八宝河流域逐日无云MODIS积雪面积比例数据集（2008.1.1-2014.6.1）是在MODIS逐日积雪产品—MOD10A1的基础上，采用一种基于三次样条函数插值的去云算法进行去云处理后得到(唐志广，2013)。\n该数据集采用UTM（横轴等角割圆柱）投影方式，空间分辨率500m，提供逐日的八宝河流域积雪反照率（Snow Albedo Daily-SAD）结果。数据集为逐日文件，从2008年1月1日到2014年6月1日。每个文件为当日的积雪反照率结果，数值为0-100（%），为ENVI标准文件，命名规则为\n：MOD10A1.AYYYYddd_h25v05_Snow_SAD_Grid_2D_reproj_babaohe_nocloud.img，其中YYYY代表年，ddd代表儒略日（001-365/366）。文件可直接用ENVI或者ARCMAP等软件打开察看。\n
", "ds_source": "美国国家雪冰数据中心（NSIDC）处理的MOD10A1产品，原始数据集为hdf格式，采用sinusoidal投影。进行去云处理的原始MODIS积雪数据产品来源于由美国国家雪冰数据中心（NSIDC）处理的MOD10A1产品，这一数据集为hdf格式，采用sinusoidal投影。\n八宝河流域逐日无云MODIS反照率数据集（2008.1.1-2014.1.1）属性由该数据集的时空分辨率、投影信息、数据格式组成。\n时空分辨率：时间分辨率为逐日，空间分辨率为500m，经度范围为100.2°～101.2°E，纬度为37.6°～38.3°N。\n投影信息：UTM（横轴等角割圆柱）投影。\n数据格式：ENVI标准格式。文件命名规则\n：\"MOD10A1.A\"+\"YYYYddd\"+\"_h25v05_Snow_SAD_Grid_2D_reproj_babaohe_nocloud\"+\".img\"，其中YYYY代表年，ddd代表\n儒略日（001-365/366），其中该数据集的ENVI文件是由头文件和主体内容构成。头文件包括行数、列数、波段数、文件\n类型、数据类型、数据记录格式、和投影信息等；以2000055_FSC_0.5km.img 文件为例，其头文件信息如下：\nENVI\ndescription = {\n ENVI File, Created [Wed Nov 26 11:50:00 2014]}\nsamples = 187\nlines = 132\nbands = 1\nheader offset = 0\nfile type = ENVI Standard\ndata type = 4 ：代表byte型\ninterleave = bsq ：数据记录格式为BSQ\nsensor type = Unknown\nbyte order = 0\nmap info = {UTM, 1.000, 1.000, 596240.026, 4244174.613, 5.0000000000e+002, 5.0000000000e+002, 47, North,\nWGS-84, units=Meters}\ncoordinate system string =\n{PROJCS[\"UTM_Zone_47N\",GEOGCS[\"GCS_WGS_1984\",DATUM[\"D_WGS_1984\",SPHEROID[\"WGS_1984\",6378137.0,298.25722356\n3]],PRIMEM[\"Greenwich\",0.0],UNIT\n[\"Degree\",0.0174532925199433]],PROJECTION[\"Transverse_Mercator\"],PARAMETER[\"False_Easting\",500000.0],PARAM\nETER[\"False_Northing\",0.0],PARAMETER\n[\"Central_Meridian\",99.0],PARAMETER[\"Scale_Factor\",0.9996],PARAMETER[\"Latitude_Of_Origin\",0.0],UNIT[\"Meter\n\",1.0]]}\nwavelength units = Unknown
", "ds_process_way": "基于三次样条函数插值的去云算法(唐志广，2013)。
", "ds_quality": "数据集通过严格的人工审核控制质量
", "ds_acq_start_time": "2008-01-01 00:00:00", "ds_acq_end_time": "2014-06-01 00:00:00", "ds_acq_place": "青藏高原", "ds_acq_lon_east": 101.19972222222222, "ds_acq_lat_south": 37.599722222222226, "ds_acq_lon_west": 100.19972222222222, "ds_acq_lat_north": 38.25, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 232681337, "ds_files_count": 4677, "ds_format": "*.img,*.hdr", "ds_space_res": "500.0m", "ds_time_res": "逐日", "ds_coordinate": "WGS84", "ds_projection": "UTM（横轴等角割圆柱）投影", "ds_thumbnail": "", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "None", "ds_from_station": null, "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e", "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": "2022-01-05 08:58:52", "last_updated": "2025-04-29 15:51:48", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Westdc.db0006.2022", "i18n": { "en": { "title": "Daily cloudless MODIS snow albedo data set in babaohe River Basin (2008-2014)", "ds_format": "*.img,*.hdr", "ds_source": "The original data set of MOD10A1 products processed by the National Snow and Ice Data Center (NSIDC) of the United States is in hdf format, and uses sinoidal projection. The original MODIS snow data product for cloud removal processing is sourced from the MOD10A1 product processed by the National Snow and Ice Data Center (NSIDC) in the United States. This dataset is in hdf format and uses sinusoidal projection.\nThe attributes of the daily cloudless MODIS Albedo dataset (January 1-2014.1.1, 2008) of Babaohe River basin consist of the spatio-temporal resolution, projection information and data format of the dataset.