Accuracy assessments of Göktürk-1 satellite imagery

Yıl 2020, Cilt: 5 Sayı: 3, 160 - 168, 01.10.2020

Gökhan Arasan Altan Yılmaz Orhan Fırat Ertuğrul Avşar Hasan Güner Kemal Ayğan Damla Yüce

https://doi.org/10.26833/ijeg.650899

Cited By: 1

Öz

Optical satellite imagery has an important place today in terms of responding to the increasing need for geospatial base in many different fields and disciplines, especially because of their availability and temporal resolution. Because all kinds of geospatial information and data production processes such as orthoimages, maps, vector data and etc. in especially for large project areas provide the opportunity to reduce the cost and time required in the field work, so the interest in high resolution satellite imagery. Göktürk-1, an electro-optical satellite that was launched on December 5, 2016 and acquiring 0.50 m spatial resolution imagery, aims to meet the high resolution image requirements of Turkey. In this study, the horizontal and vertical accuracy of the Digital Surface Model and orthoimages produced by different methods from stereo images obtained from Göktürk-1 satellite in two different regions were investigated. As a result, although the pointing accuracy and the Digital Surface Model accuracy produced from Göktürk-1 satellite imagery, will vary according to the incidence angle of Göktürk-1 satellite, the Digital Terrain Model used in the production of the orthoimage, the selected method for orientation of satellite imagery; a planimetric accuracy of better than ± 2 m RMSE in orthoimage and a height accuracy of better than ± 3 m RMSE is accomplished.

Anahtar Kelimeler

Göktürk-1, Satellite Imagery, Orthoimage, Orthorectification, Digital Surface Model, Geometric Accuracy

Kaynakça

• Cheng P. and Chaapel C., 2010. Pan-sharpening and geometric correction of WorldView-2 satellite. GEOInformatics 2010:30–33
• Di, K., Ma R. and Li R., 2003. Rational functions and potential for rigorous sensor model recovery. Photogrammetric Engineering and Remote Sensing, 69(1), 33-41
• Li, R., Zhou F., Niu X., and Di K., 2007. Integration of Ikonos and QuickBird Imagery for geopositioning accuracy analysis. Photogrammetric Engineering & Remote Sensing, 73 (9):1067–1074.
• Perko, R., Raggam, H. and Roth, P.M., 2019. Mapping with Pléiades—End-to-End Workflow. Remote Sensing 11 (17) 2052. DOI 10.3390/rs11172052
• Tao, V. and Hu, Y. 2002. 3D Reconstruction methods based on the rational function model. Photogrammetric Engineering Remote Sensing 68(7):705–714
• Telespazio, 2017 I. Göktürk-1 User Guide
• Telespazio, 2017 II. Göktürk-1 System Specification Technical Notes
• Telespazio, 2017 III. Göktürk-1 Product Specification Definitions Technical Notes
• Wang, S., Ren, Z., Wu, C., Lei, Q., Gong, W., Ou, Q., Zhang, H., Ren, G. and Li, C., 2019. DEM generation from Worldview-2 stereo imagery and vertical accuracy assessment for its application in active tectonics. Geomorphology. 336:107-118. DOI 10.1016/j.geomorph.2019.03.016.
• Yilmaz A., Erdogan M., Maras H.H., Aktug B. and Maras S.S., 2016. Did satellite imagery supersede aerial imagery? A perspective from 3D geopositioning accuracy. Arabian Journal of Geosciences (2016) 9: 324 DOI 10.1007/s12517-016-2386-x.
• Yilmaz A. and Erdogan M., 2020. Modelling the orthoimage accuracy using DEM accuracy and off-nadir angle, Geocarto International, 35 (1), 1-16. DOI: 10.1080/10106049.2018.1493157.
• Yilmaz A. and Erdogan M., 2018. Designing High Resolution Countrywide DEM For Turkey. International Journal of Engineering and Geosciences, 3 (3), 98-107. DOI: 10.26833/ijeg.384822.