Informations et ressources scientifiques
sur le développement des zones arides et semi-arides

Titre : Monitoring Changes Of Border And Areal Extent In Salt Lake By Using Multi-temproral Noaa-avhrr And Spot Xs/xi Images

Tuz Gölü’ndeki Sınır Ve Alan Değişimlerinin Çok Zamanlı Noaa-avhrr Ve Spot Xs/xı Uydu Görüntüleri İle İzlenmesi

Auteur : TURKAN Yelda

Université de soutenance : İstanbul Teknik Üniversitesi

Grade : Master of Science (2006)

Résumé
In the first chapter, thesis subject were briefly introduced and aim and scope of the thesis were explained. In the second chapter, fundamentals of remote sensing were explained. Remote Sensing is the science and art of obtaining information about an object, area, or phenomenon through the analysis of data acquired by a device that is not in contact with the object, area, or phenomenon under investigation. Remote Sensing process consist of two basic stages. These are “Data acquisition” and “Data analysis”. Electromagnetic radiation principles and electromagnetic spectrum were also explained for a better understanding of remote sensing process. Besides of these, energy interactions with atmosphere and earth surfaces were explained in this chapter. Satellite Systems were briefly explained in the third chapter. A satellite with remote sensors to observe the earth is called a remote-sensing satellite, or earth observation satellite. NOAA/AVHRR, MODIS, ENVISAT-MERIS, LANDSAT and SPOT Remote Sensing Satellite systems were introduced in details. In the fourth chapter, digital image processing techniques were explained. Image processing and analysis can be defined as the "act of examining images for the purpose of identifying objects and judging their significance". Remote sensing images are recorded in digital forms and then processed by the computers to produce images for interpretation purposes. In a most generalized way, a digital image is an array of numbers depicting spatial distribution of a certain field parameters. Properties of a digital image were explained in this chapter. Preprocessing of a digital image were also explained. Preprocessing is an important and diverse set of image preparation programs that act to offset problems with the band data and recalculate DN values that minimize these problems. Image restoration, image enhancement and image classification were explained in this chapter as preprocessing methods.

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