Integrating GIS and remote sensing for evaluation and monitoring of Omerli Region, Istanbul

Cigdem Goksel, Handan Turkoglu

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

The purpose of this study is to determine land use changes in an area using remotely sensing and GIS data. The analysis of the remotely sensed imagery and its integration with digital spatial data consisted of four major steps: 1) Landsat TM and SPOT P data were referenced to UTM projection System; 2) SPOT P and Landsat TM images were merged to provide high resolution land use/land cover information; 3) Unsupervised and supervised classification techniques were applied to the images to establish a land use and land cover GIS database, which was subsequently used for change detection analysis, and 4) An accuracy assessment was applied to the classification results to determine the overall accuracy of the study. For classified images of 1992, overall classification was 83.3 percent and for the classified images of 1997 was 80.3 percent. Finally the raster data were converted to vector data and were used in a GIS.

Original languageEnglish
Pages (from-to)1567-1572
Number of pages6
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume33
Publication statusPublished - 2000
Event19th International Congress for Photogrammetry and Remote Sensing, ISPRS 2000 - Amsterdam, Netherlands
Duration: 16 Jul 200023 Jul 2000

Bibliographical note

Publisher Copyright:
© 2000 International Society for Photogrammetry and Remote Sensing. All rights reserved.

Funding

This paper is a part of completed research project supported by Istanbul Technical University under the contract name "Application of GIS for Analyzing Landuse Change in Omerli Water Basin Area, Istanbul" (Project Number:837).

FundersFunder number
Istanbul Technical University
Genome Institute of Singapore:837

    Keywords

    • Change detection
    • Classification
    • GIS
    • Land use
    • Remote sensing

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