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Study on stability of reflectance characteristics of natural features for calibrating remote sensing data

The development of satellite technology in Malaysia is to ensure the availability of satellite imaging for the requirement of local remote sensing user. Apparently, low-quality images were produced from local remote sensing satellite. The vicarious calibration technique can be adopted to provide pos...

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Main Author: Che Sab, Nur Salisa
Format: Thesis
Language:English
Published: 2014
Subjects:
G70.39-70.6 Remote sensing
Online Access:http://eprints.utm.my/id/eprint/50775/25/NurSalisaCheSabMFGHT2014.pdf
http://eprints.utm.my/id/eprint/50775/
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spelling my.utm.507752020-07-12T03:31:26Z http://eprints.utm.my/id/eprint/50775/ Study on stability of reflectance characteristics of natural features for calibrating remote sensing data Che Sab, Nur Salisa G70.39-70.6 Remote sensing The development of satellite technology in Malaysia is to ensure the availability of satellite imaging for the requirement of local remote sensing user. Apparently, low-quality images were produced from local remote sensing satellite. The vicarious calibration technique can be adopted to provide post-calibration opportunity to overcome this problem. However, this approach has constraints in defining well establishing target bodies. Currently, reflectance based calibration approach had been used in the measurement but using only several test site as a calibration target. Malaysia with its tropical condition should be capable to provide natural bodies that stable enough to serve as calibration target. The main purpose of this study was to develop a spectral library for selected spatial features. The spectral library will serve as a reference for the calibration of the image data generated by the camera. Visible and near infrared (NIR) bands from Landsat 7 and SPOT XS images were used in this study to obtain reflectance value. These reflectance values were collected on the selected targets that are water bodies, dark dense vegetation, manmade features and cloud body. Reflectance curve of each features were compared with ASTER spectral library as reference. From the comparison it shows that reflectance curve from Landsat 7 and SPOT XS give almost similar reflectance curve with reference spectral library. The range of reflectance value for water features is from 0.018 to 0.028, vegetation features range from 0.01 to 0.5 and man-made features range from 0.05 to 0.4. Cloud features give range of reflectance values from 0.2 to 1. Statistical distribution for spectral reflectance was determined to calculate the mean, variance and standard deviation. These values were used to determine the minimum and maximum values of spectral reflectance for each feature. Graphs were plotted to show the interval of each features based on bands. From these graphs, there are maintain range of interval level which indicate that the measured reflectance is reliable enough for information extraction of the spectral library. 2014-04 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/50775/25/NurSalisaCheSabMFGHT2014.pdf Che Sab, Nur Salisa (2014) Study on stability of reflectance characteristics of natural features for calibrating remote sensing data. Masters thesis, Universiti Teknologi Malaysia, Faculty of Geoinformatiom and Real Estate. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:90560
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G70.39-70.6 Remote sensing
spellingShingle G70.39-70.6 Remote sensing
Che Sab, Nur Salisa
Study on stability of reflectance characteristics of natural features for calibrating remote sensing data
description The development of satellite technology in Malaysia is to ensure the availability of satellite imaging for the requirement of local remote sensing user. Apparently, low-quality images were produced from local remote sensing satellite. The vicarious calibration technique can be adopted to provide post-calibration opportunity to overcome this problem. However, this approach has constraints in defining well establishing target bodies. Currently, reflectance based calibration approach had been used in the measurement but using only several test site as a calibration target. Malaysia with its tropical condition should be capable to provide natural bodies that stable enough to serve as calibration target. The main purpose of this study was to develop a spectral library for selected spatial features. The spectral library will serve as a reference for the calibration of the image data generated by the camera. Visible and near infrared (NIR) bands from Landsat 7 and SPOT XS images were used in this study to obtain reflectance value. These reflectance values were collected on the selected targets that are water bodies, dark dense vegetation, manmade features and cloud body. Reflectance curve of each features were compared with ASTER spectral library as reference. From the comparison it shows that reflectance curve from Landsat 7 and SPOT XS give almost similar reflectance curve with reference spectral library. The range of reflectance value for water features is from 0.018 to 0.028, vegetation features range from 0.01 to 0.5 and man-made features range from 0.05 to 0.4. Cloud features give range of reflectance values from 0.2 to 1. Statistical distribution for spectral reflectance was determined to calculate the mean, variance and standard deviation. These values were used to determine the minimum and maximum values of spectral reflectance for each feature. Graphs were plotted to show the interval of each features based on bands. From these graphs, there are maintain range of interval level which indicate that the measured reflectance is reliable enough for information extraction of the spectral library.
format Thesis
author Che Sab, Nur Salisa
author_facet Che Sab, Nur Salisa
author_sort Che Sab, Nur Salisa
title Study on stability of reflectance characteristics of natural features for calibrating remote sensing data
title_short Study on stability of reflectance characteristics of natural features for calibrating remote sensing data
title_full Study on stability of reflectance characteristics of natural features for calibrating remote sensing data
title_fullStr Study on stability of reflectance characteristics of natural features for calibrating remote sensing data
title_full_unstemmed Study on stability of reflectance characteristics of natural features for calibrating remote sensing data
title_sort study on stability of reflectance characteristics of natural features for calibrating remote sensing data
publishDate 2014
url http://eprints.utm.my/id/eprint/50775/25/NurSalisaCheSabMFGHT2014.pdf
http://eprints.utm.my/id/eprint/50775/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:90560
_version_ 1674066152147386368
score 13.211869

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