Extracting Canopy Surface Texture from Airborne Laser Scanning Data for the Supervised and Unsupervised Prediction of Area-Based Forest Characteristics

Research output: Contribution to journalArticle

Article number in E-publication (not DOI)582
JournalRemote sensing
Issue number7
Number of pages21
StatePublished - Jul 2016
MoE publication typeA1 Journal article-refereed

    Research areas

  • forest inventory, Light Detection And Ranging (LiDAR), surface modeling, Inverse DistanceWeighting (IDW) interpolation, image texture anisotropy, LOCAL BINARY PATTERNS, ALPHA SHAPE METRICS, LIDAR DATA, NONPARAMETRIC-ESTIMATION, AERIAL PHOTOGRAPHS, BRITISH-COLUMBIA, SPATIAL-PATTERN, INVENTORY DATA, DENSITY MODEL, IMAGE TEXTURE
  • 4112 Forestry

ID: 69780297