湖泊作为关键的淡水资源库和生态核心，在区域供水保障、生态安全维护及社会经济文化发展中具有不可替代的作用。然而，在气候变化与人类活动的双重压力下，全球众多湖泊正面临显著的萎缩威胁。本研究以中国水利部《母亲河（湖）复苏行动（2022-2025年）》划定的九个重点保护湖泊为研究对象，通过多源遥感数据融合分析（Landsat-5 TM、Landsat-8/9 OLI与Sentinel-2 MSI），系统重构了1984-2023年间40年的高时序水面面积变化轨迹，累计完成4791期有效监测。经严格验证，数据集总体分类精度达94.7%，Kappa系数0.86，为母亲湖生态修复工程的成效评估提供了高精度、长时序的定量化科学依据。", "ds_source": "
Landsat-5 TM、Landsat-8/9 OLI与Sentinel-2 MSI。", "ds_process_way": "
多源数据融合。", "ds_quality": "
经严格验证，数据集总体分类精度达94.7%，Kappa系数0.86。", "ds_acq_start_time": "1984-01-01 00:00:00", "ds_acq_end_time": "2023-12-31 00:00:00", "ds_acq_place": "中国", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 29536131, "ds_files_count": 2, "ds_format": "shp", "ds_space_res": null, "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "de6714f7-0091-49ea-ac79-b846e8fa3324.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "d2c052ce-d283-4a48-8962-6a3dbcb03b8e", "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": "2025-03-28 19:03:09", "last_updated": "2025-06-24 09:22:22", "protected": false, "protected_to": null, "lang": "zh", "cstr": "https://cstr.cn/31253.11.sciencedb.13319", "i18n": { "en": { "title": "A dataset of spatial-temporal variation of 9 Mother's Lakes water area during 1984-2024", "ds_format": "shp", "ds_source": "
Landsat-5 TM, Landsat-8/9 OLI, and Sentinel-2 MSI.", "ds_quality": "
After rigorous verification, the overall classification accuracy of the dataset reached 94.7%, with a Kappa coefficient of 0.86.", "ds_ref_way": "", "ds_abstract": "
Lakes, as key freshwater resource reservoirs and ecological cores, play an irreplaceable role in ensuring regional water supply, maintaining ecological security, and promoting socio-economic and cultural development. However, under the dual pressures of climate change and human activities, numerous lakes around the world are facing significant threats of shrinkage. This study focuses on the nine key protected lakes designated by the Chinese Ministry of Water Resources' \"Mother River (Lake) Revitalization Action (2022-2025)\". Through multi-source remote sensing data fusion analysis (Landsat-5 TM, Landsat-8/9 OLI, and Sentinel-2 MSI), the system reconstructed the temporal water surface area change trajectory over a 40 year period from 1984 to 2023, and completed a total of 4791 effective monitoring periods. After strict verification, the overall classification accuracy of the dataset reached 94.7%, with a Kappa coefficient of 0.86, providing a high-precision, long-term quantitative scientific basis for the effectiveness evaluation of the Mother Lake ecological restoration project.
", "ds_time_res": "年", "ds_acq_place": "China", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Multi source data fusion.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "https://creativecommons.org/licenses/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": [ "母亲湖水域", "Sentinel-2", "Landsat5", "Landsat8/9" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国母亲湖" ], "ds_time_tags": [ 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 ], "ds_contributors": [ { "true_name": "曹引", "email": "caoyin@iwhr.com", "work_for": "中国水利水电科学研究院水资源研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "曹引", "email": "caoyin@iwhr.com", "work_for": "中国水利水电科学研究院水资源研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "曹引", "email": "caoyin@iwhr.com", "work_for": "中国水利水电科学研究院水资源研究所", "country": "中国" } ], "category": "水文" }