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Ktisis
Doctoral thesis . 2011
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Improving atmospheric correction methods for aerosol optical thickness retrieval supported by in-situ observations and GIS analysis

Authors: Themistocleous, Kyriacos;

Improving atmospheric correction methods for aerosol optical thickness retrieval supported by in-situ observations and GIS analysis

Abstract

Atmospheric correction is an important pre-processing step required in many satellite remote sensing applications. Although there are several available atmospheric correction algorithms, there is limited literature available that examines their effectiveness using in-situ measurements from spectroradiometers and sun-photometers to retrieve reflectance and atmospheric properties. The aims of this thesis are to improve the Empirical Line Method of atmospheric correction, apply the improved Empirical Line Method and the Darkest Pixel method to retrieve the aerosol optical thickness (AOT), and to conduct an accuracy assessement of the results using in-situ measurements from spectroradiometers and sun-photometers. Five commonly located surface materials (gray asphalt, black asphalt, concrete, black sand and compacted sand) were identified as meeting the criteria for pseudo-invariant targets and their spectral signatures were measured from January 2010 to May 2011, in order to assess that their reflectance values did not change over time. The empirical line method was improved by using several pseudo-invariant targets of varying spectral characteristics. The Darkest Pixel method utilized the actual reflectance values of the darkest pixel in the selected area of interest. Eleven satellite images were atmospherically corrected using the improved empirical line method and the darkest pixel method with the actual reflectance values. The study found a strong agreement between the AOT values derived from the algorithm developed in this thesis and the in-situ AOT measurements from the sun photometers. A GIS analysis was conducted using the algorithm developed in this to produce thematic maps to identify AOT distribution in the greater area of Limassol. The proposed AOT retrieval algorithm is a fully image based method that explicits global applicability. The innovation of this thesis is the retrieval of AOT by developing an image-based algorithm based on the radiative transfer equation to derive AOT using the reflectance values from the empirical line and darkest pixel method of atmpspheric correction. Novel contributions to this thesis include the employment of pseudo-invariant targets for conducting accuracy assessment of both atmospheric correction methods, the improvement of the empirical line method using five pseudo-invariant targets of varying spectral characteristics and assessing the effects of wet and dry conditions on the pseudo-invariant targets. It is the first time that a GIS analysis has been conducted to automatically retrieve AOT using the radiative transfer equations. The integrated use of field spectroscopy, GIS and remote sensing for atmospheric correction of satellite imagery and AOT retrieval is an innovative contribution to the field of remote sensing. Diofantos G. Hadjimitsis (Research Supervisor) Nikolaos Soulakellis (Committee Memeber-Chairperson) Adrianos Retalis (Committee Memeber-Advisor) Nektarios Chrysoulakis (Committee Memeber-Advisor) Evangelos Akylas (Committee Member) A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Completed

Country
Cyprus
Related Organizations
Keywords

Ατμοσφαιρικοί μεθόδοι, Atmospheric methods, Τηλεπισκόπηση, Remote sensing

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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