Home About Browse Search
Svenska


Change detection of mountain birch using multi-temporal ALS point clouds

Nyström, Mattias and Holmgren, Johan and Olsson, Håkan (2013). Change detection of mountain birch using multi-temporal ALS point clouds. Remote sensing letters. 4:2, 190-199
[Journal article]

[img]
Preview
PDF
540kB

Official URL: http://dx.doi.org/10.1080/2150704X.2012.714087

Abstract

The use of multi-temporal laser scanner data is potentially an efficient method for monitoring of vegetation changes, for example, at the alpine treeline. Methods for relative calibration of multi-temporal airborne laser scanning (ALS) data sets and detection of experimental changes of tree cover in the forest–tundra ecotone was tested in northern Sweden (68° 20′ N, 19° 01′ E). Trees were either partly or totally removed on 6 m radius sample plots to simulate two classes of biomass change. Histogram matching was successfully used to calibrate the laser metrics from the two data sets and sample plots were then classified into three change classes. The proportion of vegetation returns from the canopy was the most important explanatory variable, which provided an overall accuracy of 88%. The classification accuracy was clearly dependent on the density of the forest.

Authors/Creators:Nyström, Mattias and Holmgren, Johan and Olsson, Håkan
Title:Change detection of mountain birch using multi-temporal ALS point clouds
Series/Journal:Remote sensing letters (2150-7058)
Year of publishing :2013
Volume:4
Number:2
Page range:190-199
Publisher:Taylor & Francis
ISSN:2150-7058
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Accepted version
Full Text Status:Public
Agris subject categories.:K Forestry > K10 Forestry production
U Auxiliary disciplines > U40 Surveying methods
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Keywords:airborne laser scanning, lidar, vegetation, histogram matching, change detection, multi-temporal, forest
URN:NBN:urn:nbn:se:slu:epsilon-e-765
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-765
Additional ID:
Type of IDID
DOI10.1080/2150704X.2012.714087
ID Code:9293
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
External funders:Swedish Environmental Protection Agency
Deposited By: Skogsbiblioteket Umeå
Deposited On:10 Dec 2012 15:54
Metadata Last Modified:02 Dec 2014 10:53

Repository Staff Only: item control page

Downloads

Downloads per year (since September 2012)

View more statistics

Downloads
Hits