# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "aboveR" in publications use:'
type: software
license: MIT
title: 'aboveR: ''LiDAR'' Terrain Analysis and Change Detection from Above'
version: 1.0.0
doi: 10.32614/CRAN.package.aboveR
abstract: Terrain change detection, cut and fill volume estimation, terrain profiling,
  flood inundation analysis, slope and aspect computation, hillshade generation, contour
  extraction, reclamation monitoring, erosion analysis, and engineering export (LandXML,
  STL) from 'LiDAR' (Light Detection and Ranging) point clouds and digital elevation
  models ('DEMs'). Applications include surface mine reclamation monitoring, sediment
  pond capacity tracking, highwall safety classification, and erosion channel detection.
  Built on 'lidR' for point cloud I/O and 'terra' for raster operations. Includes
  access utilities for 'KyFromAbove' cloud-native elevation data on Amazon Web Services
  ('AWS') <https://kyfromabove.ky.gov/>. Methods for terrain change detection and
  volume estimation follow Li and others (2005) <https://doi.org/10.1016/j.geomorph.2004.10.007>.
authors:
- family-names: Lyons
  given-names: Chris
  email: chris.lyons@ky.gov
repository: https://chrislyonsky.r-universe.dev
repository-code: https://github.com/chrislyonsKY/aboveR
commit: 1eae78ec36cb63a4800bb89621b29d010f59ff68
url: https://github.com/chrislyonsKY/aboveR
date-released: '2026-04-02'
contact:
- family-names: Lyons
  given-names: Chris
  email: chris.lyons@ky.gov