Evaluation of R tools for downloading MODIS images and their use in urban growth analysis of the city of Tarija (Bolivia)

Campero Taboada, Milton J.; Luquin Oroz, Eduardo Adrián; Montesino San Martín, Manuel; González de Audícana Amenábar, María; Campo-Bescós, Miguel

Publication:
Evaluation of R tools for downloading MODIS images and their use in urban growth analysis of the city of Tarija (Bolivia)

dc.contributor.author	Campero Taboada, Milton J.	es_ES
dc.contributor.author	Luquin Oroz, Eduardo Adrián
dc.contributor.author	Montesino San Martín, Manuel
dc.contributor.author	González de Audícana Amenábar, María
dc.contributor.author	Campo-Bescós, Miguel
dc.contributor.department	Estadística, Informática y Matemáticas	es_ES
dc.contributor.department	Estatistika, Informatika eta Matematika	eu
dc.contributor.department	Ingeniería	es_ES
dc.contributor.department	Ingeniaritza	eu
dc.contributor.department	Institute on Innovation and Sustainable Development in Food Chain - ISFOOD	en
dc.contributor.funder	Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa	es
dc.date.accessioned	2023-01-12T08:50:24Z
dc.date.available	2023-01-12T08:50:24Z
dc.date.issued	2022
dc.date.updated	2023-01-12T08:40:42Z
dc.description.abstract	The 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.sponsorship	The APC was funded by the THERRAE research group, by Public University of Navarre.	es_ES
dc.description.sponsorship	Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa	es
dc.format.mimetype	application/pdf	en
dc.format.mimetype	application/zip	en
dc.identifier.citation	Campero-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/rs14143404	es_ES
dc.identifier.doi	10.3390/rs14143404
dc.identifier.issn	2072-4292
dc.identifier.uri	https://academica-e.unavarra.es/handle/2454/44558
dc.language.iso	eng	en
dc.publisher	MDPI	es_ES
dc.relation.ispartof	Remote Sensing 2022, 14, 3404	es_ES
dc.relation.publisherversion	https://doi.org/10.3390/rs14143404	es_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) license	es_ES
dc.rights.accessRights	Acceso abierto / Sarbide irekia	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	es_ES
dc.subject	EVI	es_ES
dc.subject	MODIS	es_ES
dc.subject	R	es_ES
dc.subject	Urban growth	es_ES
dc.subject	Vegetation index	es_ES
dc.title	Evaluation of R tools for downloading MODIS images and their use in urban growth analysis of the city of Tarija (Bolivia)	es_ES
dc.type	Artículo / Artikulua	es
dc.type	info:eu-repo/semantics/article	en
dc.type.version	Versión publicada / Argitaratu den bertsioa	es
dc.type.version	info:eu-repo/semantics/publishedVersion	en
dspace.entity.type	Publication
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