Please use this identifier to cite or link to this item:
|Title:||Investigation of Cyprus thermal tenancy using nine year MODIS LST data and Fourier analysis||Authors:||Skarlatos, Dimitrios
Miliaresis, George Ch
Georgiou, Andreas G.
|Keywords:||Fourier analysis;Land surface temperature;Least Squares Estimation;MODIS;Multi-temporal imagery||Category:||Earth and Related Environmental Sciences||Field:||Natural Sciences||Issue Date:||1-Apr-2013||Publisher:||SPIE||Source:||1st International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2013; Paphos; Cyprus; 8 April 2013 through 10 April 2013||metadata.dc.doi:||10.1117/12.2028326||Abstract:||Land Surface Temperature (LST) is an extremely important parameter that controls the exchange of long wave radiation between surface and atmosphere. It is a good indicator of the energy balance at the Earth's surface and it is one of the key parameters in the physics of land-surface processes on regional as well as global scale. This paper utilizes monthly night and day averaged LST MODIS imagery over Cyprus for a 9 year period. Fourier analysis and Least squares estimation fitting are implemented to analyze mean daily data over Cyprus in an attempt to investigate possible temperature tenancy over these years and possible differences among areas with different land cover and land use, such as Troodos Mountain and Nicosia, the main city in the center of the island. The analysis of data over a long time period, allows questions such as whether there is a tenancy to temperature increase, to be answered in a statistically better way, provided that 'noise' is removed correctly. Dealing with a lot of data, always provides a more accurate estimation, but on the other hand, more noise in implemented on the data, especially when dealing with temperature which is subject to daily and annual cycles. A brief description over semi-automated data acquisition and standardization using object-oriented programming and GIS-based techniques, will be presented. The paper fully describes the time series analysis implemented, the Fourier method and how it was used to analyze and filter mean daily data with high frequency. Comparison of mean monthly daily LST against day and night LSTs is also performed over the 9 year period in order to investigate whether use of the extended data series provide significant advantage over short.||URI:||http://ktisis.cut.ac.cy/handle/10488/9725||ISBN:||978-081949638-6||Rights:||© 2013 SPIE.||Type:||Conference Papers|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
Show full item record
Page view(s) 5063
checked on Nov 21, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.