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). The 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 : 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.
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. The 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. Spatiotemporal 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. Projection information: UTM (transverse equiangular cutting cylinder) projection. Data format: ENVI standard format. File Naming convention : "MOD10A1. A"+"YYYYddd"+"_h25v05_Snow_SAD_Grid_2D_reproj_babaohe_nocloud"+". img", where YYYY represents the year and ddd represents the year Julian 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 Type, 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: ENVI Description={ ENVI File, Created [Wed Nov 26 11:50:00 2014]} Samples=187 Lines=132 Bands=1 Header offset=0 File type=ENVI Standard Data type=4: represents byte type Interleave=bsq: The data record format is BSQ Sensor type=Unknown Byte order=0 Map information={UTM, 1.000, 1.000, 596240.026, 4244174.613, 5.00 million 000e+002, 5.00 million 000e+002, 47, North, WGS-84, units=Meters} Coordinate system string= PROJCS ["UTM Zone_47N", GEOGCS ["GCS WGS 1984", DATUM ["D_WGS 1984", SPHEROID ["WGS 1984", 6378137.0298.25722356 3] PRIMEM ["Greenwich", 0.0], UNIT ["Degree", 0.0174532925199433], PROJECT ["Converse_Mercator"], PARAMETR ["False Eating", 500000.0], PARAM ETER ["False Northing", 0.0], PARAMETER ["Central Medium", 99.0], PARAMETR ["ScaleFactor", 0.9996], PARAMETR ["Latitude OfOrigin", 0.0], UNIT ["Meter 1.0]} Wavelength units=Unknown
A cloud removal algorithm based on cubic spline interpolation (Tang Zhiguang, 2013)
The dataset is controlled for quality through strict manual review
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CSTR:11738.11.ncdc.Westdc.db0006.2022
10.12072/ncdc.westdc.db3664.2023