该积雪数据集旨在为气候和环境研究提供长期（1980-2024）、连续（日数据）的北极（北纬66°34′以北）积雪覆盖记录，整合两种权威数据源（AVHRR和MODIS），以满足气候监测、水文建模和生态研究对高分辨率二元积雪数据的需求。2000年2月24日前使用高级甚高分辨率辐射计（AVHRR）影像，通过辐射定标、云检测和积雪识别算法生成积雪覆盖度（SCFG）。2000年2月24日起使用中分辨率成像光谱仪（MODIS）影像，基于归一化积雪指数（NDSI）及质量控制措施生成500m分辨率的积雪覆盖度。所有数据使用最近邻插值法重采样至统一的500m空间分辨率，以对齐AVHRR（较粗分辨率）和MODIS数据。积雪覆盖度（SCF）≥40% 分类为有积雪覆盖（值=1）；SCF<40% 分类为无积雪覆盖（值=0）；受降雨、降雪或云等影响的区域标记为NoData。所有数据使用最近邻插值法重采样至统一的500m空间分辨率，以对齐AVHRR（较粗分辨率）和MODIS数据。优势：整合AVHRR和MODIS数据，提供1980-2024年的连续记录，500m统一分辨率便于现代地理空间分析，二元分类适用于需要明确积雪边界的应用。\n
数据集为Geotiff格式，存储方式为年/月/日，命名方式YYYYMMDD__trinary_wgs84。", "ds_source": "
2000年2月24日前：数据来源于NOAA卫星上的高级甚高分辨率辐射计（AVHRR）影像，通过辐射定标、云检测和积雪识别算法生成积雪覆盖度（SCFG）。2000年2月24日起：数据来源于NASA Terra卫星上的中分辨率成像光谱仪（MODIS）影像，利用归一化积雪指数（NDSI）及质量控制措施生成500m分辨率的积雪覆盖度。本积雪数据集的后处理方法包括：使用最近邻插值法将AVHRR和MODIS数据重采样至统一的500m空间分辨率，以确保空间一致性；基于积雪覆盖度（SCF）进行分类，SCF≥40%定义为有积雪覆盖（值=1），SCF<40% 定义为无积雪覆盖（值=0），受降雨、降雪或云等干扰的区域标记为NoData。", "ds_process_way": "
2000年2月24日前：数据来源于NOAA卫星上的高级甚高分辨率辐射计（AVHRR）影像，通过辐射定标、云检测和积雪识别算法生成积雪覆盖度（SCFG）。2000年2月24日起：数据来源于NASA Terra卫星上的中分辨率成像光谱仪（MODIS）影像，利用归一化积雪指数（NDSI）及质量控制措施生成500m分辨率的积雪覆盖度。本积雪数据集的后处理方法包括：使用最近邻插值法将AVHRR和MODIS数据重采样至统一的500m空间分辨率，以确保空间一致性；基于积雪覆盖度（SCF）进行分类，SCF≥40%定义为有积雪覆盖（值=1），SCF<40%定义为无积雪覆盖（值=0），受降雨、降雪或云等干扰的区域标记为NoData。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "1980-01-01 00:00:00", "ds_acq_end_time": "2024-12-31 00:00:00", "ds_acq_place": "北纬66°34′以北", "ds_acq_lon_east": 180.0, "ds_acq_lat_south": 66.55, "ds_acq_lon_west": null, "ds_acq_lat_north": 90.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 1200338803, "ds_files_count": 3, "ds_format": "*.tif", "ds_space_res": "500m", "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "321846a0-24dc-4b80-9591-9aceb689c39a.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "53943799-d453-4bf2-a141-56c205c1355b", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2026-05-07 10:53:55", "last_updated": "2026-05-07 11:42:45", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ARCTIC-CHANGE.DB7143.2026", "i18n": { "en": { "title": "Arctic snow cover daily dataset from 1980 to 2024", "ds_format": "*.tif", "ds_source": "
Before February 24, 2000: Data are sourced from Advanced Very High Resolution Radiometer (AVHRR) imagery on NOAA satellites, generating snow cover fraction (SCFG) through radiometric calibration, cloud detection, and snow identification algorithms. From February 24, 2000, onward: Data are sourced from Moderate Resolution Imaging Spectroradiometer (MODIS) imagery on NASA’s Terra satellite, producing 500m-resolution snow cover fraction using the Normalized Difference Snow Index (NDSI) and quality control measures. Post-processing: The dataset is resampled to a uniform 500m spatial resolution using nearest-neighbor interpolation to ensure spatial consistency; snow cover fraction (SCF) is classified with SCF≥40% as snow-covered (value=1), SCF", "ds_quality": "
Good data quality.", "ds_ref_way": "", "ds_abstract": "
The snow cover dataset aims to provide a long-term (1980–2024), continuous (daily) record of snow cover in the Arctic (north of 66°34′N) for climate and environmental research, integrating two authoritative data sources (AVHRR and MODIS) to meet the demand for high-resolution binary snow cover data in climate monitoring, hydrological modeling, and ecological studies. Before February 24, 2000, Advanced Very High Resolution Radiometer (AVHRR) imagery is used, generating snow cover fraction (SCFG) through radiometric calibration, cloud detection, and snow identification algorithms. From February 24, 2000, onward, Moderate Resolution Imaging Spectroradiometer (MODIS) imagery is used, producing 500m-resolution snow cover fraction based on the Normalized Difference Snow Index (NDSI) and quality control measures. All data are resampled to a uniform 500m spatial resolution using nearest-neighbor interpolation to align AVHRR (coarser resolution) and MODIS data. Snow cover fraction (SCF) ≥40% is classified as snow-covered (value = 1); SCF <40% as no snow cover (value = 0); and areas affected by rain, snow, or clouds are marked as NoData. Advantages: Integrates AVHRR and MODIS data for a continuous 1980–2024 record, offers uniform 500m resolution for modern geospatial analysis, and provides binary classification suitable for applications requiring clear snow boundaries.", "ds_time_res": "", "ds_acq_place": "North of 66° 34′N", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
Before February 24, 2000: Data are sourced from Advanced Very High Resolution Radiometer (AVHRR) imagery on NOAA satellites, generating snow cover fraction (SCFG) through radiometric calibration, cloud detection, and snow identification algorithms. From February 24, 2000, onward: Data are sourced from Moderate Resolution Imaging Spectroradiometer (MODIS) imagery on NASA’s Terra satellite, producing 500m-resolution snow cover fraction using the Normalized Difference Snow Index (NDSI) and quality control measures. Post-processing: The dataset is resampled to a uniform 500m spatial resolution using nearest-neighbor interpolation to ensure spatial consistency; snow cover fraction (SCF) is classified with SCF≥40% as snow-covered (value=1), SCF", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0 (Creative Commons Attribution 4.0 International License)", "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, "ds_topic_tags": [ "北极", "冰冻圈", "积雪", "500m" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "北极", "北纬66°34′以北" ], "ds_time_tags": [ 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, 2021, 2022, 2023, 2024 ], "ds_contributors": [ { "true_name": "吴通华", "email": "thuawu@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院，青藏高原冰冻圈研究站, 冰冻圈科学国家重点实验室, ", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "吴通华", "email": "thuawu@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院，青藏高原冰冻圈研究站, 冰冻圈科学国家重点实验室, ", "country": "中国" } ], "ds_managers": [ { "true_name": "吴通华", "email": "thuawu@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院，青藏高原冰冻圈研究站, 冰冻圈科学国家重点实验室, ", "country": "中国" } ], "category": "积雪" }