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The present work aims to calculate the progression of deforestation in a specific geographical area and within given time limits, using Landsat satellite images. The work employs a methodology that starts with the download of images, processed with specialized programs such as Erdas, - Envi . Similarly, Grass was used to import images. rstudio was used to extract the features. A keras neural network was elaborated using the phyton programming language, a development that allowed to give a conclusion regarding the area of study.Book dedicated with much love to my children SANTIAGO and SAMUEL, I love them.…mehr

Produktbeschreibung
The present work aims to calculate the progression of deforestation in a specific geographical area and within given time limits, using Landsat satellite images. The work employs a methodology that starts with the download of images, processed with specialized programs such as Erdas, - Envi . Similarly, Grass was used to import images. rstudio was used to extract the features. A keras neural network was elaborated using the phyton programming language, a development that allowed to give a conclusion regarding the area of study.Book dedicated with much love to my children SANTIAGO and SAMUEL, I love them.
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Autorenporträt
Systems Engineer is afgestudeerd aan de Universiteit van Nariño met specialisaties in Senior Management, Public Management, specialist in Geografische Informatiesystemen, met een Master in Systems Engineering.