MODIStsp: Find, Download and Process MODIS Land Products Data

Allows automating the creation of time series of rasters derived from MODIS satellite land products data. It performs several typical preprocessing steps such as download, mosaicking, reprojecting and resizing data acquired on a specified time period. All processing parameters can be set using a user-friendly GUI. Users can select which layers of the original MODIS HDF files they want to process, which additional quality indicators should be extracted from aggregated MODIS quality assurance layers and, in the case of surface reflectance products, which spectral indexes should be computed from the original reflectance bands. For each output layer, outputs are saved as single-band raster files corresponding to each available acquisition date. Virtual files allowing access to the entire time series as a single file are also created. Command-line execution exploiting a previously saved processing options file is also possible, allowing users to automatically update time series related to a MODIS product whenever a new image is available. For additional documentation refer to the following article: Busetto and Ranghetti (2016) <doi:10.1016/j.cageo.2016.08.020>.

Version: 2.0.9
Depends: R (≥ 3.5.0)
Imports: assertthat, bitops (≥ 1.0-6), data.table (≥ 1.9.6), gdalUtilities, geojsonio, httr (≥ 1.4.2), jsonlite, parallel, raster (≥ 3.3.13), sf (≥ 0.9.3), stringr (≥ 1.0.0), xml2 (≥ 1.2.0), xts (≥ 0.9-7)
Suggests: dplyr, DT, formatR, geojsonlint, ggplot2, grid, httptest, knitr, leafem (≥ 0.1.3), leaflet, magrittr, mapedit (≥ 0.6.0), png, rappdirs, rgdal, rmarkdown, shiny, shinyalert (≥ 3.0.0), shinydashboard, shinyFiles (≥ 0.9.0), shinyjs, spelling, testthat, tibble, tibbletime, tidyr, qpdf, xtable
Published: 2022-08-26
Author: Lorenzo Busetto ORCID iD [aut], Luigi Ranghetti ORCID iD [aut, cre], Leah Wasser [rev] (Leah Wasser reviewed the package for rOpenSci, see https://github.com/ropensci/software-review/issues/184), Jeff Hanson [rev] (Jeff Hanson reviewed the package for rOpenSci, see https://github.com/ropensci/software-review/issues/184), Babak Naimi [ctb] (Babak Naimi wrote the function ModisDownload(), on which some MODIStsp internal functions are based)
Maintainer: Luigi Ranghetti <luigi at ranghetti.info>
BugReports: https://github.com/ropensci/MODIStsp/issues
License: GPL-3
URL: https://github.com/ropensci/MODIStsp/, https://docs.ropensci.org/MODIStsp/
NeedsCompilation: no
SystemRequirements: GDAL (>= 2.1.2) with support for HDF4 format, PROJ (>= 4.9.1).
Language: en-US
Citation: MODIStsp citation info
Materials: NEWS
In views: Hydrology
CRAN checks: MODIStsp results

Documentation:

Reference manual: MODIStsp.pdf
Vignettes: MODIStsp: A Tool for Automatic Preprocessing of MODIS Time Series - v2.0.5

Downloads:

Package source: MODIStsp_2.0.9.tar.gz
Windows binaries: r-devel: MODIStsp_2.0.9.zip, r-release: MODIStsp_2.0.9.zip, r-oldrel: MODIStsp_2.0.9.zip
macOS binaries: r-release (arm64): MODIStsp_2.0.9.tgz, r-oldrel (arm64): MODIStsp_2.0.9.tgz, r-release (x86_64): MODIStsp_2.0.9.tgz, r-oldrel (x86_64): MODIStsp_2.0.9.tgz
Old sources: MODIStsp archive

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