Daily cloudless MODIS Snow area ratio data set of the QTP (2000-2015)

Daily cloudless MODIS Snow area ratio data set of the QTP (2000-2015)

The daily cloudless MODIS Snow area ratio data set (2000-2015) of the Qinghai Tibet Plateau is based on MODIS daily snow product - mod10a1, which is obtained by using a cloud removal algorithm based on cubic spline interpolation.

The data set is projected by UTM with spatial resolution of 500m, providing daily snow cover FSC results in the Tibetan Plateau. The data set is a day-to-day document, from 24 February 2000 to 31 December 2015. Each file is the result of snow area proportion on that day, the value is 0-100%, which is envi standard file, the naming rule is: yyyddd_fsc_0.5km.img, where yyyy represents the year, DDD represents Julian day (001-365 / 366). Files can be opened and viewed directly with envi or ArcMap.

The original MODIS Snow data product for cloud removal comes from the mod10a1 product processed by the National Snow and Ice Data Center (NSIDC). This data set is in the format of HDF and uses the sinusional projection.

The attributes of the daily cloudless MODIS Snow area ratio data set (2000-2015) on the Qinghai Tibet Plateau consist of the spatial-temporal resolution, projection information and data format of the data set.

Temporal and spatial resolution: the temporal resolution is day by day, the spatial resolution is 500m, the longitude range is 72.8 ° ~ 106.3 ° e, and the latitude is 25.0 ° ~ 40.9 ° n.

Projection information: UTM projection.

Data format: envi standard format. File naming rules: "yyyyddd" + ". Img", where yyyy stands for year, DDD stands for Julian day (001-365 / 366), and ". Img" is the file suffix added for easy viewing in ArcMap and other software. For example, 2000055 ﹐ FSC ﹐ 0.5km.img represents the result on the 55th day of 2000. The envi file of this data set is composed of header file and body content. The header file includes row number, column number, band number, file type, data type, data record format, projection information, etc.; take 2000055 ﹣ FSC ﹣ 0.5km.img file as an example, the header file information is as follows:


Description = {envi file, created [sat APR 27 18:40:03 2013]}

Samples = 5760

Lines = 3300

Bands = 1

Header offset = 0

File type = envi standard

Data type = 1: represents byte type

Interleave = BSQ: data record format is BSQ

Sensor type = unknown

Byte order = 0

Map Info = {UTM, 1.500, 1.500, - 711320.359, 4526650.881, 5.0000000000e + 002, 5.0000000000e + 002, 45, north, WGS-84, units = meters}

Coordinate system string = {projcs ["UTM [u zone [45N], geocs [" GCS [WGS [1984], data ["d [WGS [1984", organization ID ["WGS [1984", 6378137.0298.257223563]], prime ["Greenwich", 0.0], unit ["degree", 0.01745532925199433]]] project ["transfer [Mercator"]] parameter ["false [easting", 500000.0], parameter ["false [easting", 500000.0], parameter [500000.0], parameter [500000.0], parameter [false [false [easting ", 500000.0], parameter], parameter [500000.0], parameter [500000.0], parameter [500000.0], parameter [false [easting", 500000.0], parameter [500000.0], parameter [500000.0], parameter [500000.0], parameter ["false_northing", 0.0], parameter ["central_meridian", 87.0], parameter ["scale" _Factor ", 0.9996], parameter [" latitude ﹣ of ﹣ origin ", 0.0], unit [" meter ", 1.0]]}

Wavelength units = unknown, band names = {2000055}

File naming and required software

The naming rule is yyyddd_fsc_0.5km.img, where yyyy stands for the year and DDD stands for Julian day (001-365 / 366). Files can be opened and viewed directly with envi or ArcMap and other software.

Data Citations Data citation guideline What's data citation?
Cite as:

Tang, Z., Wang, J. (2019). Daily cloudless MODIS Snow area ratio data set of the QTP (2000-2015). A Big Earth Data Platform for Three Poles, DOI: 10.3972/westdc.024.2013.db. CSTR: 18406.11.westdc.024.2013.db. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Tang ZG , Wang J, Li HY, Yan LL. Spatiotemporal changes of snow cover over the Tibetan plateau based on cloud-removed moderate resolution imaging spectroradiometer fractional snow cover product from 2001 to 2011. Journal of Applied Remote Sensing, 2013, 7: 073582-1. doi:10.1117/1.JRS.7.073582.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

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National Nature Science Foundation of China (No:41501070)

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)

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Geographic coverage
East: 106.30 West: 72.80
South: 25.00 North: 40.90
  • Temporal resolution: Daily
  • Spatial resolution: m
  • File size: 82,738 MB
  • Views: 12766
  • Downloads: 108
  • Access: Open Access
  • Temporal coverage: 2000-03-15 To 2016-01-19
  • Updated time: 2021-04-19
: TANG Zhiguang   WANG Jian  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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