本数据集针对冷龙岭地区，利用遥感影像获取的2016年该地区数字高程模型。数据集包含1个波段，主要通过资源三号遥感影像立体像对生成的数字高程模型。只针对2016年当年冰川表面高程，故不进行补充和完善，数据集主要为遥感影像提取资料，仅表示遥感影像获取时间的数字高程模型，时间为2016年8月，采用完全开放共享。数据集包含DEM2016，共1个波段。数据集文件名及波段名称对应如下：数据集文件名：2016年冷龙岭地区数字高程模型数据集,DEM2016——2016年该地区数字高程模型（单位：米(m)）。
", "ds_source": "本数据集主要为解译数据，数据主要来源资源三号遥感数据。
", "ds_process_way": "通过资源三号立体相对正视和后视影像，在ENVI5.1下，通过DEM提取模块获取的冰川区数字高程模型。
", "ds_quality": "采用ENVI 4.7 软件中的“DEM Extraction”模块，对立体像对进行DEM数据提取。利用 数据源中的辐射校正参数对立体像对进行校正，从而消除 影像中的条带效应，提高DEM 数据提取的稳定性和可靠性。在DEM 数据提取过程中，按照典型研究区的分布对立体像对进行分区块处理覆盖每个典型研究区的立体像对至少采用20 个GCP，且均匀分布在非冰川区，其中高程控制点提取自中国历史地形图数据，平面控制点提取自同时期的LandSat TM+影像。
", "ds_acq_start_time": "2016-08-01 00:00:00", "ds_acq_end_time": "2016-08-31 00:00:00", "ds_acq_place": "冷龙岭", "ds_acq_lon_east": 102.2, "ds_acq_lat_south": 37.36666666666667, "ds_acq_lon_west": 101.2, "ds_acq_lat_north": 37.766666666666666, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 2452448, "ds_files_count": 3, "ds_format": "TIFF", "ds_space_res": "30.0m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "3a2794a2-3eab-4dbc-975a-5e897965ebb3.jpg", "ds_thumb_from": 2, "ds_ref_way": "曹泊, 潘保田, 王杰， 等. 兰州大学. 2016年冷龙岭地区数字高程模型数据集. 2019。", "paper_ref_way": "", "ds_ref_instruction": "2016年冷龙岭地区数字高程模型数据集来源于科技基础性工作专项“中国西部主要冰川作用中心冰量变化调查（2013FY111400）”。数据产权属于兰州大学。本数据集可用地理信息系统软件进行图形可视化。", "ds_from_station": "中国西部主要冰川作用中心冰量变化调查", "organization_id": "75b2f6d5-c7ed-438c-b7be-98672c057ed5", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "lihongxing@lzb.ac.cn", "doi_value": "", "subject_codes": null, "quality_level": 3, "publish_time": "2020-12-17 10:53:01", "last_updated": "2023-05-16 17:34:46", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.DIMaC.2020.120", "i18n": { "en": { "title": "Lenglongling digital elevation model data set in 2016", "ds_format": "", "ds_source": "This data set is mainly interpreted data, and the main source of data is the remote sensing data of Resource 3.
", "ds_quality": "The DEM extraction module of envi 4.7 software is used to extract DEM data from stereo image pairs. In order to eliminate the stripe effect and improve the stability and reliability of DEM data extraction, the radiometric correction parameters in the data source are used to correct the stereo image pair. In the process of DEM data extraction, according to the distribution of typical research areas, the stereo image pairs are divided into blocks, covering at least 20 GCPs in each typical research area, and evenly distributed in non glacial areas. The elevation control points are extracted from the historical topographic map data of China, and the plane control points are extracted from the Landsat TM + image of the same period.
", "ds_ref_way": "\nCao Po, pan Baotian, Wang Jie, et al. Lanzhou University. 2016 Lenglongling DEM dataset, 2019.", "ds_abstract": "This data set is aimed at Lenglongling area, and the digital elevation model of this area in 2016 obtained from remote sensing images. The data set contains one band, which is mainly generated by stereo image pair of ZY-3 remote sensing image. It is only for the glacier surface elevation in 2016, so it is not supplemented and improved. The data set mainly refers to the data extracted from remote sensing images, which only represents the acquisition time of remote sensing images. The date is August 2016, and it is fully open and shared. The data set contains dem2016, a total of 1 band. The corresponding file name and band name of the dataset are as follows: dataset file name: 2016 Lenglongling digital elevation model dataset, dem2016-2016 digital elevation model of the region (unit: meter (m)).
", "ds_time_res": "", "ds_acq_place": "Lenglongling", "ds_space_res": "30.0m", "ds_projection": "", "ds_process_way": "Digital elevation model of the glacier area obtained by the DEM extraction module under ENVI5.1 from Resource 3 stereo relative ortho- and hind-view images.
", "ds_ref_instruction": "\nThe data set of DEM in Lenglongling area in 2016 is derived from the special project of basic scientific and technological work \"investigation on ice change of major glaciation centers in Western China (2013fy111400)\". The property right of data belongs to Lanzhou University. The data set can be visualized by GIS software." } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 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, "belong_to_nieer": false, "ds_topic_tags": [ "冷龙岭", "DEM", "立体像对" ], "ds_subject_tags": [], "ds_class_tags": [], "ds_locus_tags": [ "冷龙岭" ], "ds_time_tags": [ 2016 ], "ds_contributors": [ { "true_name": "曹泊", "email": "caobo@lzu.edu.cn", "work_for": "兰州大学", "country": "" } ], "ds_meta_authors": [ { "true_name": "吴坤鹏", "email": "wukunpeng2008@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": "曹泊", "email": "caobo@lzu.edu.cn", "work_for": "兰州大学", "country": "" } ], "category": "冰川" }