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    A new method of removing atmospheric effects using pseudo-invariant targets

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    A new method of removing atmospheric effects using pseudo-invariant targets - ePrints Soton The University of Southampton Courses University life Research Business Global About Visit Alumni Departments News Events Contact × Search the Site Search Filter your search: All Courses Projects Staff University of Southampton Institutional Repository Search Advanced Search Policies & Help Latest Download Statistics Browse by Year Browse by Divisions LeftRight A new method of removing atmospheric effects using pseudo-invariant targets Hadjimitsis, DG, Clayton, CRI, Hope, VS and Retalis, A. (1999) A new method of removing atmospheric effects using pseudo-invariant targets. 25th Annual Conference and Exhibition of the Remote Sensing Society: Earth Observations - From Data to Information, Swansea, United Kingdom. Record type: Conference or Workshop Item (Paper) This record has no associated files

    Exploring the need for identifying suitable pseudo-invariant targets for applying atmospheric correction in multi-temporal studies using satellite remotely sensed imagery

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    Atmospheric correction is a complex process, which requires substantial modelling and computation, and a major difficulty is to obtain appropriate input parameters for the models. Numerous investigators have dealt with the development of simple or sophisticated approaches for the atmospheric correction of satellite images. However there is uncertainty about the effectiveness of such techniques especially when dealing with historical datasets in which input parameters for atmospheric models prove difficult to be obtained. The use pseudo-invariant targets in conjunction with radiative transfer calculations is an alternative atmospheric correction technique which offers a relatively simple mean of removing atmospheric effects in multi-temporal series of image data; providing that suitable pseudo-invariant targets can be easily identified on the satellite images and records on the their spectral characteristics are available. The spectral data of the proposed pseudo-invariant targets can be easily found in the literature from other studies. Indeed, this paper explores the need for identifying suitable pseudo-invariant targets, which are large in size, distinctive in shape and common in many geographical areas. This paper presents an application of use pseudo-invariant targets for removing atmospheric effects from Landsat TM and ETM+ satellite imagery acquired over different geographical areas such as in UK, Cyprus, Kazakhstan and Greece for environmental applications

    Investigating the potential of using satellite remote sensing for the assessment of water quality in large dams, and irrigation demand, in Cyprus

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    The storage of surface waters in large dams in Cyprus is of vital importance in supplying the local areas for irrigation and potable water purposes. At the current time, the Cyprus Water Development Department takes in-situ samples in every dam in order to ensure that the water meets the required standards, before the water passes to the water treatment works. The use o

    The assessment of atmospheric pollution using satellite remote sensing technology in large cities in the vicinity of airports

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    This paper investigates the potential of using satellite remotely sensed imagery for assessing atmospheric pollution. A novel approach, which comprised radiative transfer calculations and pseudo-invariant targets for determining aerosol optical thickness has been developed. The key parameter for assessing atmospheric pollution in photochemical air pollution studies is the aerosol optical thickness. The need for identifying suitable pseudo-invariant objects in satellite images of urban areas is of great interest for increasing the potential of earth observation for monitoring air pollution in such areas. The identification of large water bodies and concrete aprons that can serve as suitable dark and bright targets respectively in different geographical areas was demonstrated in this study. This study added evidence on the correlation found between the visibility values measured at Heathrow Airport area during satellite overpass and aerosol optical thickness derived from Landsat-5 TMband 1 images

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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