Turkish satellite Göktürk-1 at work: Applications for artificial, natural and semi-natural resources, mapping and inventory

Marco Ottaviano, Elif Sertel, Marco Marchetti

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The present study aims to evaluate the land cover/use resource for high-resolution map production in a complex landscape mosaic in the central Italy. The classification methodologies are based on manual and supervised and rule-based classification of Göktürk-l very high resolution imagery. For the different classifications and for results validation the Italian land use inventory (IUTI) database were used. General spatial distributions of selected classes are successfully mapped with both classification approaches. Pixel-based classification results include some salt and pepper effects and spectral mixtures but still provides good delineation of the selected classes. Incorporating image indices, topological and textural functions into object-oriented classification improved the classification accuracy. However, the scale parameter is important to capture the detail levels obtained with Göktürk-l images. Moreover, considering the high spatial resolution of Göktürk-1 images, photointerpretation approach is also very suitable to identify objects specifically if more detailed classes will be considered. High quality spatial, spectral and radiometric characteristics of the Göktürk-1 satellite makes it possible to create thematically and geometrically detailed geo-spatial information for every local public administration or private sector without spatio-temporal limitations.

Original languageEnglish
Title of host publicationProceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019
EditorsS. Menekay, O. Cetin, O. Alparslan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages833-838
Number of pages6
ISBN (Electronic)9781538694480
DOIs
Publication statusPublished - Jun 2019
Event9th International Conference on Recent Advances in Space Technologies, RAST 2019 - Istanbul, Turkey
Duration: 11 Jun 201914 Jun 2019

Publication series

NameProceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019

Conference

Conference9th International Conference on Recent Advances in Space Technologies, RAST 2019
Country/TerritoryTurkey
CityIstanbul
Period11/06/1914/06/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • classification
  • high resolution layers
  • land use
  • remote sensing

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