Analyzing Remotely Sensed Forest Data


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Documentation for package ‘ForestTools’ version 0.2.5

Help Pages

.calcGLCM Calculate GLCM
.GLCMstats Calculate stats for GLCM
CHMdemo Canopy height model demo
ForestTools Forest Tools: A package for analyzing geospatial forest data
glcm Grey-Level Co-Occurrence Matrix
glcm0 Create a 0 degree GLCM
glcm135 Create a 135 degree GLCM
glcm45 Create a 45 degree GLCM
glcm90 Create a 90 degree GLCM
glcm_autoCorrelation GLCM Features
glcm_contrast GLCM Features
glcm_correlation GLCM Features
glcm_cProminence GLCM Features
glcm_cShade GLCM Features
glcm_cTendency GLCM Features
glcm_differenceEntropy GLCM Features
glcm_dissimilarity GLCM Features
glcm_energy GLCM Features
glcm_entropy GLCM Features
glcm_features GLCM Features
glcm_homogeneity1 GLCM Features
glcm_homogeneity2 GLCM Features
glcm_IDMN GLCM Features
glcm_IDN GLCM Features
glcm_img Get GLCM statistics for a single unsegmented image
glcm_inverseVariance GLCM Features
glcm_maxProb GLCM Features
glcm_mean GLCM Features
glcm_sumAverage GLCM Features
glcm_sumEntropy GLCM Features
glcm_sumVariance GLCM Features
glcm_variance GLCM Features
kootenayBlocks Kootenay forest - Cut blocks
kootenayCHM Kootenay forest - Canopy height model
kootenayCrowns Kootenay forest - Tree crowns
kootenayOrtho Kootenay forest - Orthomosaic
kootenayTrees Kootenay forest - Dominant trees over 2 m
mcws Marker-Controlled Watershed Segmentation
quesnelBlocks Quesnel forest - Cut blocks
quesnelCHM Quesnel forest - Canopy height model
quesnelTrees Quesnel forest - Dominant trees over 2 m
sp_summarise Spatial Summarization
vwf Variable Window Filter