Land covers map using Sentinel-2 and Landsat-8 satellite images of the municipality of Covarachía - Colombia
DOI:
https://doi.org/10.52143/2346139X.930Keywords:
unsupervised classifiers, ground cover, satellite imagesAbstract
Agriculture is one of the fields in which the use
of soils is of importance, since having adequate
information makes it possible to demonstrate
the management of agroecosystems that is of
importance in mitigating climatic and environmental
impacts (Rega et al., 2020). Given the
different applications that need updated information
on land cover, it is difficult to have solutions
to all the needs due to the great variety of
users (Szantoi et al., 2020). In this article, Sentinel-
2 and Landsat-8 satellite images are used to
which supervised and unsupervised classifying
algorithms are applied to generate a map of the
land cover of the municipality of Covarachía
Colombia.
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References
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