TY - GEN
T1 - Uso de Sistemas de Información Geográfica en la Pérdida de Cobertura Forestal de la Amazonía. Una Revisión Sistemática entre los años 2010-2020
AU - Cespedes, Tiffany Valeria Cruz
AU - Alvarez, Solange Margot Gamboa
AU - Rojas, Jessica Marleny Luján
AU - Fernández, Grant Ilich Llaque
AU - Puscan, Marlon Walter Valderrama
N1 - Publisher Copyright:
© 2022 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2022
Y1 - 2022
N2 - This systematic review describes the use of geographic information systems to understand the loss of forest cover in the Amazon. The objective was to collect information on the loss of forest cover, from research articles. The PRISMA methodology was used, through 7 virtual libraries: Dialnet, Scielo, Redalyc, Proquest, Google Scholar, IOP Science and Science Direct, studies from the period 2010-2020 were selected in Spanish, English and Portuguese. Where the studies that did not meet the evaluation filters were excluded and the selected information was passed to a database matrix that included the title of the research, university, IMRD, author, year, concepts and. As results, a total of 1 doctoral theses and 49 scientific articles were obtained, of which an article registration matrix was made, characterization of the studies, showing a trend in 4 categories, which are: Geographic Information Systems, Remote Sensing, Indices of Vegetation and Forest Cover. Concluding that the multi-temporal analysis is the ideal method so that in a range of time it is possible to estimate a nd determine the degree of affectation and the rate of forest loss in the Amazon.
AB - This systematic review describes the use of geographic information systems to understand the loss of forest cover in the Amazon. The objective was to collect information on the loss of forest cover, from research articles. The PRISMA methodology was used, through 7 virtual libraries: Dialnet, Scielo, Redalyc, Proquest, Google Scholar, IOP Science and Science Direct, studies from the period 2010-2020 were selected in Spanish, English and Portuguese. Where the studies that did not meet the evaluation filters were excluded and the selected information was passed to a database matrix that included the title of the research, university, IMRD, author, year, concepts and. As results, a total of 1 doctoral theses and 49 scientific articles were obtained, of which an article registration matrix was made, characterization of the studies, showing a trend in 4 categories, which are: Geographic Information Systems, Remote Sensing, Indices of Vegetation and Forest Cover. Concluding that the multi-temporal analysis is the ideal method so that in a range of time it is possible to estimate a nd determine the degree of affectation and the rate of forest loss in the Amazon.
KW - Amazon
KW - Forest Cover
KW - Multitemporal Analysis
KW - Remote Sensing
KW - Satellite images
UR - https://www.scopus.com/pages/publications/85140040204
U2 - 10.18687/LACCEI2022.1.1.126
DO - 10.18687/LACCEI2022.1.1.126
M3 - Contribución a la conferencia
AN - SCOPUS:85140040204
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
A2 - Larrondo Petrie, Maria M.
A2 - Texier, Jose
A2 - Pena, Andrea
A2 - Viloria, Jose Angel Sanchez
T2 - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022
Y2 - 18 July 2022 through 22 July 2022
ER -