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Estimation of forest parameters using 3D satellite data

stereogrammetry, radargrammetry and interferometry

Persson, Henrik (2014). Estimation of forest parameters using 3D satellite data. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis agriculturae Sueciae, 1652-6880 ; 2014:84
ISBN 978-91-576-8116-4
eISBN 978-91-576-8117-1
[Doctoral thesis]

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Abstract

Accurate data about the forest are needed both in climate research and forest management planning. This thesis focuses on using different types of three-dimensional (3D) satellite data sources to accurately estimate forest variables, primarily above-ground biomass (AGB) and tree height (H). Different satellite sensors have been used and compared, and depending on the sensors, the acquired satellite images have been processed in different ways to create 3D surface models. The three main processing alternatives have been stereogrammetry, radargrammetry and interferometry. The surface models were used together with digital terrain models from airborne laser scanning, to take the difference between the two in order to create canopy height models. The models have been built and evaluated on data from two test sites: Krycklan located in northern Sweden (Lat. 64°N, Long. 19°E) and Remningstorp in southern Sweden (Lat. 58°N, Long. 13°E).

The included studies have shown that 3D satellite data are efficient to use for accurate estimations of AGB and H at stand-level. Moreover, the optical stereogrammetric models can play a role in the boreal region, but to obtain accurate estimations they are dependent on rather high resolution, along-track data with pixel sizes smaller than 10 m. Radargrammetry applies stereogrammetry to radar images, which can be taken regardless of atmospheric conditions, time of day, or season. Data from TerraSAR X were used and AGB and H could be estimated with 22.9% and 7.7% root mean square error (RMSE), respectively, at stand-level. Interferometry was applied to data from the TanDEM-X mission and this technique was superior to stereogrammetric and radargrammetric techniques, where AGB and H could be estimated with 14.4% and 4.1% RMSE, respectively, at stand-level.

The first three studies in this thesis used empirical approaches and in contrast to this, the last two studies employed the two-level model (TLM), which has been developed with semi-empirical modeling based on simplified physical reasoning. The TLM also used TanDEM-X data and this showed potential for even more accurate predictions of forest related variables.

To conclude, this thesis shows the potential of 3D satellite data as a highly reliable and a widely applicable remote sensing data source for estimation of forest parameters.

Authors/Creators:Persson, Henrik
Title:Estimation of forest parameters using 3D satellite data
Subtitle:stereogrammetry, radargrammetry and interferometry
Series/Journal:Acta Universitatis agriculturae Sueciae (1652-6880)
Year of publishing :2014
Depositing date:19 November 2014
Volume:2014:84
Number of Pages:95
Papers/manuscripts:
NumberReferences
I.Persson, H., Wallerman, J., Olsson, H. and Fransson, J. E. S. (2013). Estimating forest biomass and height using optical stereo satellite data and a DTM from laser scanning data. Canadian Journal of Remote Sensing 39(3), 251-262.
II.Persson, H. and Fransson, J. E. S. (2014). Forest variable estimation using radargrammetric processing of TerraSAR-X images in boreal forests. Remote Sensing 6(3), 2084-2107.
III.Persson, H. and Fransson, J. E. S. Comparison between TanDEM-X and ALS based estimation of biomass and tree height in boreal forests (submitted manuscript).
IV.Soja, M. J., Persson, H. and Ulander, L. M. H. Estimation of forest height and canopy density from a single InSAR correlation coefficient (in press for publication in IEEE Geoscience and Remote Sensing Letters).
V.Soja, M. J., Persson, H. and Ulander, L. M. H. Estimation of forest biomass from two-level model inversion of single-pass InSAR data (submitted manuscript).
Place of Publication:Umeå
Publisher:Department of Forest Resource Management, Swedish University of Agricultural Sciences
ISBN for printed version:978-91-576-8116-4
ISBN for electronic version:978-91-576-8117-1
ISSN:1652-6880
Language:English
Publication Type:Doctoral thesis
Full Text Status:Public
Agris subject categories.:K Forestry > K11 Forest engineering
U Auxiliary disciplines > U40 Surveying methods
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Physical Geography
(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Other Earth and Related Environmental Sciences
(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
Agrovoc terms:boreal forests, biomass, forest trees, height, canopy, density, satellite imagery, radar satellite
Keywords:biomass, radar, SAR, forest, tree height, density, satellite, optical, stereogrammetry, radargrammetry, interferometry, TanDEM-X, ALOS-PRISM
URN:NBN:urn:nbn:se:slu:epsilon-e-2229
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-2229
ID Code:11658
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: Dr. Henrik Persson
Deposited On:19 Nov 2014 15:01
Metadata Last Modified:13 Dec 2014 13:08

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