\nSpatiotemporal resolution: The temporal resolution is daily, the spatial resolution is 500m, the longitude range is 100.2 °~101.2 ° E, and the latitude is 37.6 °~38.3 ° N.\nProjection information: UTM (transverse equiangular cutting cylinder) projection.\nData format: ENVI standard format. File Naming convention\n: \"MOD10A1. A\"+\"YYYYddd\"+\"_h25v05_Snow_SAD_Grid_2D_reproj_babaohe_nocloud\"+\". img\", where YYYY represents the year and ddd represents the year\nJulian day (001-365/366), where the ENVI file of the dataset is composed of header file and body content. The Header file includes the number of lines, columns, bands, and files\nType, data type, data record format, and projection information; At 2000055_ FSC_ Taking the 0.5km.img file as an example, its Header file information is as follows:\nENVI\nDescription={\nENVI File, Created [Wed Nov 26 11:50:00 2014]}\nSamples=187\nLines=132\nBands=1\nHeader offset=0\nFile type=ENVI Standard\nData type=4: represents byte type\nInterleave=bsq: The data record format is BSQ\nSensor type=Unknown\nByte order=0\nMap information={UTM, 1.000, 1.000, 596240.026, 4244174.613, 5.00 million 000e+002, 5.00 million 000e+002, 47, North,\nWGS-84, units=Meters}\nCoordinate system string=\nPROJCS [\"UTM Zone_47N\", GEOGCS [\"GCS WGS 1984\", DATUM [\"D_WGS 1984\", SPHEROID [\"WGS 1984\", 6378137.0298.25722356\n3] PRIMEM [\"Greenwich\", 0.0], UNIT\n[\"Degree\", 0.0174532925199433], PROJECT [\"Converse_Mercator\"], PARAMETR [\"False Eating\", 500000.0], PARAM\nETER [\"False Northing\", 0.0], PARAMETER\n[\"Central Medium\", 99.0], PARAMETR [\"ScaleFactor\", 0.9996], PARAMETR [\"Latitude OfOrigin\", 0.0], UNIT [\"Meter\n1.0]}\nWavelength units=Unknown
", "ds_quality": "The dataset is controlled for quality through strict manual review
", "ds_ref_way": "", "ds_abstract": "The daily cloudless MODIS snow cover ratio dataset (January 1, 2008 to June 1, 2014) in the Babaohe River Basin is based on the MODIS daily snow cover product - MOD10A1, and is processed using a cloud removal algorithm based on cubic spline interpolation (Tang Zhiguang, 2013).\nThe dataset adopts UTM (horizontal equiangular cutting cylinder) projection mode, with a spatial resolution of 500m, and provides daily snow Albedo daily SAD results in the Babao River basin. The dataset is a daily file from January 1, 2008 to June 1, 2014. Each file is the snow Albedo result of the day, with a value of 0-100 (%). It is an ENVI standard file, and the Naming convention is\n: MOD10AI.AYYYddd_ H25v05_ Snow_ SAD_ Grid_ 2D_ Reproj_ Babaohe_ Nocloud.img, where YYYY represents the year and ddd represents Julian day (001-365/366). The file can be directly opened and viewed using software such as ENVI or ARCMAP.\n
", "ds_time_res": "逐日", "ds_acq_place": "Qinghai Tibet Plateau", "ds_space_res": "500.0m", "ds_projection": "UTM (transverse-axis equal-angle cut cylindrical) projection", "ds_process_way": "A cloud removal algorithm based on cubic spline interpolation (Tang Zhiguang, 2013)
", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "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, "belong_to_nieer": false, "ds_topic_tags": [ "MODIS", "积雪", "三次样条函数插值" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "青藏高原" ], "ds_time_tags": [ 2008, 2009, 2010, 2011, 2012, 2013, 2014 ], "ds_contributors": [ { "true_name": "王建", "email": "wjian@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "潘海珠", "email": "tangzhg11@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "潘海珠", "email": "tangzhg11@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "王建", "email": "wjian@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "遥感及产品" }