Urban Feature Detection by Using Terra Sar-X and Optic Image


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Erener A. , Yakar M.

Lecture Notes in Information Technology, cilt.30, ss.316-320, 2012 (Diğer Kurumların Hakemli Dergileri)

  • Cilt numarası: 30 Konu: 1
  • Basım Tarihi: 2012
  • Dergi Adı: Lecture Notes in Information Technology
  • Sayfa Sayısı: ss.316-320

Özet

Meke Lake, known as the world's evil eye hosts numerous bird species and has a natural

beauty. It is a crater lake which is not like one another in the world and located in the district of Konya

Karapinar. Meke Lake's water, drawn from day to day which may be due to unconscious influence of

agricultural irrigation and/or lack of adequate rainfall in the region. In order to identify the size of the

problem and take necessary precautions, the current situation should be identified and the changes

should be determined. In this context, the main objective of this study includes to analyze the

temporal and spatial change and to identify the current situation of Meke lake by using multi-temporal

satellite image data integrated with GIS. This study employed Landsat images during the period from

1987 to 2009. Coastline change of Meke lake identified by using algorithms of change. The change

algorithm involves initially classification of remote sensing images for each period. Employing the

pixel-based classification, the images has been cross-classified in order to identify the "where to

where" change. The type, rate, and pattern of the changes among three years time is analyzed by

quantitatively by change matrix and also qualitatively by evaluation of spatial change map. As a result,

this study demonstrates the ability of GIS and Remote Sensing in capturing spatial-temporal data for

determining and updating LULC changes.