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Estimating site index from short term TanDEM-X canopy height models

Persson, Henrik and Fransson, Johan (2016). Estimating site index from short term TanDEM-X canopy height models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9:8, 3598-3606
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Official URL: http://dx.doi.org/10.1109/JSTARS.2016.2563158

Abstract

The tree height growth from three vegetation seasons was fitted to height growth curves in order to estimate the site index, which is a variable related to forest site productivity. The tree height growth was evaluated for four different cases, in which remote sensing data from TanDEM-X and airborne laser scanning were used. The used method requires a digital terrain model and knowledge about the tree species. Furthermore, the remote sensing data were calibrated using Lorey'smean height heights or airborne laser scanning data. It was found that four annual acquisitions of calibrated TanDEM-X data covering three vegetation seasons could be used for estimating the site index on 27 0.5-ha field plots with 4.4-m (12.1%) RMSE. The site index could in a similarmanner be estimated from only two airborne laser scanning acquisitions, before and after four vegetation seasons, with 2.3-m (6.3%) RMSE.

Authors/Creators:Persson, Henrik and Fransson, Johan
Title:Estimating site index from short term TanDEM-X canopy height models
Series/Journal:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1939-1404)
Year of publishing :2016
Volume:9
Number:8
Page range:3598-3606
Number of Pages:9
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
ISSN:1939-1404
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 > K01 Forestry - General aspects
Subjects:(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 207 Environmental Engineering > Remote Sensing
(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Keywords:Site Index, Growth, TanDEM-X, InSAR, Height, ALS, DEM, SAR
URN:NBN:urn:nbn:se:slu:epsilon-e-3948
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-3948
Additional ID:
Type of IDID
Web of Science (WoS)000384907200024
ID Code:13918
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: SLUpub Connector
Deposited On:15 Feb 2017 07:42
Metadata Last Modified:15 Feb 2017 07:49

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