and unpublished research reports, data products and other results) produced by using the resources" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "冰川编目" ], "ds_subject_tags": [], "ds_class_tags": [], "ds_locus_tags": [ "印度河流域" ], "ds_time_tags": [ 2005 ], "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": "基础地理" }