MODIStsp

A Tool for Automating Download and Preprocessing of 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, reprojection and resize of 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 to automatically update time series related to a MODIS product whenever a new image is available.

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Description file content

Package
MODIStsp
Title
A Tool for Automating Download and Preprocessing of MODIS Land Products Data
Type
Package
Version
1.3.8
Description
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, reprojection and resize of 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 to automatically update time series related to a MODIS product whenever a new image is available.
License
GPL-3
Depends
R (>= 3.1.3)
Imports
bitops (>= 1.0-6), data.table (>= 1.9.6), gdalUtils (>= 2.0.1.7), gWidgets (>= 0.0-54), gWidgetsRGtk2, methods, httr (>= 1.1.0), jsonlite, pacman, parallel, raster (>= 2.5-2), rgdal (>= 1.0-3), rgeos (>= 0.3-8), sp (>= 1.2-2), stringr (>= 1.0.0), xts (>= 0.9-7), xml2 (>= 1.2.0)
Suggests
testthat, spelling, knitr, rmarkdown, png, grid, httptest, sf(>= 0.6), leaflet, shiny, mapview (>= 2.3.0), mapedit (>= 0.4.1)
SystemRequirements
Cairo >= 1.0.0, ATK (>= 1.10.0), Pango (>= 1.10.0), GTK+ (>= 2.8.0), GLib (>= 2.8.0), Curl, GDAL (>= 1.6.3), PROJ.4 (>= 4.4.9)
URL
BugReports
https://github.com/ropensci/MODIStsp/issues
LazyData
true
VignetteBuilder
knitr
RoxygenNote
6.1.1
Encoding
UTF-8
Language
en-US
NeedsCompilation
no
Packaged
2019-03-08 11:06:29 UTC; lb
Author
Lorenzo Busetto [aut, cre] (), Luigi Ranghetti [aut] (), Leah Wasser [rev] (Leah Wasser reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/184), Jeff Hanson [rev] (Jeff Hanson reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/184)
Maintainer
Lorenzo Busetto
Repository
CRAN
Date/Publication
2019-03-08 12:02:44 UTC

install.packages('MODIStsp')

1.3.8

2 months ago

https://github.com/ropensci/MODIStsp

Lorenzo Busetto

GPL-3

Depends on

R (>= 3.1.3)

Imports

bitops (>= 1.0-6), data.table (>= 1.9.6), gdalUtils (>= 2.0.1.7), gWidgets (>= 0.0-54), gWidgetsRGtk2, methods, httr (>= 1.1.0), jsonlite, pacman, parallel, raster (>= 2.5-2), rgdal (>= 1.0-3), rgeos (>= 0.3-8), sp (>= 1.2-2), stringr (>= 1.0.0), xts (>= 0.9-7), xml2 (>= 1.2.0)

Suggests

testthat, spelling, knitr, rmarkdown, png, grid, httptest, sf(>= 0.6), leaflet, shiny, mapview (>= 2.3.0), mapedit (>= 0.4.1)

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