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Study on the land cover/use features by using ALOS-PALSAR data

Hwee San Lim(1), Mohd Zubir Mat Jafri(1), Khiruddin Abdullah(1) and Nasirun Mohd. Saleh(1)

(1) Universiti Sains Malaysia, School of Physics,, 11800 Penang, Malaysia

Abstract

Remote sensing technique gives a very useful tool for detecting and analyzing land cover/use features in our environment. This study was carried out to identity the land cover/use features over Penang Island, Malaysia. This research is an investigation to the multi polarized data of ALOS-PALSAR data for land cover/use mapping. The ALOS-PALSAR data used in this study were acquired on 1 November 2007 and 17 December 2007 respectively. The ALOS-PALSAR images of the study area were chosen for land cover mapping using the standard supervised classification techniques (maximum likelihood, minimum distance-to-mean and parallelepiped). Some filtering and enhancement methods had to be applied in order to reduce speckle noise and to contrast the images. Composite color images were produced for visual interpretation and field surveys. After investigation of the ground truth, representative areas of each land cover type were identified and allocated to the images. The PALSAR data of training areas were choose and selected based on the high resolution optical satellite imagery and were classified using supervised classification methods. The land cover information was extracted from the digital spectral bands using PCI Geomatica 9.1.8 software package. The accuracies of all classifications will be analyzed to evaluate the best performing combination. The results show that accurate land cover/use distribution maps can be produced from PALSAR data.

 

 

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