A 30 m-resolution land use-land cover product for the Colombian Andes and Amazon using cloud-computing
2022
González-González, Andrés | Clerici, Nicola | Quesada, Benjamin
Land use-land cover (LULC) data are critical inputs for policy and scientific research in hydrology, climatology, territory planning and conservation. Colombia, a megadiverse country and deforestation hotspot on Earth, critically needs recent and high-resolution information on land use and land cover. Using Landsat OLI 8 data, we here present a new LULC product for the Colombian Amazon and Andes at 30 m × 30 m resolution for year 2018, using classification and validation procedures based on the Google Earth Engine cloud-based platform. The novel products show high overall accuracy (>90%), are achieved with high automatization and improve current coarser LULC datasets for Colombia. All the processing procedures used are open access and distributable to the scientific community.
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