MODIS-based Daily Lake Ice Extent and Coverage Dataset for Tibetan Plateau [version 1]

Datacite citation style:
Qiu, Y. (Yubao); Xie, Pengfei; Leppäranta, M. (Matti); Wang, X. (Xingxing); Lemmetyinen, Juha et. al. (2019): MODIS-based Daily Lake Ice Extent and Coverage Dataset for Tibetan Plateau [version 1]. Version 1. 4TU.ResearchData. dataset.
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choose version: version 2 - 2019-06-12 (latest)
version 1 - 2019-03-12
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Tibetan Plateau
time coverage
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The present dataset was developed using the MODIS Normalized Difference Snow Index with a spatial resolution of 500 m as input for the SNOWMAP algorithm to detect lake ice from daily clear-sky observations. Furthermore, for cloud-cover conditions, lake ice was identified based on the spatial and temporal continuity of lake-ice data. On this basis, the daily lake-ice monitoring data of 2612 lakes of the Tibetan Plateau from 2002 to 2018 were calculated and classified. Moreover, a time-series analysis of lake ice coverage, which included lakes with surface area greater than 1 km2, was carried out to provide a clear list of lakes for which lake ice phenology can be estimated. The data set contains 5834 raster files, one vector file and 2612 Excel files (including 1134 time series with and without classification statistics). The raster file is named daily lake ice extent. The vector file contains such information as the number, name, location, surface area and classification number of the processed lake. The names of the excel files correspond to lake numbers. Each excel file contains four columns with the daily lake ice coverage information of its corresponding lake from July 2002 to June 2018. The attributes of each column are, successively, date, lake water coverage, lake ice coverage and cloud coverage. Users can first use the vector file to determine the number, location and classification number of a given lake, and then obtain the corresponding daily lake ice coverage data for a given year from the Excel file to use for the monitoring of lake-ice freeze-thaw and research on climate change.
  • 2019-06-12 first online
  • 2019-03-12 published, posted
4TU.Centre for Research Data
shapefiles, images, spreadsheets media types: application/octet-stream, application/, application/, application/zip, image/tiff, text/plain, text/xml
Chinese Academy of Sciences, Beijing, Institute of Remote Sensing and Digital Earth


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