Published February 6, 2026 | Version v1
Dataset Open

Andean wetlands: seasonal variability and their interactions with the cryosphere

  • 1. ROR icon University of Fribourg
  • 2. ROR icon Institute of Science and Technology Austria
  • 3. ROR icon Swiss Federal Institute for Forest, Snow and Landscape Research
  • 4. ROR icon University of Sheffield
  • 5. ROR icon TU Wien

Description

Data set

Data set includes:

  1. "a_LandCover_tiff.zip", including the land cover classification results (.tif) per season from 2013 to 2022. Images are stored with the code: "LC_YYYY_SSS" with LC standing for Land Cover, YYYY the year, and SSS the season.
  2. "b_Traininng_Validation_Points.zip", including the Landsat mask areas (.tif), the training points (.shp) for random forest classification, and two validation point sets (.shp)
  3. "c_Tables.zip", including tables with: 
    • D1_LandsatImageryList: List of the 764 Landsat images used in VUB

    • D2_TimeSeries_Data: Land cover areas and climate time series, median and average seasonal values, and the inter-seasonal values.

    • D3_mCorResults: Correlation statistical analysis results based on Spearman's rank correlation coefficient.

    • D4_PixelChanges: Pixel changes (%) between seasons

    • D5_SnowWetland_StatFreq: Spatial Snow and Wetland statistics

Script - Google Earth Engine

The script to the land cover classification model in Google Earth Engine platform is additional included as .txt or found in the next link: https://code.earthengine.google.com/ef63db64831972b3ae873fc7bc9b09af?noload=true 

Files

a_LandCover_tiff.zip

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