Evaluation of R Tools for Downloading MODIS Images and Their Use in Urban Growth Analysis of the City of Tarija (Bolivia)
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 Engin...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/14/3404 |
| _version_ | 1797443960417812480 |
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| author | Milton J. Campero-Taboada Eduardo Luquin Manuel Montesino-SanMartin María González-Audícana Miguel A. Campo-Bescós |
| author_facet | Milton J. Campero-Taboada Eduardo Luquin Manuel Montesino-SanMartin María González-Audícana Miguel A. Campo-Bescós |
| author_sort | Milton J. Campero-Taboada |
| collection | DOAJ |
| description | 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 post-processing 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. |
| first_indexed | 2024-03-09T13:05:39Z |
| format | Article |
| id | doaj.art-587d653c17d74c788c7ee38cda3cbbac |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T13:05:39Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-587d653c17d74c788c7ee38cda3cbbac2023-11-30T21:49:19ZengMDPI AGRemote Sensing2072-42922022-07-011414340410.3390/rs14143404Evaluation of R Tools for Downloading MODIS Images and Their Use in Urban Growth Analysis of the City of Tarija (Bolivia)Milton J. Campero-Taboada0Eduardo Luquin1Manuel Montesino-SanMartin2María González-Audícana3Miguel A. Campo-Bescós4Department of Engineering, IS-FOOD Institute (Innovation & Sustainable Food Chain Development), Public University of Navarre, 31006 Pamplona, Navarre, SpainDepartment of Engineering, IS-FOOD Institute (Innovation & Sustainable Food Chain Development), Public University of Navarre, 31006 Pamplona, Navarre, SpainDepartment of Statistics, Computer Science and Mathematics, InaMat2 Institute (Advanced Materials and Mathematics), Public University of Navarre, 31006 Pamplona, Navarre, SpainDepartment of Engineering, IS-FOOD Institute (Innovation & Sustainable Food Chain Development), Public University of Navarre, 31006 Pamplona, Navarre, SpainDepartment of Engineering, IS-FOOD Institute (Innovation & Sustainable Food Chain Development), Public University of Navarre, 31006 Pamplona, Navarre, SpainThe 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 post-processing 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.https://www.mdpi.com/2072-4292/14/14/3404MODISEVIRvegetation indexurban growth |
| spellingShingle | Milton J. Campero-Taboada Eduardo Luquin Manuel Montesino-SanMartin María González-Audícana Miguel A. Campo-Bescós Evaluation of R Tools for Downloading MODIS Images and Their Use in Urban Growth Analysis of the City of Tarija (Bolivia) Remote Sensing MODIS EVI R vegetation index urban growth |
| title | Evaluation of R Tools for Downloading MODIS Images and Their Use in Urban Growth Analysis of the City of Tarija (Bolivia) |
| title_full | Evaluation of R Tools for Downloading MODIS Images and Their Use in Urban Growth Analysis of the City of Tarija (Bolivia) |
| title_fullStr | Evaluation of R Tools for Downloading MODIS Images and Their Use in Urban Growth Analysis of the City of Tarija (Bolivia) |
| title_full_unstemmed | Evaluation of R Tools for Downloading MODIS Images and Their Use in Urban Growth Analysis of the City of Tarija (Bolivia) |
| title_short | Evaluation of R Tools for Downloading MODIS Images and Their Use in Urban Growth Analysis of the City of Tarija (Bolivia) |
| title_sort | evaluation of r tools for downloading modis images and their use in urban growth analysis of the city of tarija bolivia |
| topic | MODIS EVI R vegetation index urban growth |
| url | https://www.mdpi.com/2072-4292/14/14/3404 |
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