GapStats {ForestGapR} | R Documentation |
Forest Canopy Gaps Stats
Description
This function computes a series of forest canopy gap statistics
Usage
GapStats(gap_layer, chm_layer)
Arguments
gap_layer |
ALS-derived gap as |
chm_layer |
ALS-derived Canopy Height Model (CHM) |
Value
A data.frame containing forest canopy gap statistics
List of forest gaps statistics:
gap_id: gap id
gap_area - area of gap (m2)
chm_max - Maximum canopy height (m) within gap boundary
chm_min - Minimum canopy height (m) within gap boundary
chm_mean - Mean canopy height (m) within gap boundary
chm_sd - Standard Deviation of canopy heights (m) within gap boundary
chm_gini - Gini Coefficient of canopy heights (m) within gap boundary
chm_range - Range of canopy heights (m) within gap boundary
Author(s)
Carlos Alberto Silva.
Examples
# Loading raster library
library(raster)
# ALS-derived CHM over Adolpho Ducke Forest Reserve - Brazilian tropical forest
data(ALS_CHM_CAU_2012)
# set height thresholds (e.g. 10 meters)
threshold <- 10
size <- c(5, 10^4) # m2
# Detecting forest gaps
gaps_duc <- getForestGaps(chm_layer = ALS_CHM_DUC, threshold = threshold, size = size)
# Computing basic statistis of forest gap
gaps_stats <- GapStats(gap_layer = gaps_duc, chm_layer = ALS_CHM_DUC)