Open AccessAnalysis of Deforested Area Using Google Earth Engine in The Period 2001-2020 In the Apurimac Region
Author(s) -
Walquer Huacani,
Nelson P. Meza,
Franklin Aguirre,
Darío D. Sanchez,
Evelyn N. Luque
Publication year - 2022
Publication title -
journal of internet and e-business studies
Language(s) - English
Resource type - Journals
ISSN - 2169-0391
DOI - 10.5171/2022.988227
Subject(s) - deforestation (computer science) , land cover , cover (algebra) , forest cover , scale (ratio) , decision tree , period (music) , computer science , geography , environmental science , data mining , cartography , land use , engineering , civil engineering , mechanical engineering , ecology , physics , acoustics , biology , programming language
The objective of this study is to analyze the deforestation of forest cover in the Apurimac region between 2001 and 2020 using the Google Earth Engine (GEE) platform, a planetary-scale platform for the analysis of environmental data. The methodology used in the analysis of the deforested area is based on the classification of cover, using a supervised classification method developed by the University of Maryland, based on a "decision tree".