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


Hadjimitsis, D.G., Clayton, C.R.I., Perdikou, P.N. and Retalis, A., (2003) Exploring the need for identifying suitable pseudo-invariant targets for applying atmospheric correction in multi-temporal studies using satellite remotely sensed imagery Ehlers, M. (ed.) In Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II (Proceedings Volume). SPIE Society. 708 pp, pp. 205-216. (doi:10.1117/12.463317).

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Description/Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Digital Object Identifier (DOI): doi:10.1117/12.463317
ISBNs: 9780819446688 (print)
Venue - Dates: Conference on Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II (Crete 2002), 2002-09-23 - 2002-09-26
Subjects:
ePrint ID: 53880
Date :
Date Event
September 2003Published
Date Deposited: 06 Aug 2008
Last Modified: 16 Apr 2017 17:48
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/53880

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