Interpretation of high-resolution imagery for detecting vegetation cover composition change after fuels reduction treatments in woodlands

•We compared field- and image-measured changes in vegetation cover and bare ground.•Image-interpretation slightly overestimated woody vegetation and bare ground cover.•Estimates of litter and herbaceous vegetation from image interpretation were poor.•Image interpretation is useful to monitor woody v...

Full description

Saved in:
Bibliographic Details
Published in:Ecological indicators 2014-10, Vol.45, p.570-578
Main Authors: Karl, Jason W., Gillan, Jeffrey K., Barger, Nichole N., Herrick, Jeffrey E., Duniway, Michael C.
Format: Article
Language:English
Subjects:
Animal and plant ecology
Animal, plant and microbial ecology
Applied ecology
Biological and medical sciences
botanical composition
Change detection
computer software
Conservation, protection and management of environment and wildlife
ecosystems
Estimates
Fuels
fuels (fire ecology)
Fundamental and applied biological sciences. Psychology
General aspects
General aspects. Techniques
ground vegetation
High-resolution
image analysis
Image detection
Image interpretation
Image quality
Imagery
Land cover
Litter
Monitoring
Parks, reserves, wildlife conservation. Endangered species: population survey and restocking
pinyon-juniper
plant litter
Rangeland monitoring
Remote sensing
Synecology
Teledetection and vegetation maps
Vegetation
vegetation cover
woodlands
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•We compared field- and image-measured changes in vegetation cover and bare ground.•Image-interpretation slightly overestimated woody vegetation and bare ground cover.•Estimates of litter and herbaceous vegetation from image interpretation were poor.•Image interpretation is useful to monitor woody vegetation for fuels reduction.•Benefits of image interpretation are objectivity, repeatability, and simplicity. The use of very high resolution (VHR; ground sampling distances
ISSN:1470-160X
1872-7034
DOI:10.1016/j.ecolind.2014.05.017