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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/3624

Title: Medium resolution image fusion, does it enhance forest structure assessment
Authors: Roberts, JW
Van Aardt, J
Ahmed, FB
Keywords: Synthetic aperture radar
SAR
Image fusion
Forest structure assessment
RadarSAT-1
ASTER
Discrete wavelet transformation
International archives of the photogrammetry, remote sensing and spatial information sciences
Remote sensing
Medium resolution image fusion
Photogrammetry
Spatial information sciences
Issue Date: Jul-2008
Citation: Roberts, JW, Van Aardt, J and Ahmed, FB. 2009. Medium resolution image fusion, does it enhance forest structure assessment. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII, Part B8, Beijing, China, 3-11 July 2008. pp 1053-1058
Abstract: This research explored the potential benefits of fusing optical and Synthetic Aperture Radar (SAR) medium resolution satellite-borne sensor data for forest structural assessment. Image fusion was applied as a means of retaining disparate data features relevant to modeling and mapping of forest structural attributes in even-aged (4-11 years) Eucalyptus plantations, located in the southern Kwazulu-Natal midlands of South Africa. Remote sensing data used in this research included the visible and near-infrared bands of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), as well as a fine beam (6.25 m resolution) RadarSAT-1 image. Both data sets were collected during the spring of 2006 and fused using a modified discrete wavelet transformation. Spatially referenced forest inventory data were also collected during this time, with 122 plots enumerated in 38 plantation compartments. Empirical relationships (optimized multiple regression) were used to test whether fused data sources produced superior statistical models. Secondary objectives of the paper included exploring the role of scale in terms of forest modelling at the plot and extended plot levels (Voroni diagrams). Results indicated that even an optimized multiple regression approach did not return accuracies suitable for plantation forestry applications (adjusted R2 of 0.55 and 0.6 for basal area and merchantable volume respectively).
Description: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII, Part B8, Beijing, China, 3-11 July 2008
URI: http://www.isprs.org/congresses/beijing2008/proceedings/8_pdf/11_WG-VIII-11/08.pdf
http://hdl.handle.net/10204/3624
ISSN: 1682-1750
Appears in Collections:Environmental management
Forestry and wood science
General science, engineering & technology

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