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About the Authors
Maretta L. Kazaryan
40, Pushkinskaya str., Vladikavkaz, Republic of North Ossetia Alania, 362019, Russia,
E-mail: marettak@bk.ru
Mikhail A. Shahramanian
4, Gorokhovsky ln., Moscow, 105064, Russia,
Financial University under the Government of the Russian Federation,
49, Leningradsky ave., Moscow, 125993, Russia,
E-mail: 7283763@mail.ru
Vladimir S. Tikunov
1, Leninskie Gory, Moscow, 119991, Russia,
E-mail: vstikunov@yandex.ru
Hui Lin
E-mail: huilin@cuhk.edu.hk
Abstract
Currently, geoinformation systems using Earth remote sensing data from space have taken strong positions in the field of economics, politics, and, practically, all spheres of human activity. As a consequence of human activity in urbanized areas, this is the emergence and further spread of unauthorized landfills and industrial waste. The littering of the planet is becoming an increasingly serious problem that we face in the modern world. Plastic waste, air and water pollution, improper waste disposal—all this damages the environment and can have long-term consequences for the planet and life on it. A variety of human diseases, such as chronic lung diseases, malignant tumors, and oncological diseases is directly related to atmospheric pollution, namely the gas component—landfill gas. In order to intervene in time and stop the spread of infection and changes in the soil composition of territories, etc., it is necessary to have a global automatic monitoring system for landfills and industrial waste. The purpose of the work is to design a model of a global automatic monitoring system for waste disposal facilities, including industrial ones, using Earth remote sensing technologies from space. Scientific novelty: a model of a global automatic space monitoring system for the processes of littering of the planet Earth is proposed. A general methodology is given for constructing a geoinformation model that monitors territories for the presence of waste disposal facilities. The analysis of modern prospects in the creation and operation of such automatic geoinformation systems using certain knowledge in the field of ultra-large, distributed and open data archives, as well as modern methods for improving color images, is presented.
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References
- Aristov M.V. Monitoring of landfills and detection of natural landfills according to satellite imagery. Geoprofile, 2019. No. 2. P. 34–41 (in Russian).
- Bondur V.G. Methods of modeling radiation fields at the entrance of aerospace remote sensing systems. Issledovanie Zemli iz kosmosa (Research of the Earth from space), 2000. No. 5. P. 16–27 (in Russian).
- Bondur V.G. Aerospace methods in modern oceanology. New ideas in oceanology. V. 1: Physics. Chemistry. Biology. Moscow: Nauka, 2004. P. 55–117+8 pages of color inserts (in Russian).
- Bondur V. Complex Satellite Monitoring of Coastal Water Areas. Proceedings of the 31st International Symposium on Remote Sensing of Environment. ISRSE, 2006. 7 p.
- Bondur V.G. Space monitoring of natural fires. Bulletin of the Russian Foundation for Basic Research, 2011. No. 2–3. P. 78–94 (in Russian).
- Bondur V.G. Modern approaches to processing large streams of hyperspectral and multispectral aerospace information. Issledovanie Zemli iz kosmosa (Research of the Earth from space), 2014. No. 1. P. 3–17 (in Russian).
- Bondur V.G., Argenenko N.I., Linnik V.N., Titova I.L. Modeling of multispectral aerospace images of dynamic brightness fields. Issledovanie Zemli iz kosmosa (Research of the Earth from space), 2003. No. 2. P. 3–17 (in Russian).
- Bondur V.G., Krapivin V.F., Savinykh V.P. Monitoring and forecasting of natural disasters. Moscow: Scientific World, 2009. 692 p. (in Russian).
- Bondur V.G., Savin A.I. The concept of creating environmental monitoring systems for ecological and natural resource purposes. Issledovanie Zemli iz kosmosa (Research of the Earth from space), 1992. No. 6. P. 70–78 (in Russian).
