Imports: assertthat, bitops (>= 1.0-6), data.table (>= 1.9.6),
gdalUtilities, httr (>= 1.4.2), jsonlite, geojsonio, parallel,
geojsonlint, leaflet, shiny, shinydashboard, shinyFiles,
shinyalert, shinyjs, rappdirs, leafem (>= 0.1.3), mapedit (>=

Title: Find, Download and Process MODIS Land Products Data
comment = "Leah Wasser reviewed the package for rOpenSci, see
comment = "Babak Naimi wrote the function ModisDownload(),
on which some MODIStsp internal functions are based"))
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
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
file is also possible, allowing users to automatically update time series
For additional documentation refer to the following article:
gdalUtilities, geojsonio, httr (>= 1.4.2), jsonlite, parallel,
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,
shinydashboard, shinyFiles (>= 0.9.0), shinyjs, spelling,
Packaged: 2020-12-10 16:44:47 UTC; lranghetti
Author: Lorenzo Busetto [aut] (<https://orcid.org/0000-0001-9634-6038>),
Luigi Ranghetti [aut, cre] (<https://orcid.org/0000-0001-6207-5188>),
Babak Naimi [ctb] (Babak Naimi wrote the function ModisDownload(), on
which some MODIStsp internal functions are based)

Packaged: 2021-08-03 06:01:06 UTC; lranghetti

testthat, tibble, tibbletime, tidyr, qpdf, xtable
Packaged: 2022-04-06 15:06:56 UTC; lranghetti

SystemRequirements: GDAL (>= 2.1.2) with support for HDF4 format, PROJ
Packaged: 2022-04-21 13:52:13 UTC; lranghetti

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
Packaged: 2022-08-26 20:57:51 UTC; lranghetti