Unauthorized landfills of solid household and industrial wastes detection in the Arctic and subarctic territories using remote sensing technologies

M. Kazaryan; M. Shahramanian; E. Semenishchev

doi:10.1117/12.2600721

12 September 2021 Unauthorized landfills of solid household and industrial wastes detection in the Arctic and subarctic territories using remote sensing technologies

M. Kazaryan, M. Shahramanian, E. Semenishchev

Author Affiliations +

Proceedings Volume 11856, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII; 1185619 (2021) https://doi.org/10.1117/12.2600721
Event: SPIE Remote Sensing, 2021, Online Only

Conference Poster

Abstract

Pollution of the Arctic territories with garbage dumps provides the general warming in the northern latitudes and cooling in the southern latitudes of the Earth. This article examines the state of the cryosphere of the studied territories and the impact on the constituent elements of solid domestic and industrial waste. The necessary information of medium, high spatial resolution for further study can be obtained using technologies for remote sensing of the Earth from spacecraft with hyperspectral measurements. We propose a method for detecting leachate elements in unauthorized dumpsites in the Arctic using space vehicles. This task is relevant for the implementation of geo-ecological monitoring of the Arctic territories covered with snow. An algorithm for finding the creation of leachate under the influence of solid household and industrial waste has been developed. The article examines the consequences of climate change on forming the biomedical component of the process under consideration. We present a comparison of the proposed processing algorithm on the space images of the Arctic and subarctic territories of the Russian Federation.

Citation Download Citation

M. Kazaryan, M. Shahramanian, and E. Semenishchev "Unauthorized landfills of solid household and industrial wastes detection in the Arctic and subarctic territories using remote sensing technologies", Proc. SPIE 11856, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII, 1185619 (12 September 2021); https://doi.org/10.1117/12.2600721

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