Home About Browse Search
Svenska


Estimation of forest variables using radargrammetry on TerraSAR-X data in combination with a high resolution DEM

Persson, Henrik and Fransson, Johan E.S. (2013). Estimation of forest variables using radargrammetry on TerraSAR-X data in combination with a high resolution DEM. I/In: Living Planet Symposium, 9-13 September 2013, Edinburgh, UK.
[Conference Paper]

[img]
Preview
PDF
571kB

Abstract

This study uses the backscattered intensity information from SAR images acquired with TerraSAR-X to derive Digital Surface Models with radargrammetry. Then the known ground elevation (from airborne lidar) is subtracted to get Canopy Height Models that are analysed and linked through regression analysis to the forest variables above-ground biomass and tree height. It was found, that the used constellation of image pairs and prediction models produced biomass estimations at stand level with 25.9% and 33.8% relative RMSE, while the height estimations were 11.5% and 12.3%. The analyses were tested at the Swedish test sites Krycklan and Remningstorp.

Authors/Creators:Persson, Henrik and Fransson, Johan E.S.
Title:Estimation of forest variables using radargrammetry on TerraSAR-X data in combination with a high resolution DEM
Series/Journal:ESA SP
Year of publishing :2013
Volume:2013
Number:SP-722
Page range:CD-ROM
Number of Pages:4
Place of Publication:ESTEC, Noordwijk, The Netherlands
Publisher:European Space Agency
ISBN for electronic version:978-92-9221-286-5
ISSN:0379-6566
Language:English
Publication Type:Conference Paper (Paper)
Article category:Other scientific
Version:Accepted version
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 202 Electrical Engineering, Electronic Engineering, Information Engineering > Signal Processing
(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:Forest Science, High resolution DEM
URN:NBN:urn:nbn:se:slu:epsilon-e-2969
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-2969
ID Code:11293
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:10 Nov 2015 11:09
Metadata Last Modified:15 Dec 2015 08:08

Repository Staff Only: item control page

Downloads

Downloads per year (since September 2012)

View more statistics

Downloads
Hits