Show simple item record

dc.creatorCampero Taboada, Milton J.es_ES
dc.creatorLuquin Oroz, Eduardo Adriánes_ES
dc.creatorMontesino San Martín, Manueles_ES
dc.creatorGonzález de Audícana Amenábar, Maríaes_ES
dc.creatorCampo-Bescós, Migueles_ES
dc.date.accessioned2023-01-12T08:50:24Z
dc.date.available2023-01-12T08:50:24Z
dc.date.issued2022
dc.identifier.citationCampero-Taboada, M. J., Luquin, E., Montesino-SanMartin, M., González-Audícana, M., & Campo-Bescós, M. A. (2022). Evaluation of R Tools for Downloading MODIS Images and Their Use in Urban Growth Analysis of the City of Tarija (Bolivia). Remote Sensing, 14(14), 3404. https://doi.org/10.3390/rs14143404es_ES
dc.identifier.issn2072-4292
dc.identifier.urihttps://hdl.handle.net/2454/44558
dc.description.abstractThe aim of this study was to compare the available tools in R for downloading and processing Moderate Resolution Imaging Spectroradiometer (MODIS) data, specifically the Enhanced Vegetation Index (EVI) product. The R tools evaluated were the MODIS package, RGISTools, MODISTools, R Google Earth Engine (RGEE) package, MODIStsp, and the Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) application. Each tool was used to download the same product (EVI) corresponding to the same day (3 December 2015), and downloaded data were used to analyze the urban growth of Tarija (Bolivia) as an interesting application. The following features were analyzed: download time and memory used during the download, additional postprocessing time, local memory occupied on the computer, and downloaded file formats. Results showed that the most efficient R tools were those that work directly in the “cloud” or use text queries (RGEE and AppEEARS, respectively) and provide, as a final product, a cropped.tif image according to the area of interest.es_ES
dc.description.sponsorshipThe APC was funded by the THERRAE research group, by Public University of Navarre.es_ES
dc.description.sponsorshipUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoaes
dc.format.mimetypeapplication/pdfen
dc.format.mimetypeapplication/zipen
dc.language.isoengen
dc.publisherMDPIes_ES
dc.relation.ispartofRemote Sensing 2022, 14, 3404es_ES
dc.rights© 2022 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) licensees_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/es_ES
dc.subjectEVIes_ES
dc.subjectMODISes_ES
dc.subjectRes_ES
dc.subjectUrban growthes_ES
dc.subjectVegetation indexes_ES
dc.titleEvaluation of R tools for downloading MODIS images and their use in urban growth analysis of the city of Tarija (Bolivia)es_ES
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.date.updated2023-01-12T08:40:42Z
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentIngenieríaes_ES
dc.contributor.departmentIngeniaritzaeu
dc.contributor.departmentInstitute on Innovation and Sustainable Development in Food Chain - ISFOODen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.doi10.3390/rs14143404
dc.relation.publisherversionhttps://doi.org/10.3390/rs14143404es_ES
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoaes


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

© 2022 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
Except where otherwise noted, this item's license is described as © 2022 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license

El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
Logo MinisterioLogo Fecyt