2008年6月7日，2008年6月18号和2008年6月25日，在临泽草地加密观测区测量了不同下垫面的地表粗糙度，该数据可为为机载－星载遥感数据的土壤水分微波反演和验证提供数据。 本数据包括临泽草地站样方A（芦苇地），样方B（盐碱地）及样方C（盐碱地）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）和表面相关长度（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。草地站各样方均为4Grid×4Gid，120m长×120m宽正方形。本数据可为发展和验证微波遥感算法提供基本的地面数据集。\n
\n粗糙度数据由粗糙度板测量，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该数据由曹永攀负责处理。样方样带的分布信息请参见元数据“黑河综合遥感联合试验：临泽草地加密观测区样方样带布置”。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": "2008年6月7日，2008年6月18号和2008年6月25日，在临泽草地加密观测区测量了不同下垫面的地表粗糙度，该数据可为为机载－星载遥感数据的土壤水分微波反演和验证提供数据。该数据由曹永攀负责处理。样方样带的分布信息请参见元数据“黑河综合遥感联合试验：临泽草地加密观测区样方样带布置”。", "ds_process_way": "
粗糙度数据由粗糙度板测量，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": "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_acq_start_time": "2008-06-07 00:00:00", "ds_acq_end_time": "2008-06-25 00:00:00", "ds_acq_place": "黑河流域,中游干旱区水文试验区,临泽草地加密观测区", "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": 650135128, "ds_files_count": 2, "ds_format": "word", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "5c58420f-99d4-4971-8a36-81b59b605cf5.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.db1889.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-03-15 17:02:52", "last_updated": "2025-06-30 16:08:04", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1935", "i18n": { "en": { "title": "Heihe River Integrated Remote Sensing joint experiment: surface roughness observation data set of Linze grassland intensive observation area (June 2008)", "ds_format": "word", "ds_source": "The surface roughness of different underlying surfaces was measured in the intensive observation area of Linze grassland on June 7, 2008, June 18, 2008 and June 25, 2008. The data can provide data for microwave inversion and verification of soil moisture from airborne satellite remote sensing data. This data is handled by Cao yongpan. See metadata \"Heihe integrated remote sensing joint experiment: layout of quadrat transects in Linze grassland densified observation area\" for the distribution information of quadrat transects.", "ds_quality": "
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_ref_way": "", "ds_abstract": "
The surface roughness of different underlying surfaces was measured in the intensive observation area of Linze grassland on June 7, 2008, June 18, 2008 and June 25, 2008. The data can provide data for microwave inversion and verification of soil moisture from airborne satellite remote sensing data. This data includes the original photos of roughness measurement of sampling points in sample a (reed land), sample B (saline alkali land) and sample C (saline alkali land) of Linze grassland station, and the calculation results of surface height standard deviation (CM) and surface 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. All sides of grassland station are 4grid × 4gid, 120m long × 120m wide square. This data can provide a basic ground data set for the development and verification of microwave remote sensing algorithms.\n
\nThe roughness data is measured by the roughness board and collected by digital photography. Then, under the ArcView software, the top of each spoke in the photo and the four corners of the board are manually digitally sampled to obtain its image coordinate value. After geometric correction, the height of each spoke is calculated, and then the surface height standard deviation and surface related length are calculated according to the formula. The calculation formula is shown in pages 234-236, Volume II, microwave remote sensing
\nThis data is handled by Cao yongpan. See metadata \"Heihe integrated remote sensing joint experiment: layout of quadrat transects in Linze grassland densified observation area\" for the distribution information of quadrat transects. 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_time_res": "日", "ds_acq_place": "Heihe River Basin, arid area in the middle reaches, hydrological experimental area, Linze grassland intensive observation area", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The roughness data is measured by the roughness board and collected by digital photography. Then, under the ArcView software, the top of each spoke in the photo and the four corners of the board are manually digitally sampled to obtain its image coordinate value. After geometric correction, the height of each spoke is calculated, and then the surface height standard deviation and surface related 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": [ "地表粗糙度", "表面高度标准离差", "相关长度" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "临泽草地加密观测区", "黑河流域", "中游干旱区水文试验区" ], "ds_time_tags": [ 2008 ], "ds_contributors": [ { "true_name": "胡晓利", "email": "huxiaoli@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "" }, { "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" }, { "true_name": "王树果", "email": "sgwang@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" } ], "ds_meta_authors": [ { "true_name": "胡晓利", "email": "huxiaoli@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "" } ], "ds_managers": [ { "true_name": "胡晓利", "email": "huxiaoli@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "" } ], "category": "遥感及产品" }