本数据集包含HiWATER黑河中游人工绿洲试验区共计5个PLMR飞行日的土壤水分遥感反演产品，飞行日期分别为：2012年6月30日，7月7日，7月10日，7月26日，8月2日。\n
\n利用三角度（7°，21.5°，38.5°）双极化共六个通道的PLMR亮温观测，并结合Levenberg-Marquardt优化算法，对土壤水分（SM)、植被含水量（VWC）和地表粗糙度参数（Hr）同时进行三参数反演，得到空间分辨率700m的土壤表面体积含水量（单位cm3/cm3，代表约5cm深度的平均含水量）。\n
\n本数据集格式为asc，投影为UTM（中央经线47°N）。土壤水分的反演结果通过生态水文无线传感器网络和人工土壤水分同步观测数据进行了验证，结果表明土壤水分产品的总体精度在0.05cm3/cm3左右，其中7月7日与7 月10日的反演精度可达0.04cm3/cm3左右。利用PLMR亮温反演得到的黑河中游绿洲土壤水分数据集，可为流域陆面/水文模型及数据同化提供数据集，对于揭示绿洲灌溉空间格局以及发展土壤水分产品的尺度转换算法也有重要意义。
", "ds_source": "飞行日期分别为：2012年6月30日，7月7日，7月10日，7月26日，8月2日。\n
\n利用三角度（7°，21.5°，38.5°）双极化共六个通道的PLMR亮温观测，并结合Levenberg-Marquardt优化算法，对土壤水分（SM)、植被含水量（VWC）和地表粗糙度参数（Hr）同时进行三参数反演，得到空间分辨率700m的土壤表面体积含水量（单位cm3/cm3，代表约5cm深度的平均含水量）
", "ds_process_way": "土壤水分的反演结果通过生态水文无线传感器网络和人工土壤水分同步观测数据进行了验证，结果表明土壤水分产品的总体精度在0.05cm3/cm3左右，其中7月7日与7 月10日的反演精度可达0.04cm3/cm3左右。\n
\n利用PLMR亮温反演得到的黑河中游绿洲土壤水分数据集，可为流域陆面/水文模型及数据同化提供数据集，对于揭示绿洲灌溉空间格局以及发展土壤水分产品的尺度转换算法也有重要意义。
", "ds_quality": "数据质量良好
", "ds_acq_start_time": "2012-06-30 00:00:00", "ds_acq_end_time": "2012-08-02 00:00:00", "ds_acq_place": "黑河流域, 中游人工绿洲试验区", "ds_acq_lon_east": 100.7388888888889, "ds_acq_lat_south": 38.675, "ds_acq_lon_west": 100.22083333333333, "ds_acq_lat_north": 39.07222222222222, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 437528, "ds_files_count": 2, "ds_format": "las", "ds_space_res": "/", "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "/", "ds_thumbnail": "1562e7c2-66b9-4e0d-83de-91ba731e46f0.png", "ds_thumb_from": 0, "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": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-08-31 08:54:22", "last_updated": "2025-05-29 16:23:45", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1882", "i18n": { "en": { "title": "Heihe River eco hydrological remote sensing experiment: soil moisture data set retrieved by plmr in the middle reaches of Heihe River Basin (2012)", "ds_format": "las", "ds_source": "The flight dates are June 30, July 7, July 10, July 26 and August 2, 2012.\n
\nUsing the plmr brightness temperature observation of six channels with triangulation (7 °, 21.5 °, 38.5 °) and combined with Levenberg Marquardt optimization algorithm, the three parameter inversion of soil moisture (SM), vegetation moisture content (vwc) and surface roughness parameter (HR) is carried out at the same time, and the soil surface volume water content (unit: cm3 / cm3) with spatial resolution of 700m is obtained, Represents the average moisture content at a depth of about 5cm)
", "ds_quality": "Good data quality
", "ds_ref_way": "", "ds_abstract": "This data set contains the soil moisture remote sensing inversion products of 5 plmr flight days in the artificial oasis test area in the middle reaches of hiwater Heihe River. The flight days are June 30, July 7, July 10, July 26 and August 2, 2012 respectively.\n
\nUsing the plmr brightness temperature observation of six channels with triangulation (7 °, 21.5 °, 38.5 °) and combined with Levenberg Marquardt optimization algorithm, the three parameter inversion of soil moisture (SM), vegetation moisture content (vwc) and surface roughness parameter (HR) is carried out at the same time, and the soil surface volume water content (unit: cm3 / cm3) with spatial resolution of 700m is obtained, Represents the average moisture content at a depth of about 5cm).\n
\nThe format of this dataset is ASC and the projection is UTM (central longitude 47 ° n). The inversion results of soil moisture are verified by ecological hydrological wireless sensor network and artificial soil moisture synchronous observation data. The results show that the overall accuracy of soil moisture products is about 0.05cm3/cm3, of which the inversion accuracy on July 7 and July 10 is about 0.04cm3/cm3. The oasis soil moisture data set in the middle reaches of Heihe River obtained by plmr brightness temperature inversion can provide data sets for land surface / hydrological model and data assimilation, and is also of great significance to reveal the Oasis Irrigation Spatial Pattern and develop the scale conversion algorithm of soil moisture products
", "ds_time_res": "日", "ds_acq_place": "Heihe River Basin, middle reaches, artificial oasis, experimental area", "ds_space_res": "/", "ds_projection": "/", "ds_process_way": "The inversion results of soil moisture are verified by ecological hydrological wireless sensor network and artificial soil moisture synchronous observation data. The results show that the overall accuracy of soil moisture products is about 0.05cm3/cm3, of which the inversion accuracy on July 7 and July 10 is about 0.04cm3/cm3.\n
\nThe oasis soil moisture data set in the middle reaches of Heihe River obtained by plmr brightness temperature inversion can provide data sets for land surface / hydrological model and data assimilation, and is also of great significance to reveal the Oasis Irrigation Spatial Pattern and develop the scale conversion algorithm of soil moisture products
", "ds_ref_instruction": "This 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, "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, "allow_update_data": false, "ds_topic_tags": [ "航空遥感产品", "土壤水分", "PLMR", "机载微波辐射计" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中游人工绿洲试验区", "黑河流域" ], "ds_time_tags": [ 2012 ], "ds_contributors": [ { "true_name": "晋锐", "email": "jinrui@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": "李新", "email": "lixin@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": "晋锐", "email": "jinrui@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": "晋锐", "email": "jinrui@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" }