dc.contributor.author |
Roberts, JW
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dc.contributor.author |
Van Aardt, J
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dc.contributor.author |
Ahmed, FB
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dc.date.accessioned |
2009-09-29T12:29:19Z |
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dc.date.available |
2009-09-29T12:29:19Z |
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dc.date.issued |
2008-07 |
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dc.identifier.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 |
en |
dc.identifier.issn |
1682-1750 |
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dc.identifier.uri |
http://www.isprs.org/congresses/beijing2008/proceedings/8_pdf/11_WG-VIII-11/08.pdf
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dc.identifier.uri |
http://hdl.handle.net/10204/3624
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dc.description |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII, Part B8, Beijing, China, 3-11 July 2008 |
en |
dc.description.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). |
en |
dc.language.iso |
en |
en |
dc.subject |
Synthetic aperture radar |
en |
dc.subject |
SAR |
en |
dc.subject |
Image fusion |
en |
dc.subject |
Forest structure assessment |
en |
dc.subject |
RadarSAT-1 |
en |
dc.subject |
ASTER |
en |
dc.subject |
Discrete wavelet transformation |
en |
dc.subject |
International archives of the photogrammetry, remote sensing and spatial information sciences |
en |
dc.subject |
Remote sensing |
en |
dc.subject |
Medium resolution image fusion |
en |
dc.subject |
Photogrammetry |
en |
dc.subject |
Spatial information sciences |
en |
dc.title |
Medium resolution image fusion, does it enhance forest structure assessment |
en |
dc.type |
Conference Presentation |
en |
dc.identifier.apacitation |
Roberts, J., Van Aardt, J., & Ahmed, F. (2008). Medium resolution image fusion, does it enhance forest structure assessment. http://hdl.handle.net/10204/3624 |
en_ZA |
dc.identifier.chicagocitation |
Roberts, JW, J Van Aardt, and FB Ahmed. "Medium resolution image fusion, does it enhance forest structure assessment." (2008): http://hdl.handle.net/10204/3624 |
en_ZA |
dc.identifier.vancouvercitation |
Roberts J, Van Aardt J, Ahmed F, Medium resolution image fusion, does it enhance forest structure assessment; 2008. http://hdl.handle.net/10204/3624 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Roberts, JW
AU - Van Aardt, J
AU - Ahmed, FB
AB - 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).
DA - 2008-07
DB - ResearchSpace
DP - CSIR
KW - Synthetic aperture radar
KW - SAR
KW - Image fusion
KW - Forest structure assessment
KW - RadarSAT-1
KW - ASTER
KW - Discrete wavelet transformation
KW - International archives of the photogrammetry, remote sensing and spatial information sciences
KW - Remote sensing
KW - Medium resolution image fusion
KW - Photogrammetry
KW - Spatial information sciences
LK - https://researchspace.csir.co.za
PY - 2008
SM - 1682-1750
T1 - Medium resolution image fusion, does it enhance forest structure assessment
TI - Medium resolution image fusion, does it enhance forest structure assessment
UR - http://hdl.handle.net/10204/3624
ER -
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en_ZA |