@article{huacani2022analysis,
  title = {Analysis of Deforested Area Using Google Earth Engine in The Period 2001-2020 In the Apurimac Region},
  author = {Walquer Huacani and Nelson P. Meza and Franklin Aguirre and Darío D. Sanchez y Evelyn N. Luque},
  year = 2022,
  url = {https://ibimapublishing.com/articles/JIEBS/2022/988227/},
  journal = {Journal of Internet and e-business Studies},
  volume = 2022,
  pages = 14,
  doi = 10.5171/2022.988227,
  abstract = {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". For the characterization of the extent and change in coverage, the band channels of Landsat 7 and 8 satellite images were processed, respectively. For the processing, the updated data of the gross forest cover loss for the years 2001-2020 were used, making use of raster information, within the (GEE) platform. For the statistical treatment, descriptive statistics were applied to analyze the variables and establish if there is a correlation. The results of the study determined that there is a total deforested area of 3958.231 ha, with an annual rate of 109.15% for the year 2017 and with a negative annual rate of -67.05% for the year 2018, during the study period. It is concluded that in the descriptive statistics, the -p-value (bilateral) of significance is 0.81, which is greater than (0.05), then it is stated that there is no significant relationship between the variable’s deforestation and the years.},
  keywords = {Forest cover, deforestation, Google Earth Engine and Landsat},
  note = Article ID: 988227
}