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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 3, pp. 62-76

A software development approach for open pits monitoring based on Normalized Difference Activity Index and Sentinel-1 SAR data

S.E. Popov 1 , V.P. Potapov 1 , R.Yu. Zamaraev 1 
1 Federal Research Center for Information and Computational Technologies, Novosibirsk, Russia
Accepted: 10.06.2022
DOI: 10.21046/2070-7401-2022-19-3-62-76
Intensive open pit mining may result in dramatic ground deformation over large areas. It leads to severe ecological and technogenic consequences. Therefore, it is extremely important to use remote monitoring to study various surface effects, particularly in inaccessible areas, where repeated observations are not available for a number of reasons (permanent mining work, quarry blasting etc.). In this study we propose new approaches to the high-loaded computing procedures development for Normalized Difference Activity Index (NDAI) calculation and the process of its integration into remote monitoring system. In our approach, the procedures are represented as a special structured graph formed as a JSON-file. Each element of the graph corresponds to a regular Java-class containing the implementation of the corresponding procedures due to Sentinel-1 API Toolbox library specifications. The graph is executed stage-wise inside a specific entity called a container in terms of Docker software platform. Each container encompasses a full software stack essential for the activity index calculation. We create a special “docker-compose” configuration file to operate the graph execution process inside the container. Thereby, containerization allows automating the deployment and integration process by abstracting and encapsulating interactions between the monitoring system and the module program code. In this work, we demonstrate a containerized module embedded into the interactive monitoring system, which is designed to run containers and to visualize the results as RGB composite schemes on online map services. The system is built on a three-layer component model (frontend, middleware and backend layers). It is available at http://radarmon.ict.nsc.ru:8100. For test purposes, we used Sentinel 1A/B InSAR datasets of coherence images to compute NDAI values for Krasnobrodsky open-pit mine area in Kemerovo region (Russia) for the period from April 2019 to May 2021. The obtained composite scheme revealed that active dump formation took place along technical roads and unused sites. These conclusions were confirmed by retrospective images from Google Earth.
Keywords: Normalized Difference Activity Index, radar interferometry, coherence, Sentinel-1, containerization
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