Imports: data.table (>= 1.12.0), future, geometry, glue, grDevices,
lazyeval, Rcpp (>= 1.0.3), RCSF, rgeos, rgdal (>= 1.4.8), rgl,

Depends: R (>= 3.4.0),methods,raster,sp (>= 1.4.2)
lazyeval, Rcpp (>= 1.0.3), RCSF, rgeos, rgdal (>= 1.5.8), rgl,

person("Gatziolis", "Demetrios", email = "", role = ("ctb"), comment = "Implemented Gatziolis2019() for track_sensor()"),
person("Leon", "Steinmeier", email = "Lenostatos@gmx.de", role = ("ctb"), comment = "Contributed to parallelization management"))
Leon Steinmeier [ctb] (Contributed to parallelization management)

person("Leon", "Steinmeier", email = "", role = ("ctb"), comment = "Contributed to parallelization management"),
person("Stanislaw", "Adaszewski", email = "", role = ("cph"), comment = "Author of the C++ concaveman code"))
lazyeval, Rcpp (>= 1.0.3), rgl, rlas (>= 1.5.0), sf, stats,
Suggests: EBImage, gstat, RCSF, rgeos, mapview, mapedit, progress,
rgdal (>= 1.5-8), testthat (>= 2.1.0), knitr, rmarkdown
Leon Steinmeier [ctb] (Contributed to parallelization management),
Stanislaw Adaszewski [cph] (Author of the C++ concaveman code)

Title: Forest Analysis with Airborne Laser Scanning (LiDAR) Data
Description: Provides functions for forest analysis using airborne laser scanning (LiDAR remote sensing) data: tree detection (method 1 in Eysn et al. (2015) <doi:10.3390/f6051721>) and segmentation; forest parameters estimation and mapping with the area-based approach. It includes complementary steps for forest mapping: co-registration of field plots with LiDAR data (Monnet and Mermin (2014) <doi:10.3390/f5092307>); extraction of both physical (gaps, edges, trees) and statistical features from LiDAR data useful for e.g. habitat suitability modeling (Glad et al. (2020) <doi:10.1002/rse2.117>); model calibration with ground reference, and maps export.
Imports: graphics, stats, methods, grDevices, sp, raster, imager,
leaps, gvlma, car, reldist, lidR (>= 3.1.0)
Packaged: 2021-04-09 10:40:34 UTC; jean-matthieu

Packaged: 2021-04-10 16:19:05 UTC; jean-matthieu