本数据包括扁都口加密观测区各样带和样点中各采样点的粗糙度测量原始照片，及表面高度标准离差（cm）和相关长度（cm）的计算结果。每个采样点均按照南北向和东西向分别测量1次，粗糙度板长110cm，测量点间距1cm。粗糙度数据通过数码照相采集，然后在ArcView软件下，对照片中每根辐条的顶端以及板子的四角做手工数字化采样，获得其图像坐标值，经过几何校正后，计算得到每根辐条的高度，然后按公式计算表面高度标准离差和表面相关长度。其计算公式见《微波遥感》第二卷234-236页。\n
\n粗糙度数据中首先是样点名称，之后数据正文包括4列（编号、文件名、标准离差、相关长度）。每一个文件名，即txt文件对应一张采样照片，标准离差（cm）与相关长度（cm）即代表了粗糙度。之后是每张照片中101根辐条的长度，属于中间结果，用以检查校正。
", "ds_source": "粗糙度数据中首先是样点名称，之后数据正文包括4列（编号、文件名、标准离差、相关长度）。每一个文件名，即txt文件对应一张采样照片，标准离差（cm）与相关长度（cm）即代表了粗糙度。之后是每张照片中101根辐条的长度，属于中间结果，用以检查校正。", "ds_process_way": "
每个采样点均按照南北向和东西向分别测量1次，粗糙度板长110cm，测量点间距1cm。粗糙度数据通过数码照相采集，然后在ArcView软件下，对照片中每根辐条的顶端以及板子的四角做手工数字化采样，获得其图像坐标值，经过几何校正后，计算得到每根辐条的高度，然后按公式计算表面高度标准离差和表面相关长度。其计算公式见《微波遥感》第二卷234-236页。", "ds_quality": "
\n数据质量良好
", "ds_acq_start_time": "2008-03-12 00:00:00", "ds_acq_end_time": "2008-03-13 00:00:00", "ds_acq_place": "黑河流域，上游寒区水文试验区，扁都口加密观测区", "ds_acq_lon_east": 100.44305555555556, "ds_acq_lat_south": 38.04333333333333, "ds_acq_lon_west": 100.58972222222222, "ds_acq_lat_north": 38.973888888888894, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 511598678, "ds_files_count": 2, "ds_format": "txt,jpg", "ds_space_res": null, "ds_time_res": "时", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "3e2e5743-9123-4626-a9ec-b650acd9c076.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "本数据由“黑河综合遥感联合试验”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": "14df1d8b-6362-4c0f-b88e-b46d4abe5db9", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.NIEER.db1881.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-03-15 17:04:21", "last_updated": "2025-06-30 16:06:24", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1740", "i18n": { "en": { "title": "Heihe integrated remote sensing joint experiment: surface roughness data set of biandukou intensive observation area (2008)", "ds_format": "txt,jpg", "ds_source": "In the roughness data, the first is the sample name, and then the data body includes 4 columns (number, file name, standard deviation and correlation length). Each file name, i.e. TXT file, corresponds to a sampling photo, and the standard deviation (CM) and correlation length (CM) represent the roughness. This is followed by the length of 101 spokes in each photo, which belongs to the intermediate result to check and correct.", "ds_quality": "
\nGood data quality
", "ds_ref_way": "", "ds_abstract": "This data includes the original photos of roughness measurement of various bands and sampling points in the flat mouth encrypted observation area, as well as the calculation results of surface height standard deviation (CM) and correlation length (CM). Each sampling point is measured once in north-south direction and east-west direction respectively. The roughness plate is 110cm long and the distance between measurement points is 1cm. The roughness data is collected by digital photography, and then the top of each spoke in the photo and the four corners of the board are manually digitally sampled under ArcView software to obtain the image coordinate value. After geometric correction, the height of each spoke is calculated, and then the surface height standard deviation and surface correlation length are calculated according to the formula. The calculation formula is shown in pages 234-236, Volume II, microwave remote sensing.\n
\nIn the roughness data, the first is the sample name, and then the data body includes 4 columns (number, file name, standard deviation and correlation length). Each file name, i.e. TXT file, corresponds to a sampling photo, and the standard deviation (CM) and correlation length (CM) represent the roughness. This is followed by the length of 101 spokes in each photo, which belongs to the intermediate result to check and correct.
", "ds_time_res": "时", "ds_acq_place": "Heihe River Basin, upstream cold region, hydrological test area, biandukou intensive observation area", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Each sampling point is measured once in north-south direction and east-west direction respectively. The roughness plate is 110cm long and the distance between measurement points is 1cm. The roughness data is collected by digital photography, and then the top of each spoke in the photo and the four corners of the board are manually digitally sampled under ArcView software to obtain the image coordinate value. After geometric correction, the height of each spoke is calculated, and then the surface height standard deviation and surface correlation length are calculated according to the formula. The calculation formula is shown in pages 234-236, Volume II, microwave remote sensing.", "ds_ref_instruction": "This data was generated by the \"Heihe Comprehensive Remote Sensing Joint Experiment\". When using the data, please clearly state the source of the data in the main text and cite the citation provided by this metadata in the reference section." } }, "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": [ "相关长度", "地表粗糙度", "表面高度标准离差" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "扁都口加密观测区", "黑河流域", "上游寒区水文试验区" ], "ds_time_tags": [ 2008 ], "ds_contributors": [ { "true_name": "赵少杰", "email": "geo_zhao@126.com", "work_for": "北京师范大学", "country": "中国" }, { "true_name": "王建", "email": "wjian@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": "王旭峰", "email": "wangxufeng@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": "赵天杰", "email": "zhaotj@radi.ac.cn", "work_for": "中国科学院遥感与数字地球研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "赵少杰", "email": "geo_zhao@126.com", "work_for": "北京师范大学", "country": "中国" } ], "ds_managers": [ { "true_name": "赵少杰", "email": "geo_zhao@126.com", "work_for": "北京师范大学", "country": "中国" } ], "category": "遥感及产品" }