该数据集包含北半球 56 个湖泊从 1979 年到 2019 年的冰层物候数据。冰层物候是从校准增强分辨率亮度温度（CETB）数据集中的3.125 km 37 GHz H偏振傍晚亮度温度数据中提取的，这些数据来自扫描多通道微波辐射计（SMMR）、特殊传感器微波图像（SSM/I）和特殊传感器微波成像仪/探测仪（SSMIS）数据。从 1979 年到 2019 年，每年形成完整冰盖的湖泊的平均完全冻结持续时间和冰盖持续时间分别为 153 天和 161 天，湖泊冰层物候数据集为了解过去 40 年季节性冰盖湖泊的变化提供了宝贵信息。", "ds_source": "
数据来自扫描多通道微波辐射计（SMMR）、特殊传感器微波图像（SSM/I）和特殊传感器微波成像仪/探测仪（SSMIS）数据。", "ds_process_way": "
根据湖泊冰面与开阔水域亮度温度的差异，采用基于移动 t 检验法的阈值算法，确定距湖岸 6.25 公里像素点的湖泊冰面状态，然后提取每个湖泊的冰面物候日期。对于从多颗卫星上提取的重叠湖冰物候结果，优先使用利用率最高的卫星结果。", "ds_quality": "
湖冰物候结果与从地球观测系统高级微波扫描辐射计（AMSR-E）和高级微波扫描辐射计 2（AMSR2）数据（2002 年至 2015 年）中提取的现有产品非常一致，冰日期的平均绝对误差在 2 到 4 d 之间。生成的湖冰记录与北美劳伦森五大湖年度最大冰盖的历史记录相比，也显示出明显的一致性。", "ds_acq_start_time": "1979-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "北半球", "ds_acq_lon_east": 132.66222222222223, "ds_acq_lat_south": 30.916666666666668, "ds_acq_lon_west": -113.79527777777777, "ds_acq_lat_north": 66.82527777777777, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 270954, "ds_files_count": 2, "ds_format": "txt", "ds_space_res": "", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "6b1f2b7f-6d07-401b-b28d-692492b17af8.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "99c0a56f-14cb-4cfc-a9a1-bb4b8d16a658", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2025-03-28 19:03:06", "last_updated": "2026-01-14 10:08:46", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.PANGAEA.DB6810.2025", "i18n": { "en": { "title": "The phenological data of lake ice in the Northern Hemisphere extracted from SMMR, SSM/I, and SSMIS data from (1979-2020)", "ds_format": "txt", "ds_source": "
The data comes from Scanning Multi Channel Microwave Radiometer (SMMR), Special Sensor Microwave Imaging (SSM/I), and Special Sensor Microwave Imager/Detector (SSMIS) data.", "ds_quality": "
The phenological results of lake ice are highly consistent with existing products extracted from data from the Earth Observation System Advanced Microwave Scanning Radiometer (AMSR-E) and Advanced Microwave Scanning Radiometer 2 (AMSR2) from 2002 to 2015, with an average absolute error of 2 to 4 days for ice dates. The generated lake ice record also shows significant consistency with the historical record of the largest annual ice sheet in the Laurentian Great Lakes in North America.", "ds_ref_way": "", "ds_abstract": "
This dataset contains ice phenological data of 56 lakes in the Northern Hemisphere from 1979 to 2019. Ice phenology was extracted from the 3.125 km 37 GHz H-polarized evening brightness temperature data in the Calibration Enhanced Resolution Brightness Temperature (CETB) dataset, which came from Scanning Multi Channel Microwave Radiometer (SMMR), Special Sensor Microwave Imager (SSM/I), and Special Sensor Microwave Imager/Detector (SSMIS) data. From 1979 to 2019, the average duration of complete freezing and ice cover formation in lakes each year was 153 days and 161 days, respectively. The lake ice phenology dataset provides valuable information for understanding the changes in seasonal ice covered lakes over the past 40 years.
", "ds_time_res": "日", "ds_acq_place": "the Northern Hemisphere", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Based on the difference in brightness and temperature between the lake ice surface and the open water area, a threshold algorithm based on the moving t-test method is used to determine the ice surface state of the lake at a pixel point 6.25 kilometers away from the lake shore, and then extract the phenological date of each lake's ice surface. For overlapping lake ice phenological results extracted from multiple satellites, priority should be given to using the satellite results with the highest utilization rate.", "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": [ "湖冰物候", "被动微波辐射计", "SMMR" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "北半球" ], "ds_time_tags": [ 1979, 1980, 1981, 1982, 1983, 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 ], "ds_contributors": [ { "true_name": "柯长青", "email": "kecq@nju.edu.cn", "work_for": "南京大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "柯长青", "email": "kecq@nju.edu.cn", "work_for": "南京大学", "country": "中国" } ], "ds_managers": [ { "true_name": "柯长青", "email": "kecq@nju.edu.cn", "work_for": "南京大学", "country": "中国" } ], "category": "极地" }