- Bondur V.G., Savin A.I. Principles of modeling signal fields at the input of DZ equipment of aerospace environmental monitoring systems. Issledovanie Zemli iz kosmosa (Research of the Earth from space), 1995. No. 4. P. 24–34 (in Russian).
- Kazaryan M.L., Richter A.A., Shahramanian M.A., Nedkov R.D. Monitoring and forecasting of socio-economic development of regions based on the analysis of satellite images (using the example of solid waste disposal facilities and their impact on the environment). Moscow: INFRA-M, 2019. 256 p. (in Russian).
- Kazaryan M., Shahramanian M., Semenishchev E. Unauthorized landfills of solid household and industrial wastes detection in the Arctic and Subarctic territories using remote sensing technologies. Proceedings of SPIE, V. 11856. Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII, 2021. 1185619. DOI: 10.1117/12.2600721.
- Kazaryan M., Shakhramanyan M., Semenishchev E. Space monitoring to control the dynamics of changes in the resource potential of the tourist business under conditions of increased risk of emergencies. Proceedings of SPIE, V. 12514. Image Sensing Technologies: Materials, Devices, Systems, and Applications X, 2023. 125140L. DOI: 10.1117/12.2666562.
- Kazaryan M., Shahramanian M., Semenishchev E., Voronin V. The underground surface analysis of waste disposal objects based on the neural network image processing methods. Proceedings of SPIE, V. 12094. Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII, 2022. 1209410. DOI: 10.1117/12.2620807.
- Kazaryan M., Voronin V. Research of percolation at objects for waste disposal according to space image data. Proceedings of SPIE, V. 11397. Dimensional Optical Metrology and Inspection for Practical Applications IX, 2020. 113970K. DOI: 10.1117/12.2558427.
- Keeler R., Bondur V., Gibson C. Optical satellite imagery detection of internal wave effects from a submerged turbulent outfall in the stratified ocean. Geophysical Research Letters, 2005. V. 32. Iss. 12. L12610. DOI: 10.1029/2005GL022390.
- Lavrova O.Yu., Loupian E.A., Mityagina M.I., Uvarov I.A., Bocharova T.Yu. See the Sea-Multi-User Information System Ocean Processes Investigations Based on Satellite Remote Sensing Data. Bollettino di Geofisica teorica ed applicata. An International Journal of Earth Sciences, 2015. V. 54. P. 146–147.
- Loupian E.A., Mazurov A.A., Flitman E.V., Ershov D.V., Korovin G.N., Novik V.P., Abushenko N.A., Altyntsev D.A., Koshelev V.V., Taschilin S.A., Tatarnikov A.V., Csiszar I., Loboda T., Sukhinin A.I., Ponomarev E.I., Fonin S.V., Belov V.V., Matvienko G.G. Satellite monitoring of forest fires in Russia at federal and regional level. Mitigation and Adaptation Strategies for Global Change, 2016. V. 11. No. 1. P. 113–145.
- Moore R.T., Hansen M.C. Google Earth Engine: a new cloud-computing platform for global-scale earth observation data and analysis. AGU Fall Meeting Abstracts, 2017. V. 1. 2 p.
- Putilina V.S. Analytical review: the influence of organic matter on the migration of heavy metals in solid waste storage sites. Ecology. A series of analytical reviews of world literature, 2015. No. 76. P. 1–100.
- Richter A.A. Comprehensive methodology for automated detection and evaluation of parameters of waste disposal facilities based on satellite imagery data. Dissertation … PhD of Technical Sciences. Moscow: Institute for Scientific Research of Aerospace Monitoring “AEROCOSMOS”, 2018 (in Russian).
For citation: Kazaryan M.L., Shahramanian M.A., Tikunov V.S., Lin H. The system of global space monitoring of the processes of littering of the planet Earth (a joint Russian-Chinese project). InterCarto. InterGIS. Moscow: MSU, Faculty of Geography, 2024. V. 30. Part 1. P. 442–461. DOI: 10.35595/2414-9179-2024-1-30-442-461