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Combining optical satellite data and airborne laser scanner data for vegetation classification

Nordkvist, Karin and Granholm, Ann-Helen and Holmgren, Johan and Olsson, Håkan and Nilsson, Mats (2012). Combining optical satellite data and airborne laser scanner data for vegetation classification. Remote sensing letters. 3:5, 393-401
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Official URL: http://dx.doi.org/10.1080/01431161.2011.606240

Abstract

The aim of this study was to investigate to which degree the accuracy of vegetation classification could be improved by combining optical satellite data and airborne laser scanner (ALS) data, compared with using satellite data only. A Satellite Pour l'Observation de la Terre (SPOT) 5 scene and Leica ALS 50-II data from 2009, covering a test area in the mid-Sweden (latitude 60° 43′ N, longitude 16° 43′ E), were used in maximum likelihood and decision tree classifications. Training and validation data were obtained from the interpretation of digital aerial photo stereo models. Combination of SPOT and ALS data gave classification accuracies up to 72%, compared with 56% using only SPOT data. This indicates that integrating features from large area laser scanning may lead to significant improvements in satellite data-based vegetation classifications.

Authors/Creators:Nordkvist, Karin and Granholm, Ann-Helen and Holmgren, Johan and Olsson, Håkan and Nilsson, Mats
Title:Combining optical satellite data and airborne laser scanner data for vegetation classification
Series/Journal:Remote sensing letters (2150-7058)
Year of publishing :2012
Volume:3
Number:5
Page range:393-401
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:Vegetation classification, Airborne laser scanning, SPOT
URN:NBN:urn:nbn:se:slu:epsilon-e-786
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-786
Additional ID:
Type of IDID
DOI10.1080/01431161.2011.606240
ID Code:9335
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
External funders:Swedish Environmental Protection Agency and Swedish National Space Board
Deposited By: Skogsbiblioteket Umeå
Deposited On:14 Dec 2012 14:14
Metadata Last Modified:02 Dec 2014 10:54

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