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| Main Authors: | , , , , , , , |
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| Format: | Recurso digital |
| Language: | |
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Zenodo
2026
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.18508190 |
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Table of Contents:
- <p dir="ltr"><strong>Data set</strong></p> <p dir="ltr">Data set includes:</p> <ol> <li>"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.</li> <li>"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)</li> <li>"c_Tables.zip", including tables with: </li> </ol> <ul> <li> <ul> <li> <p dir="ltr">D1_LandsatImageryList: List of the 764 Landsat images used in VUB</p> </li> <li> <p dir="ltr">D2_TimeSeries_Data: Land cover areas and climate time series, median and average seasonal values, and the inter-seasonal values.</p> </li> <li> <p dir="ltr">D3_mCorResults: Correlation statistical analysis results based on Spearman's rank correlation coefficient.</p> </li> <li> <p dir="ltr">D4_PixelChanges: Pixel changes (%) between seasons</p> </li> <li> <p dir="ltr">D5_SnowWetland_StatFreq: Spatial Snow and Wetland statistics</p> </li> </ul> </li> </ul> <p><strong>Script - Google Earth Engine</strong></p> <p>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 </p>