ATHENA: remote sensing science center for cultural heritage in Cyprus

Geophysical Research Abstracts, 2016, Volume 18, EGU2016-PREVIEWThe envisage ATHENA center will be devoted to the development, introduction and systematic use of advanced remote sensing science and technologies in the field of archaeology and built cultural heritage, the multi-temporal analysis and interpretation and the distant monitoring of their natural and anthropogenic environment in the area of Eastern Mediterranean. ATHENA will take advantage of the current capabilities of Cyprus University of Technology (CUT), both in terms of technical and staff capacity and technological readiness of the existing Lab, performing advanced research to support CH sector. The Center aims to be in close collaboration with national and international research institutes and stakeholders, providing integrated remote sensing services and solutions in the area of Eastern Mediterranean, rendering that way ATHENA a center of knowledge and an established lab in the field of Remote Sensing Archaeology

The application of atmospheric correction algorithms in the satellite remote sensing of reservoirs

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN030741 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

The use of an improved atmospheric correction algorithm for removing atmospheric effects from remotely sensed images using an atmosphere-surface simulation and meteorological data

Unless effective corrections can be applied, satellite remote sensing data will remain modified by the absorption and scattering effects of the atmosphere through which the electromagnetic radiation must pass, between the Sun, the ground and the sensor. The true reflectance of the land will not be recoverable, and multi-temporal datasets will not be comparable as a result of the variability of the atmosphere. This article presents a method of removing atmospheric effects from satellite remote sensing images for low-reflectance areas, such as water, where the atmosphere accounts for the majority of the at-satellite measured radiance in the visible bands. The method uses visibility observations to select a reference image for the area of interest. The reflectance of the dark target is calculated after atmospheric correction from the reference image, and is used in conjunction with Turner and Spencer's atmosphere-surface simulation (Turner and Spencer, 1972) and Forster's method (Forster, 1984), to correct the remainder of the images. The method is applied to three large water treatment reservoirs to the west of Londo

Determination of turbidity in Kourris Dam in Cyprus utilizing Landsat TM remotely sensed data.

Determination of turbidity is a common component of water-quality assessments. In regions where there are a lot of inland waters such as dams, sampling even a small proportion of those dams for monitoring and assessing water quality is cost prohibitive. Satellite remote sensing has the potential to be a powerful tool for assessing water quality over large spatial scales. The overall objective of this study was to examine whether Landsat-5 TM (Thematic Mapper) and Landsat-7 ETM+ (Enhanced Thematic Mapper) could be used to measure turbidity across the Kourris Dam, which is the biggest dam in Cyprus. This paper presents the results obtained by applying the linear regression analysis in order to examine the relationship between the turbidity measurements measured in-situ during the satellite overpass against at-satellite atmospheric corrected reflectance values. It has been found that the reflectance, after atmospheric correction, at LandsatTMBands 1 and 3 is strongly related with turbidity levels after linear regression analysis. The most significant correlation was occurred when reflectance in TM band 3 and logarithmic reflectance in TM band 3 were correlated with turbidity measurements. Indeed, the correlation coefficient (R) when atmospheric corrected reflectance (ρ) in the LandsatTMband 3 were correlated against turbidity, before atmospheric correction was R = 0.38 and after atmospheric correction was R = 1; and when atmospheric corrected logarithmic reflectance (Log ρ) in the Landsat TM band 3 were correlated against turbidity, before atmospheric correction was R = 0.46 and after atmospheric correction was R = 1

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

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

Atmospheric correction algorithms for satellite water quality surveillance

Atmospheric correction algorithms for satellite water quality surveillance - 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 Atmospheric correction algorithms for satellite water quality surveillance Hope, VS, Hadjimitsis, DG and Clayton, CRI (1997) Atmospheric correction algorithms for satellite water quality surveillance. In Observations and Interactions: Proceedings of the 23rd Annual Conference of Remote Sensing Society, Reading. Remote Sensing Society. pp. 268-273 . Record type: Conference or Workshop Item (Paper) This record has no associated files available for download