该数据集为超级样地内青海云杉林木的树冠结构组分（小枝、叶片）的观测数据，观测时间为2008年6月5日，天气阴。超级样地位于黑河综合遥感联合试验在大野口流域设立的关滩森林水文气象观测站，样地大小为100m×100m。在整个超级样地内，按胸径大小分5个不同径阶选择样木，每个径阶选了10株，共选择30株样木分别进行了观测。对每个样木利用高枝剪采摘不同部位的树枝，手工分离小枝和叶片，利用天平现场分别测量小枝和叶片的鲜重，带回试验室利用烘箱烘干后测量干重，计算出含水率。用到的仪器主要为高枝剪、天平和烘箱。\n
\n该数据集和超级样地其他观测数据一起可用于森林3D场景的重建、主被动遥感机理模型建立、遥感影像的模拟等研究。
", "ds_source": "样地大小为100m×100m。在整个超级样地内，按胸径大小分5个不同径阶选择样木，每个径阶选了10株，共选择30株样木分别进行了观测。
", "ds_process_way": "对每个样木利用高枝剪采摘不同部位的树枝，手工分离小枝和叶片，利用天平现场分别测量小枝和叶片的鲜重，带回试验室利用烘箱烘干后测量干重，计算出含水率。用到的仪器主要为高枝剪、天平和烘箱。
\n\n该数据集和超级样地其他观测数据一起可用于森林3D场景的重建、主被动遥感机理模型建立、遥感影像的模拟等研究。
\n", "ds_quality": "数据质量良好
", "ds_acq_start_time": "2008-06-13 00:00:00", "ds_acq_end_time": "2008-06-13 00:00:00", "ds_acq_place": "黑河流域,大野口流域加密观测区,森林水文试验区,大野口关滩森林站超级样地", "ds_acq_lon_east": 100.2875, "ds_acq_lat_south": 38.46666666666667, "ds_acq_lon_west": 100.30333333333333, "ds_acq_lat_north": 38.666666666666664, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 12362, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "分、日、次", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "eb393c44-e049-4d23-a08a-f1135b6d0711.png", "ds_thumb_from": 0, "ds_ref_way": "陈尔学，黑河综合遥感联合试验：大野口关滩森林站超级样地林木组分干湿重测量数据集（2008年），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2019，doi：10.12072/ncdc.NIEER.db1893.2022", "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.db1893.2022", "subject_codes": null, "quality_level": 3, "publish_time": "2022-03-15 18:15:44", "last_updated": "2022-03-15 18:15:44", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Westdc.2021.816", "i18n": { "en": { "title": "Heihe integrated remote sensing joint experiment: data set of dry and wet weight measurement of forest components in super sample plot of Dayekou guantan forest station (2008)", "ds_format": "", "ds_source": "The sample plot size is 100m × 100m。 In the whole super sample plot, sample trees were selected in 5 different diameter steps according to DBH. 10 trees were selected for each diameter step, and a total of 30 samples were selected for observation", "ds_quality": "
Good data quality
", "ds_ref_way": "", "ds_abstract": "The data set is the observation data of canopy structure components (twigs and leaves) of Qinghai spruce trees in the super sample plot. The observation time is June 5, 2008, and the weather is overcast. The super sample plot is located in guantan forest hydrometeorological observation station set up in Dayekou basin by Heihe comprehensive remote sensing joint test, and the sample plot size is 100m × 100m。 In the whole super sample plot, sample trees were selected in 5 different diameter steps according to DBH. 10 trees were selected for each diameter step, and a total of 30 samples were selected for observation. For each sample wood, use high branch shears to pick branches at different parts, manually separate twigs and leaves, measure the fresh weight of twigs and leaves on site with a balance, take it back to the laboratory, measure the dry weight after drying in an oven, and calculate the moisture content. The instruments used are mainly high branch scissors, balance and oven.\n
\nTogether with other observation data of super sample plot, this data set can be used for forest 3D scene reconstruction, active and passive remote sensing mechanism model establishment, remote sensing image simulation and so on
", "ds_time_res": "分、日、次", "ds_acq_place": "Heihe River Basin, Dayekou basin intensive observation area, forest hydrological test area, Dayekou guantan Forest Station Super sample plot", "ds_space_res": "", "ds_projection": "", "ds_process_way": "For each sample wood, use high branch shears to pick branches at different parts, manually separate twigs and leaves, measure the fresh weight of twigs and leaves on site with a balance, take it back to the laboratory, measure the dry weight after drying in an oven, and calculate the moisture content. The instruments used are mainly high branch scissors, balance and oven\n
\nTogether with other observation data of super sample plot, this data set can be used for forest 3D scene reconstruction, active and passive remote sensing mechanism model establishment, remote sensing image simulation and so on\n
", "ds_ref_instruction": " " } }, "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": [ "干湿重", "植被", "生物量" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域", "大野口流域加密观测区", "森林水文试验区", "大野口关滩森林站超级样地" ], "ds_time_tags": [ 2008 ], "ds_contributors": [ { "true_name": "陈尔学", "email": "chenerx@caf.ac.cn", "work_for": "中国林业科学院资源信息研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "陈尔学", "email": "chenerx@caf.ac.cn", "work_for": "中国林业科学院资源信息研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "陈尔学", "email": "chenerx@caf.ac.cn", "work_for": "中国林业科学院资源信息研究所", "country": "中国" } ], "category": "遥感及产品" }