Ahmad Maryanto, Nugroho Widijatmiko, Wismu Sunarmodo, Muhammad Soleh, Rahmat Arief


One of the steps on mastery the remote sensing technology (inderaja) for satellite was the development of aerial camera prototype that could be an alternative for LAPAN light cargo aircraft mission (LAPAN Surveillance Aircraft, LSA-01). This system was expected could be operated to fulfill the emptiness or change the remote sensing data of optical satellite as the observer of vegetation covered by cloud. On this research, it was developed a prototype of pushbroom airborne camera 4-channels spectrum with very high resolution that worked on wavelength range seem near infra-red/ NIR used simple components that were available in the commercial market (commercial off-the-shelf/ COTS components). This research also developed georeference imagery software module used method of direct georeference rigorous model that had been applied on SPOT satellite. For this one, it was installed supported sensory for GPS and IMU as the writer of location coordinate and camera behavior while doing the imagery exposure or acquisition. The testing result gave confirmation that COTS components, such as industry camera LQ-200CL, and lower class GPS and IMU could be integrated became a cheaper remote sensing system, which its imagery product could be corrected systematically. The corrected data product showed images with GSD 0.4m still had positioning mistakes on average 157m (400 pixel) from the original position on GoogleEarth. On spectro-radiomatic aspect, the used camera had much higher sensitivity of NIR channel than the looked-channel so it caused bored faster. On the future, this system needed to be fixed by increasing the rate of GPS/ IMU data updates, and increased enough time resolution system so that the synchronization process and the availability supported data for completing more accurate georeference process. Besides, the sensitivity of NIR channel needed to be lower down to make it balance to the looked-channel.


airborne camera; industry camera; multispectrum; pushbroom

Full Text:



ITC, (2009), Principles of Remote Remote Sensing - An introductory text book 4th ed. K. Tempfli et al., eds., Enschede, The Netherlands: ITC.

Jones HG, Vaughan RA, (2010), Remote Sensing of Vegetation: Principles, Techniques, and Applications, OUP Oxford. Available at:

Korechoff V, Jovanovic VM, Lewicki SA, Smyth MM, Zong J., (1999), MISR Level 1 Georectification and Registration Algorithm Theoretical Basis Rev. D., California: JPL CIT. Available at:

Kwoh LK, Huang X, Tan WJ., (2012), Development of Camera Model and Geometric Calibration/Validation of Xsat Iris Imagery. ISPRS - International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences XXXIX-B1: 239–243.

Maryanto A., (2012), Konsep Georeferensi Langsung (Direct Georeferencing) Citra Pushbroom Sebagai Dasar Pengembangan Model Koreksi Geometrik Sistematik Citra LAPAN A-3, Jakarta.

Müller R, Lehner M, Muller R, Reinartz P, Schroeder M, Vollmer B., (2002), A Program for Direct Georeferencing of Airborne and Spaceborne Line Scanner Images. Proceedings of the ISPRS Commission I Symposium; Integrating Remote Sensing at the Global, Regional and Local Scale, pp148–153.

Papale D, Belli C, Gioli B, Miglietta F, Ronchi C, Vaccari FP, Valentini R., (2008), ASPIS, a flexible multispectral system for airborne remote sensing environmental applications. Sensors, 8(5):.3240–3256. doi: 10.3390/s 8053240.

Petrie G., (2005), Airborne Pushbroom Line Scanners: An alternative to Digital Frame Cameras. GeoInformatics, (January), 50–57. Available at: ~gpetrie/petrie50_57.pdf.

Poli D., (2002), Indirect Georeferencing Of Airborne Multi-Line Array Sensors: A simulated case study. 34(September), pp.246–251.

Poli D., (2005), Modelling of spaceborne linear array sensors. A dissertation submitted to the Swiss Federal Institute Of Technology Zurich. Swiss Federal Institute of Technology (ETH). Sutanto R (2013) Metode Penelitian Penginderaan Jauh, Yogyakarta: Penerbit Ombak. Available at:

Reeves RG., (1975), Manual of remote sensing vol.1 1st ed., Virginia: American Society of Photogrammetry. Available at: https://

Riazanoff S., Gleyzes JP., (2004), SPOT 123-4-5 Geometry Handbook revision 4. Y. SOMER, ed.

Sabins FF., (2007), Remote Sensing: Principles and Applications, Third Edition, Waveland Press. Available at: https://books. google.

Sandau R, Braunecker B, Driescher H, Wicki S., (2000), Design Principles of The Lh SYSTEMs Ads40 Airborne Digital Sensor. Archives XXXIII: 258–265.

USGS, (2016), Landsat 8 (L8) Data Users Handbook Version 2. K. Zanter, ed., Siaoux Falls, South Dakota.

Yang C, Westbrook JK, Suh CPC, Martin DE, Hoffman WC, Lan Y, Fritz BK, Goolsby JA., (2014), An Airborne Multispectral Imaging System Based on Two Consumer-Grade Cameras for Agricultural Remote Sensing. Remote Sensing, 6(6): 5257–5278. doi:10.3390/rs6065257

Zhang J, Yang C, Song H, Hoffman WC, Zhang D, Zhang G., (2016), Evaluation of An Airborne Remote Sensing Platform Consisting of Two Consumer-Grade Cameras For Crop Identification. Remote Sensing 8(3):1–23. doi:10.3390/rs8030 257.


  • There are currently no refbacks.