通过数据编程，2012年5月中旬获取了大野口流域WorldView-2立体像对数据。同年7-8月，在流域GPS差分大地控制网基础上，测得27个GPS像控点及检查点数据。在全野外GPS地面控制点基础上，利用数字摄影测量软件系统，对WorldView-2影像自带RPC文件进行校正。在立体模型上通过影像自动匹配技术，匹配60个均匀分布的高精度影像连接点快速提取黑河流域上游大野口子流域1米、2米数字高程模型（DEM）。同时，在阴坡森林覆盖区、大野口水库等重点区域进行DEM进行编辑，在地形特征变化大的地方测量一定数量的特征点、线数据，极大地提高了成果精度。\n
\n通过外业控制点、模型保密点组成的检查点进行定量DEM验证，其高程中误差分别为1.9米和1.2米，达到1:2000比例尺2级高山地2米精度要求。
", "ds_source": "通过数据编程，2012年5月中旬获取了大野口流域WorldView-2立体像对数据。同年7-8月，在流域GPS差分大地控制网基础上，测得27个GPS像控点及检查点数据。
", "ds_process_way": "在全野外GPS地面控制点基础上，利用数字摄影测量软件系统，对WorldView-2影像自带RPC文件进行校正。在立体模型上通过影像自动匹配技术，匹配60个均匀分布的高精度影像连接点快速提取黑河流域上游大野口子流域1米、2米数字高程模型（DEM）。同时，在阴坡森林覆盖区、大野口水库等重点区域进行DEM进行编辑，在地形特征变化大的地方测量一定数量的特征点、线数据，极大地提高了成果精度。\n
\n通过外业控制点、模型保密点组成的检查点进行定量DEM验证，其高程中误差分别为1.9米和1.2米，达到1:2000比例尺2级高山地2米精度要求。
", "ds_quality": "数据质量良好
", "ds_acq_start_time": "2012-04-14 00:00:00", "ds_acq_end_time": "2012-05-14 00:00:00", "ds_acq_place": "黑河流域,大野口流域,上游寒区水文试验区", "ds_acq_lon_east": 100.30694444444444, "ds_acq_lat_south": 38.44499999999999, "ds_acq_lon_west": 100.215, "ds_acq_lat_north": 38.575, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 267204310, "ds_files_count": 10, "ds_format": "img", "ds_space_res": null, "ds_time_res": "时", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "8a1cfbbe-049b-4335-97cf-ca1c01978c1a.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "本数据由“黑河生态水文遥感试验（HiWATER）”产生，用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。", "ds_from_station": null, "organization_id": "c94b3578-20da-4346-9de9-c702b6ca8983", "ds_serv_man": "敏玉芳", "ds_serv_phone": " 0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": null, "quality_level": 3, "publish_time": "2021-09-14 09:55:32", "last_updated": "2023-08-23 16:47:30", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.47", "i18n": { "en": { "title": "Heihe River eco hydrological remote sensing experiment: 2m DEM data set of Dayekou basin (2012)", "ds_format": "", "ds_source": "Through data programming, worldview-2 stereo pair data of Dayekou basin were obtained in mid May 2012. From July to August of the same year, the data of 27 GPS image control points and check points were measured on the basis of the basin GPS Differential geodetic control network
", "ds_quality": "Good data quality
", "ds_ref_way": "", "ds_abstract": "Through data programming, worldview-2 stereo pair data of Dayekou basin were obtained in mid May 2012. From July to August of the same year, the data of 27 GPS image control points and check points were measured on the basis of the basin GPS Differential geodetic control network. Based on the whole field GPS ground control points, the RPC file of worldview-2 image is corrected by using the digital photogrammetry software system. On the stereo model, 60 evenly distributed high-precision image connection points are matched through image automatic matching technology to quickly extract 1m and 2m digital elevation models (DEM) of Dayekou sub watershed in the upper reaches of Heihe River Basin. At the same time, DEM is edited in key areas such as yinpo forest covered area and Dayekou reservoir, and a certain number of feature points and line data are measured in places with large changes in topographic features, which greatly improves the accuracy of results.\n
\nThe quantitative DEM verification is carried out through the inspection points composed of field control points and model security points. The mean square error of elevation is 1.9m and 1.2m respectively, which meets the accuracy requirements of 2m in high mountains with a scale of 1:2000
", "ds_time_res": "时", "ds_acq_place": "Heihe River Basin, Dayekou basin, upstream cold region, hydrological test area", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Based on the whole field GPS ground control points, the RPC file of worldview-2 image is corrected by using the digital photogrammetry software system. On the stereo model, 60 evenly distributed high-precision image connection points are matched through image automatic matching technology to quickly extract 1m and 2m digital elevation models (DEM) of Dayekou sub watershed in the upper reaches of Heihe River Basin. At the same time, DEM is edited in key areas such as yinpo forest covered area and Dayekou reservoir, and a certain number of feature points and line data are measured in places with large changes in topographic features, which greatly improves the accuracy of results.\n
\nThe quantitative DEM verification is carried out through the inspection points composed of field control points and model security points. The mean square error of elevation is 1.9m and 1.2m respectively, which meets the accuracy requirements of 2m in high mountains with a scale of 1:2000
", "ds_ref_instruction": " \nThis data is generated by \"Heihe eco hydrological remote sensing experiment (hiwater)\". When using the data, users should clearly state the source of the data in the text and quote the reference method provided by this metadata in the reference part." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC 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": [ "遥感产品", "DEM", "覆盖度" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域", "大野口流域", "上游寒区水文试验区" ], "ds_time_tags": [ 2012 ], "ds_contributors": [ { "true_name": "马明国", "email": "mmg@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": "马明国", "email": "mmg@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": "马明国", "email": "mmg@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": "遥感及产品" }