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Assesing the potential of digital terrain models for monitoring additional subsidence of communication embankments in mining areas - a case study

Kapusta Łukasz, Sobura Szymon

Structure and Environment

2024

Vol. 16, no. 2

84--96

Today’s technologies make it possible to capture certain phenomena that were very difficult or impossible to observe in terms of classical measurements. One of them is the so-called sinking of embankments. It is common in mining areas. It consists in the additional subsidence of the embankments into the ground, above the value of the lowering of the adjacent area. It takes place primarily in the zone of horizontal tensile deformations. The paper presents the results of comparative DTM (Digital Terrain Model) analyzes from 2001, 2014, 2018 and 2021. Their aim was to assess the usefulness of DTM data for monitoring the additional sinking of the communication embankment on the example of the northern bypass of Bytom. The authors analyzed digital terrain models generated in the process of rasterization of data from ALS (Airborn Laser Scanning).

Dzisiejsze technologie pozwalają wychwycić pewne zjawiska, które w ujęciu pomiarów klasycznych były bardzo trudne lub też niemożliwe do zaobserwowania. Jednym z nich jest zjawisko tzw. tonięcia nasypów. Występuje ono powszechnie na terenach górniczych. Polega na dodatkowym zagłębianiu się budowli w podłoże, ponad wartość obniżenia terenu przyległego. Ma ono miejsce przede wszystkim w strefie poziomych odkształceń rozciągających. W pracy przedstawiono wyniki analiz porównawczych NMT z lat 2001, 2014, 2018 i 2021. Ich celem była ocena przydatności danych z NMT do monitorowania dodatkowego zagłębiania nasypu komunikacyjnego na przykładzie północnej obwodnicy Bytomia. Autorzy poddali analizom numeryczne modele terenu wygenerowane w procesie rasteryzacji danych pochodzących głównie z lotniczego skanowania laserowego ALS.

The Application of Remote Sensing Techniques and Spectral Analyzes to Assess the Content of Heavy Metals in Soil – A Case Study of Barania Góra Reserve, Poland

Sobura Szymon, Widłak Małgorzata, Hejmanowska Beata, Muszyńska Joanna

Geomatics and Environmental Engineering

2022

Vol. 16, no. 4

187--213

The understanding of the spatial and temporal dynamics of farmland processes is essential to ensure the proper crop monitoring and early decision making needed to support efficient resource management in agriculture. By creating appropriate crop management strategies, one can increase harvest efficiency while reducing costs, waste, chemical spraying, and inhibiting the impact of biotic and abiotic factors on crop stress. Only reliable spatial information makes it possible to comprehend the influence of various factors on the environment. The main objective of the research presented in the paper was to assess the possibility of using maps of vegetation and soil indices, such as NDVI, SAVI, IRECI, CIred-edge, PSRI and HMSSI, calculated on the basis of images from the Sentinel-2 satellite, to qualitatively determine the increased amount of heavy metals in the soil in the areas of small agricultural plots around the Barania Góra nature reserve in Poland. The conducted pilot project shows that the spectral indices: NDVI, SAVI, IRECI, CIred-edge, PSRI, and HMSSI, calculated on the basis of images from Sentinel-2, have the potential to assess the content of nickel zinc, chromium and cobalt in the soil on agricultural plots. However, the confirmation of the obtained results requires continuation of the research.