Geometric Accuracy Assessment of Very High-Resolution Optical Data Orthorectified using TerraSAR-X DSM to Support Disaster Management in Indonesia

Inggit Lolita Sari, Sukentyas Estuti Siwi, Randy Prima Brahmantara, Haris Suka Dyatmika, Agus Suprijanto, Kuncoro Adi Pradono


Advanced remote sensing satellite data with detail spatial resolution can be an alternative to aerial photography and outweigh in providing rapid and vast spatial, remote area, and consist of multispectral bands to produce continues information. The various types of very high spatial resolution satellite, benefit in producing information for large-scale mappings, such as updating an urban map and supporting disaster management for mitigation, preparedness, emergency response, and recovery effectively and efficiently. Large-scale mapping information for disaster management, particularly for quick response is essential to map the impacted sites, measure the number of houses and infrastructure damaged and determine the evacuation area. However, in producing large-scale mapping, the information should refer to the geospatial specification standard, such as accurate geometric, detail thematic information and completeness. This study aims to identify the use of Pleiades imagery for supporting large-scale mapping, including for disaster management by assessing the geometry accuracy from a standard product acquired from the ground station and precise orthorectification using different types of DSM, including TerraSAR-X and improvement using ground control points. The results show that the improved accuracy to meet geometric accuracy standard for scale 1:5000 can be achieved using a primary product data which process using an insertion of GCPs and selecting the better DSM, while for the standard ortho product can be achieved using shifting the coordinate position of the image. Assessment of the thematic extraction visually shows that the imagery meets the information for large-scale mapping, but detail attribution requires information from field data.


geometric; pleiades; TerraSAR-X; DSM; disaster management.

Full Text:



BNPB. Dampak Gempa Lombok: 460 Orang Meninggal Dunia dan Kerugian Ekonomi 7,45 Trilyun Rupiah (Lombok Earthquake causes 460 people killed, and 7.45 Trillion Rupiah Economic Loss) 2018.

Mukhlis T, Teukusyakur Dbd, Anhorn J. School Preparedness and Training for Geological Hazard Mitigation: An Example from Indonesia. Disaster Management and Human Health Risk V: Reducing Risk, Improving Outcomes. 2017;173:113.

Robi Amri, Gita Yulianti, Ridwan Yunus, Indonesia Risk Disaster In Indonesia National Agency for Disaster Management, the editor. 2016.

Dmitriev E. Classification of the forest cover of Tver oblast using hyperspectral airborne imagery. Izvestiya, Atmospheric and Oceanic Physics. 2014;50(9):929-42.

Hidayat R, Ando K, Masumoto Y, Luo J, editors. Interannual variability of rainfall over Indonesia: Impacts of ENSO and IOD and their predictability. IOP Conference Series: Earth and Environmental Science; 2016: IOP Publishing.

Indonesia National Agency for Disaster Management (BNPB). Information Data Natural Disaster in Indonesia: BNPB; 2018.

Li J, Li Y, Chapman MA. High-resolution satellite image sources for disaster management in urban areas. Geo-information for Disaster Management. 2005:1055-70.

Agrafiotis P, Georgopoulos A. Comparative Assessment of Very High-Resolution Satellite and Aerial Orthoimagery. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. 2015;40(3):1.

Alrajhi M, Janjua KS, Khan MA, Alobeid A. Updating Maps Using High-Resolution Satellite Imagery. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. 2016;41:711.

Sukojo BM, Nabilah S, editors. Analysis of Accuracy Orthorectification Pleiades and QuickBird Imagery to Creation of Based Map of Detail Spatial Plan for Open Green Space (Case Study: Part of Tuban Urban Area). IOP Conference Series: Earth and Environmental Science; 2018: IOP Publishing.

Felbier A, Esch T, Heldens W, Marconcini M, Zeidler J, Roth A, et al., editors. The global urban footprint—Processing status and cross-comparison to existing human settlement products. Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International; 2014: IEEE.

AIRBUS DS. Pleiades User Guide and Application Guide 2018.

De Oliveira CG, Paradella WR, Da Silva AdQ. Assessment of radargrammetric DSMs from TerraSAR-X Stripmap images in a mountainous relief area of the Amazon region. ISPRS Journal of photogrammetry and remote sensing. 2011;66(1):67-72.

Gim JH, Shin SH. Evaluating positional accuracy of Pleiades 1A satellite imagery in exploiting foreign natural resources. Spatial Information Research. 2016;24(2):85-92.

Fraser C, Hanley H, Yamakawa T, editors. Sub-meter geopositioning with Ikonos GEO imagery. Proceedings of Joint ISPRS Workshop on High-Resolution Mapping from Space; 2001: Hannover, Germany.

Head of BIG. The accuracy of Base Map. In: Geospatial Information Agency (BIG), editor. No 15 the Year 2014. Cibinong: The Ministry of Law and Human Rights of Indonesia.

Deng H, Huang S, Wang Q, Pan Z, Xin Y. Geometric accuracy assessment and correction of imagery from Chinese earth observation satellites (HJ-1 A/B, CBERS-02C, and ZY-3). The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. 2014;40(2):71.

Aguilar M, Agüera F, Aguilar F, Carvajal F. Geometric accuracy assessment of the orthorectification process from very high-resolution satellite imagery for Common Agricultural Policy purposes. International journal of remote sensing. 2008;29(24):7181-97.

Alganci U, Besol B, Sertel E. Accuracy Assessment of Different Digital Surface Models. ISPRS International Journal of Geo-Information. 2018;7(3):114.



  • There are currently no refbacks.

Published by INSIGHT - Indonesian Society for Knowledge and Human Development