R/MODISdataTraining.R

In villandre/MRAinla: IS-MRA: An algorithm for large spatiotemporal datasets

#' MODIS Land Surface Temperature (LST) (Training set)
#'
#' A dataset containing Land Surface Temperature (LST) observations collected between May 18, 2012 and May 24, 2012 in the western part of the state of Maharashtra, India.
#'
#' @format A spacetime::STIDF object with 22,233 observations, and five variables:
#' \describe{
#'   \item{y}{LST readings in degrees Celsius.}
#'   \item{landCover*}{Dummy variables indicating Land Cover Classification (UMD type II). Reference category is Land Cover = 0 (water).}
#'   \item{elevation}{elevation values in meters.}
#'   \item{time*}{Dummy variables indicating observation time. Reference day is May 18 (= time1).}
#'   \item{Aqua}{Binary variable indicating whether the reading was collected by the Aqua or Terra Satellite ('1' corresponds to Aqua).}
#' }
#' @source \url{https://lpdaac.usgs.gov/products/mod11a1v006/}, \url{https://lpdaac.usgs.gov/products/mcd12q1v006/}, \url{https://modis-land.gsfc.nasa.gov/pdf/MOD16UsersGuideV2.022019.pdf}, \url{https://asterweb.jpl.nasa.gov/gdem.asp}
#'
"MODISdataTraining"