Development, implementation and technical support of PHOTOMOD software solutions for photogrammetric and radiometric processing of earth remote sensing data.
Technologies of space optical-electronic and radiometric survey, survey of the earth's surface from other sensors require the processing of this data and the provision of truly accurate information about the earth's surface. There are only three specialized software solutions in the world. This includes PHOTOMOD.
Sky, Space And Communication Technologies
Geographic information systems
The duration of the implementation of PHOTOMOD on customer workstations depends on the volume. Implementation consists of 2 parts: delivery of software to the customer and training (if required).
PHOTOMOD software is used all over the world. The main user is the Russian Federation and the CIS. One of the many users is China, South Korea, Pakistan, Uzbekistan, Kazakhstan, Australia, Czech Republic, Bulgaria, Greece.
First of all, our company is a fusion of scientific and software competence. The company has professionals in the field of geodesy, photogrammetry, radiometry, mathematics and programming. We implement comprehensive and individual implementation. Programs, guidelines, and laboratory work have been developed and implemented for Universities and secondary education institutions. As a developer and copyright holder, we use a flexible pricing approach to each customer. We have a full line of solutions for performing professional tasks in photogrammetry and radiometry. Specially developed training programs for all PHOTOMOD solutions are used in Russian and English, both face-to-face and remotely.
The companys activity is highly estemeeted by experts, as attested by our numerous awards and sertifications. - The Feodosy Kraskovsky Award for best scientific and technical development in geodesy and cartography (Russia, 2018) - The Most innovative Partner (GeoEye USA, 2019) - The Best Partner Software Award (SI Imagine, Korea, 2018) - Gold Medal GeoSiberia (Russia, 2006,2011-2013) - The Best Domestic Software (Russia, GeoSiberia, 2017-2024)
G. Goldbergs, S. Maier, etc. Efficiency of Individual Tree Detection Approaches Based on Light-Weight and Low-Cost UAS Imagery in Australian Savannas. Remote Sensing. 10(2), 161, 2018. • I. Balenović, A. Simic Milas, H. Marjanović. A Comparison of Stand-Level Volume Estimates from Image-Based Canopy Height Models of Different Spatial Resolutions. Remote Sensing 9 (3): 205, 2017 • I. Balenović, A. Seletković, R. Pernar. Accuracy comparison of photogrammetricaly estimated forest stand attributes on aerial images of different spatial resolution. Šumarski list 141 (1-2): 15-28, 2017
