随着全球气候变暖，冰冻圈正在经历显著的变化，如冰川积雪的消融、海冰的减少以及冻土的退化。亚洲高山区冰冻圈逐日遥感指数驱动数据集（2000-2023）为亚洲高山区冰冻圈要素的监测与提取提供基础数据，满足冰冻圈速变探测对数据产品的高时效性需求。\n
\n本数据集包含积雪指数NDSI、植被指数NDVI和水体指数NDWI三套数据，空间分辨率0.005 d。首先在MODIS地表反射率数据的基础上提取积雪、植被和水体指数，其次通过同一天Terra-Aqua数据融合、时域插值算法、空域插值算法以及Canny边缘检测与填充算法的技术处理，实现逐日无云驱动数据的制备。\n
\n为保证数据的准确性和可靠性，本数据集从数据源的质量控制和算法独立验证两个方面对数据产品进行质量控制，且取得了较好的验证效果。长时序逐日无云驱动数据集对冰冻圈的监测和研究提供数据参考，对于理解冰冻圈变化及其对气候变化的响应具有重要意义。
", "ds_source": "MODIS逐日表面反射率产品MOD09GA，MYD09GA来自于美国国家航空航天局（NASA），分别源于DOI: 10.5067/MODIS/MOD09GA.061，DOI: 10.5067/MODIS/MYD09GA.061。该产品提供了中分辨率成像光谱仪 (MODIS) 1至7波段地表光谱反射率的估计值，均对气体、气溶胶和瑞利散射等大气条件进行了校正。
", "ds_process_way": "首先在MODIS地表反射率数据的基础上提取积雪、植被和水体指数，其次通过同一天Terra-Aqua数据融合、时域插值算法、空域插值算法以及Canny边缘检测与填充算法的技术处理，实现逐日无云驱动数据的制备。\n
\n数据为TIFF格式，能够在ArcGIS、QGIS、ENVI以及MATLAB等相关软件中对数据进行读取、查看、编辑以及统计分析。数据的有效范围为−10000~10000, 20000代表无效值,可使用QGIS/ArcGIS打开。
", "ds_quality": "数据质量良好。
", "ds_acq_start_time": "2000-03-01 00:00:00", "ds_acq_end_time": "2023-12-31 00:00:00", "ds_acq_place": "亚洲高山区", "ds_acq_lon_east": 106.0, "ds_acq_lat_south": 23.0, "ds_acq_lon_west": 61.0, "ds_acq_lat_north": 46.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 2178749501622, "ds_files_count": 25975, "ds_format": "TIFF", "ds_space_res": "0.005度", "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "EPSG:4326", "ds_thumbnail": "18cff7a8-7680-49da-bcbf-74d6addab15e.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "9de89acc-5714-4927-aba3-ac88067dff8a", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2024-06-17 17:11:12", "last_updated": "2026-01-16 09:08:37", "protected": true, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB6520.2024", "i18n": { "en": { "title": "Daily cloud-free remote sensing index dataset for the cryosphere in High Mountain Asia (2000-2023)", "ds_format": "TIFF", "ds_source": "The MODIS daily surface reflectance products MOD09GA and MYD09GA are from the National Aeronautics and Space Administration (NASA) of the United States, respectively DOI: 10.5067/MODIS/MOD09GA.061，DOI: 10.5067/MODIS/MYD09GA.061。 This product provides estimates of surface spectral reflectance in bands 1 to 7 of the Moderate Resolution Imaging Spectroradiometer (MODIS), all calibrated for atmospheric conditions such as gases, aerosols, and Rayleigh scattering.
", "ds_quality": "The data quality is good.
", "ds_ref_way": "", "ds_abstract": "With global climate change, the cryosphere is undergoing significant changes, such as the melting of glacier snow, the reduction of sea ice, and the degradation of permafrost. The daily remote sensing index driven dataset (2000-2023) of the cryosphere in the Asian high-altitude region provides basic data for monitoring and extracting cryosphere elements, meeting the high timeliness requirements of data products for detecting cryosphere speed changes.\n
\nThis dataset contains three sets of data: snow cover index (NDSI), vegetation index (NDVI), and water body index (NDWI), with a spatial resolution of 0.005 d. Firstly, snow cover, vegetation, and water body indices are extracted based on MODIS surface reflectance data. Secondly, the same day Terra Aqua data fusion, time-domain interpolation algorithm, spatial interpolation algorithm, and Canny edge detection and filling algorithm are used to prepare daily cloud free driving data.\n
\nTo ensure the accuracy and reliability of the data, this dataset controls the quality of the data product from two aspects: quality control of the data source and independent validation of the algorithm, and has achieved good validation results. The long-term daily cloud free driving dataset provides data reference for monitoring and studying the cryosphere, which is of great significance for understanding the changes in the cryosphere and its response to climate change.
", "ds_time_res": "日", "ds_acq_place": "High mountain regions in Asia", "ds_space_res": "0.005度", "ds_projection": "EPSG:4326", "ds_process_way": "Firstly, snow cover, vegetation, and water indices are extracted based on MODIS surface reflectance data. Secondly, daily cloud free driving data is prepared through techniques such as same day Terra Aqua data fusion, time-domain interpolation algorithm, spatial interpolation algorithm, and Canny edge detection and filling algorithm.\n
\nThe data is in TIFF format and can be read, viewed, edited, and statistically analyzed in related software such as ArcGIS, QGIS, ENVI, and MATLAB. The valid range of data is -10000~10000, with 20000 representing invalid values, which can be opened using QGIS/ArcGIS.
", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "驱动数据", "积雪指数", "植被指数", "水体指数", "冰冻圈" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "亚洲高山区" ], "ds_time_tags": [ 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": "孙兴亮", "email": "120220909821@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" }, { "true_name": "胡志敏", "email": "huzhimin@itpcas.ac.cn", "work_for": "重庆师范大学", "country": "中国" }, { "true_name": "石凯丹", "email": "220220947451@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" }, { "true_name": "冯敏", "email": "mfeng@itpcas.ac.cn", "work_for": "中国科学院青藏高原研究所", "country": "中国" }, { "true_name": "郭学军", "email": "guoxj@itpcas.ac.cn", "work_for": "中国科学院青藏高原研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "孙兴亮", "email": "120220909821@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" }, { "true_name": "胡志敏", "email": "huzhimin@itpcas.ac.cn", "work_for": "重庆师范大学", "country": "中国" }, { "true_name": "石凯丹", "email": "220220947451@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "ds_managers": [ { "true_name": "郭学军", "email": "guoxj@itpcas.ac.cn", "work_for": "中国科学院青藏高原研究所", "country": "中国" } ], "category": "遥感及产品" }