Vegetation mapping using hierarchical object‐based image analysis applied to aerial imagery and lidar data

Abstract

Aims: The primary objective of this study is to map the distribution and quantify the cover of vegetation alliances over the entirety of San Clemente Island (SCI). To this end, we develop and evaluate the mapping method of hierarchical object‐based classification with a rule‐based expert system.

Document Details

Document Type
Pub Defense Publication
Publication Date
Dec 15, 2019
Source ID
10.1111/avsc.12467

Entities

People

  • Andrew C. Loerch
  • Bryan Munson
  • Douglas A. Stow
  • John F. O'leary
  • Julie Lambert
  • Kellie A Uyeda
  • Kelsey K. Warkentin
  • Kimberly O'connor
  • Leslie A. Bolick
  • Rachel A. Snavely

Organizations

  • Naval Information Warfare Center Pacific
  • San Diego State University
  • United States Army Corps of Engineers
  • United States Pacific Fleet

Tags

Readers

  • Computer Vision.
  • Distributed Systems and Data Platform Development
  • Oceanography.