Evaluation of R tools for downloading MODIS images and their use in urban growth analysis of the city of Tarija (Bolivia)
Fecha
2022Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión publicada / Argitaratu den bertsioa
Impacto
|
10.3390/rs14143404
Resumen
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 Sampl ...
[++]
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. [--]
Materias
EVI,
MODIS,
R,
Urban growth,
Vegetation index
Editor
MDPI
Publicado en
Remote Sensing 2022, 14, 3404
Departamento
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila /
Universidad Pública de Navarra. Departamento de Ingeniería /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Saila /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute on Innovation and Sustainable Development in Food Chain - ISFOOD
Versión del editor
Entidades Financiadoras
The APC was funded by the THERRAE research group, by Public University of Navarre. /
Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa