Forest-type mapping from airborne polarimetric SAR data

Mapping of forest types from satellite data is quite difficult due to poor spatial resolution. This study evaluates the use of polarimetric Airborne Synthetic Aperture Radar (AIRSAR) data to assess forest type distribution within the area of Endau Rompin Pahang, Malaysia. Radar backscattering coeffi...

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Main Authors: Seeni Mohd., Mohd. Ibrahim, Siou, Eric Chee Yoong, Yusoff, Safiah @ yusmah
Format: Conference or Workshop Item
Language:English
Published: 2001
Subjects:
Online Access:http://eprints.utm.my/1943/1/forest2001mism.pdf
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author Seeni Mohd., Mohd. Ibrahim
Siou, Eric Chee Yoong
Yusoff, Safiah @ yusmah
author_facet Seeni Mohd., Mohd. Ibrahim
Siou, Eric Chee Yoong
Yusoff, Safiah @ yusmah
author_sort Seeni Mohd., Mohd. Ibrahim
collection ePrints
description Mapping of forest types from satellite data is quite difficult due to poor spatial resolution. This study evaluates the use of polarimetric Airborne Synthetic Aperture Radar (AIRSAR) data to assess forest type distribution within the area of Endau Rompin Pahang, Malaysia. Radar backscattering coefficients were evaluated on the L and P band for HH, HV and VV polarization. Statistical evaluation was carried out to determine the Coffiencent ofr Variance (COV) and the best combination was determined by calculating the correlation among the bands.
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spelling utm.eprints-19432017-07-23T07:14:51Z http://eprints.utm.my/1943/ Forest-type mapping from airborne polarimetric SAR data Seeni Mohd., Mohd. Ibrahim Siou, Eric Chee Yoong Yusoff, Safiah @ yusmah Q Science (General) Mapping of forest types from satellite data is quite difficult due to poor spatial resolution. This study evaluates the use of polarimetric Airborne Synthetic Aperture Radar (AIRSAR) data to assess forest type distribution within the area of Endau Rompin Pahang, Malaysia. Radar backscattering coefficients were evaluated on the L and P band for HH, HV and VV polarization. Statistical evaluation was carried out to determine the Coffiencent ofr Variance (COV) and the best combination was determined by calculating the correlation among the bands. 2001-11 Conference or Workshop Item NonPeerReviewed application/pdf en http://eprints.utm.my/1943/1/forest2001mism.pdf Seeni Mohd., Mohd. Ibrahim and Siou, Eric Chee Yoong and Yusoff, Safiah @ yusmah (2001) Forest-type mapping from airborne polarimetric SAR data. In: 22nd Asian Conference on Remote Sensing, 5-9 November 2001, Singapore.
spellingShingle Q Science (General)
Seeni Mohd., Mohd. Ibrahim
Siou, Eric Chee Yoong
Yusoff, Safiah @ yusmah
Forest-type mapping from airborne polarimetric SAR data
title Forest-type mapping from airborne polarimetric SAR data
title_full Forest-type mapping from airborne polarimetric SAR data
title_fullStr Forest-type mapping from airborne polarimetric SAR data
title_full_unstemmed Forest-type mapping from airborne polarimetric SAR data
title_short Forest-type mapping from airborne polarimetric SAR data
title_sort forest type mapping from airborne polarimetric sar data
topic Q Science (General)
url http://eprints.utm.my/1943/1/forest2001mism.pdf
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