cdmt: Change Detection by Multispectral Trends

#' Landsat time series of surface reflectance.
#'
#' A raster dataset containing annual surface reflectance in the SWIR2 band from 1985 to 2020.
#' The spatial subset covers a wildfire occurred in the Aosta Valley (Italy) during the winter of 2005.
#' Landsat imagery was acquired by the Thematic Mapper (TM), Enhanced Thematic Mapper + (ETM+) and Operational Land Imager (OLI)
#' sensors. Surface reflectance was derived from Level 1 Tier 1 imagery from Landsat Collection 1 in the USGS archive using the
#' Framework for Operational Radiometric Correction for Environmental monitoring (FORCE) software \insertCite{frantz2019force}{cdmt}.
#' Annual reflectance composites were produced using all the images acquired during the growing season (between June 1 and September 30).
#' The geometric median approach \insertCite{roberts2017high}{cdmt} was employed to generate reflectance composites at the pixel level.
#'
#' @format A \code{PackedSpatRaster} object with 36 layers, one per year.
#'
#' @references
#' \insertRef{frantz2019force}{cdmt}
#'
#' \insertRef{roberts2017high}{cdmt}
"lnd_sr"