Published December 7, 2019 | Version v1.0.2
Dataset Open

Daily MODIS snow cover maps for the European Alps from 2002 onwards at 250m horizontal resolution along with a nearly cloud-free version

  • 1. Institute for Earth Observation, Eurac Research, Bolzano, Italy

Description

NOTE: We discovered some errors in the data for images after February 2019. They will be fixed in version >= 1.1.x, until then, usage of the data after Feb 2019 is not advised. The rest of the data is fine.

 

This is the data to the same-titled Data paper, which can be found at https://doi.org/10.3390/data5010001.

Along with auxilary files for the cloudremoval package, and example scripts on how to access chunks of the data.

The files contain:

  1. python-cloudremoval-aux-data.tar.gz : auxilary data (altitude, aspect, ...) to run the cloudremoval module which can be found at https://gitlab.inf.unibz.it/earth_observation_public/modis_snow_cloud_removal
  2. python-example-data-access.html : Example script how to access parts of the data using python
  3. R-example-data-access.html : Example script how to access parts of the data using R
  4. zenodo_01_original.tar.gz : time series of snow cover maps, developed at the Institute for Earth Observation, Eurac Research, Bolzano, Italy. More information in same-title Data paper (https://doi.org/10.3390/data5010001), and for algorithm at https://doi.org/10.3390/rs5010110.
  5. zenodo_02_cloudremoval.tar.gz : time series of cloud filtered maps, based on 2. above, using code mentioned in 1. More information in same-titled Data paper.

 

The maps are GeoTIFF with integer based values:

0 = no data; 1 = snow; 2 = land; 3 = cloud; 4&5 = water bodies / nodata

 

Version history:

1.0.0 : initial upload
1.0.1 : changes after revision of Data paper
1.0.2 : added example scripts

 

 

Files

Files (5.0 GB)

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md5:59daf23e829ab898e6f17a797ad36d21
55.8 MB Download
md5:71f03a2ea9707efc7e58f313de5f3fa3
357.6 kB Download
md5:de4a1d658111b00bf1dc18d83454909c
1.1 MB Download
md5:8d912f098815862fa25338c1d9c5d062
2.5 GB Download
md5:4619cfafcff4add7e2903ba340d0eac7
2.4 GB Download

Additional details

Related works

Is documented by
Journal article: 10.3390/data5010001 (DOI)

Funding

European Commission
CliRSnow – Statistically combine climate models with remote sensing to provide high-resolution snow projections for the near and distant future. 795310