在已获取的冰川分布基础上，将矢量边界转换为栅格数据，并通过渔网工具，统计并计算得到1970-2018年每100km冰川面积变化率分布图。", "ds_source": "
1970、2007、2015、2018年冰川分布数据", "ds_process_way": "
利用ArcGIS根据冰川面积属性将各时期面图层转为点图层，利用点转栅格，得到每个小栅格区域内包含的冰川面积。通过渔网工具，统计并计算得到每100km冰川变化率。", "ds_quality": "
原始数据为矢量格式。\n
(1)数据生产过程:将冰川边界面图层转换为点图层，再将点图层转换为栅格数据，单个栅格大小为30米，通过渔网工具生成100km网格大小，统计每个格网内面积变化率。\n
(2)方法和标准规范:ArcGIS工具创建渔网\n
在加工生成数据时，保留所有原始数据。", "ds_acq_start_time": "1970-01-01 00:00:00", "ds_acq_end_time": "2018-12-31 00:00:00", "ds_acq_place": "柴达木盆地", "ds_acq_lon_east": 99.25, "ds_acq_lat_south": 35.0, "ds_acq_lon_west": 90.25, "ds_acq_lat_north": 39.31666666666667, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 1318762, "ds_files_count": 2, "ds_format": "tif", "ds_space_res": "100km", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "72093914-8fde-4aab-896b-69c179c9fbd1.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "4851e874-eafc-4879-812b-ffbdd825e967", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.Hydro.db2431.2022", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2022-09-29 11:02:18", "last_updated": "2025-04-29 15:58:53", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Hydro.db2431.2022", "i18n": { "en": { "title": "Change rate of glacier area in Qaidam region (1970-2018)", "ds_format": "tif", "ds_source": "
Glacier distribution data in 1970, 2007, 2015 and 2018", "ds_quality": "
The original data is in vector format.\n
(1) Data production process: convert the glacier boundary layer into a point layer, and then convert the point layer into grid data. The size of a single grid is 30 meters. Generate a 100 km grid size through fishing net tools, and count the area change rate in each grid.\n
(2) Methods and standard specifications: ArcGIS tool to create fishing nets\n
When processing the generated data, keep all the original data.", "ds_ref_way": "", "ds_abstract": "
On the basis of the obtained glacier distribution, the vector boundary is converted into grid data, and the distribution map of the change rate of the glacier area per 100km from 1970 to 2018 is calculated through the fishing net tool.
", "ds_time_res": "", "ds_acq_place": "Qaidam Basin", "ds_space_res": "100km", "ds_projection": "", "ds_process_way": "Use ArcGIS to convert the surface layer into a point layer according to the attribute of glacier area, and use point to grid to get the glacier area contained in each small grid area. Through fishing net tools, the glacier change rate per 100km is counted and calculated.", "ds_ref_instruction": "" } }, "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": [ "柴达木盆地", "冰川面积变化率", "1970-2018年" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "柴达木盆地" ], "ds_time_tags": [ 1970, 2007, 2015, 2018 ], "ds_contributors": [ { "true_name": "朱高峰", "email": "zhugf@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "石梦寒", "email": "shimh20@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "ds_managers": [ { "true_name": "朱高峰", "email": "zhugf@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "category": "冰川" }