Package: lidaRtRee 4.0.8
lidaRtRee: Forest Analysis with Airborne Laser Scanning (LiDAR) Data
Provides functions for forest objects detection, structure metrics computation, model calibration and mapping with airborne laser scanning: co-registration of field plots (Monnet and Mermin (2014) <doi:10.3390/f5092307>); tree detection (method 1 in Eysn et al. (2015) <doi:10.3390/f6051721>) and segmentation; forest parameters estimation with the area-based approach: model calibration with ground reference, and maps export (Aussenac et al. (2023) <doi:10.12688/openreseurope.15373.2>); extraction of both physical (gaps, edges, trees) and statistical features useful for e.g. habitat suitability modeling (Glad et al. (2020) <doi:10.1002/rse2.117>) and forest maturity mapping (Fuhr et al. (2022) <doi:10.1002/rse2.274>).
Authors:
lidaRtRee_4.0.8.tar.gz
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lidaRtRee.pdf |lidaRtRee.html✨
lidaRtRee/json (API)
NEWS
# Install 'lidaRtRee' in R: |
install.packages('lidaRtRee', repos = c('https://jmmonnet.r-universe.dev', 'https://cloud.r-project.org')) |
Pkgdown site:https://lidar.pages.mia.inra.fr
- chm_chablais3 - Canopy height model
- quatre_montagnes - Field plot inventory in the Quatre Montagnes area
- tree_inventory_chablais3 - Tree inventory data in France
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 27 days agofrom:5a551ab6b5. Checks:7 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Jan 23 2025 |
R-4.5-win | OK | Jan 23 2025 |
R-4.5-linux | OK | Jan 23 2025 |
R-4.4-win | OK | Jan 23 2025 |
R-4.4-mac | OK | Jan 23 2025 |
R-4.3-win | OK | Jan 23 2025 |
R-4.3-mac | OK | Jan 23 2025 |
Exports:.aba_metricsaa_las_chablais3aba_build_modelaba_combine_strataaba_inferenceaba_metricsaba_plotaba_predictadd_vegetation_indicesboxcox_itrboxcox_itr_bias_corboxcox_trcimg2Rastercircle2Rasterclean_rasterclouds_metricsclouds_tree_metricsconvert_rastercoregistrationcreate_diskdem_filteringedge_detectionellipses4Crowngap_detectionheight_regressionhist_detectionhist_stacklma_checkmaxima_detectionmaxima_selectionplot_matchedplot_tree_inventorypointList2polypoints2DSMpoints2DTMpolar2Projectedraster_chull_maskraster_local_maxraster_metricsraster_xy_maskraster_zonal_statsraster2Cimgrasters_moving_corrasters2Corseg_adjustsegmentationspecies_colorstd_tree_metricsterrain_points_metricstree_detectiontree_extractiontree_matchingtree_segmentation
Dependencies:abindbackportsbase64encBHbmpbootbroombslibcachemcallrcarcarDatacheckmateclassclassIntclicolorspacecowplotcpp11data.tableDBIdensEstBayesDerivdescdigestdistributionaldoBydownloaderdplyre1071evaluatefansifarverfastmapfontawesomeFormulafsgenericsggplot2gluegridExtragtablegvlmahighrhtmltoolshtmlwidgetsigraphimagerinlineisobandjpegjquerylibjsonliteKernSmoothknitrlabelinglatticelazyevalleapslidRlifecyclelme4loomagrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgbuildpkgconfigpngposteriorprocessxproxypspurrrquantregQuickJSRR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreadbitmapreformulasreldistrglrlangrlasrmarkdownrstanrstantoolss2sassscalessfSparseMStanHeadersstarsstringistringrsurvivaltensorAterratibbletidyrtidyselecttifftinytexunitsutf8vctrsviridisLitewithrwkxfunyaml