鉴于中国南海（SCS）原位水深数据的稀缺性，通过整合 1298 条冰、云和陆地高程卫星（ICESat-2）轨迹和 70 幅哨兵-2 多光谱图像，开发了一个浅水水深模型 HHU24SWDSCS。根据独立的 ICESat-2 深度数据进行验证后，该模型的均方根误差为 0.81-1.35 米（小于最大深度的 5%），平均判定系数为 0.91。根据独立的机载 LiDAR 测深数据进行的验证显示，林洋礁的测深精度为 1.01 米。与现有水深测量模型的进一步比较显示了该模型的优越性能。现有水深模型在岛屿区域的误差可达数十米或更大，因此应谨慎使用，而 HHU24SWDSCS 模型在整个南中国海浅水区表现出良好的精度。因此，该模型为测绘岛屿附近的浅水深度提供了参考，为海洋学、大地测量学和其他学科的研究提供了基础支持。
", "ds_source": "HHU24SWDSCS是一个南海浅水水深模型，由 1298 条冰、云和陆地高程卫星（ICESat-2）轨迹与 70 幅哨兵-2 多光谱图像整合而成。
", "ds_process_way": "通过整合 1298 条冰、云和陆地高程卫星（ICESat-2）轨迹和 70 幅哨兵-2 多光谱图像，开发了一个浅水水深模型 HHU24SWDSCS。", "ds_quality": "
根据独立的 ICESat-2 深度数据进行验证，该模型的均方根误差为 0.81-1.35 米（小于最大深度的 5%），平均判定系数为 0.91。根据独立的机载 LiDAR 测深数据进行的验证显示，林洋礁的精度为 1.01 米。
", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "南海岛屿", "ds_acq_lon_east": 105.0, "ds_acq_lat_south": 3.0, "ds_acq_lon_west": 120.0, "ds_acq_lat_north": 20.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 88203472, "ds_files_count": 3, "ds_format": "nc", "ds_space_res": "10", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "cf12fdd1-c164-4f17-85fa-35e4487781d3.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "ds_serv_man": "敏玉芳", "ds_serv_phone": "09314967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45", "170.60" ], "quality_level": 3, "publish_time": "2025-04-29 11:34:10", "last_updated": "2026-01-14 10:05:36", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB6834.2025", "i18n": { "en": { "title": "HHU24SWDSCS: A shallow-water depth model over island areas in South China Sea retrieved from Satellite-derived bathymetry", "ds_format": "", "ds_source": "HHU24SWDSCS is a shallow water depth model for the South China Sea, which integrates 1298 ice, cloud, and land elevation satellite (ICESat-2) trajectories with 70 Sentinel-2 multispectral images.
", "ds_quality": "According to independent ICESat-2 depth data validation, the root mean square error of the model is 0.81-1.35 meters (less than 5% of the maximum depth), with an average decision coefficient of 0.91. According to independent airborne LiDAR depth data validation, the accuracy of Linyang Reef is 1.01 meters.
", "ds_ref_way": "", "ds_abstract": "Given the scarcity of in-situ water depth data in the South China Sea (SCS), a shallow water depth model HHU24SWDSCS was developed by integrating 1298 ice, cloud, and land elevation satellite (ICESat-2) trajectories and 70 Sentinel-2 multispectral images. After validation based on independent ICESat-2 depth data, the root mean square error of the model is 0.81-1.35 meters (less than 5% of the maximum depth), with an average decision coefficient of 0.91. According to independent airborne LiDAR depth measurement data validation, the depth measurement accuracy of Linyang Reef is 1.01 meters. Further comparison with existing water depth measurement models shows the superior performance of this model. The existing water depth models can have errors of tens of meters or more in island areas, so they should be used with caution, while the HHU24SWDSCS model shows good accuracy in the shallow waters of the entire South China Sea. Therefore, this model provides a reference for mapping shallow water depths near islands and provides fundamental support for research in oceanography, geodesy, and other disciplines.
", "ds_time_res": "", "ds_acq_place": "South China Sea Islands", "ds_space_res": "10", "ds_projection": "", "ds_process_way": "A shallow water depth model HHU24SWDSCS was developed by integrating 1298 ice, cloud, and land elevation satellite (ICESat-2) trajectories and 70 Sentinel-2 multispectral images.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "中国南海", "浅水测深", "sentinel-2", "icesat-2" ], "ds_subject_tags": [ "地理学", "海洋科学" ], "ds_class_tags": [], "ds_locus_tags": [ "南海岛屿地区" ], "ds_time_tags": [], "ds_contributors": [ { "true_name": "贾东振", "email": "jdz@hhu.edu.cn", "work_for": "河海大学地球科学与工程学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "贾东振", "email": "jdz@hhu.edu.cn", "work_for": "河海大学地球科学与工程学院", "country": "中国" } ], "ds_managers": [ { "true_name": "贾东振", "email": "jdz@hhu.edu.cn", "work_for": "河海大学地球科学与工程学院", "country": "中国" } ], "category": "水文" }