The Aspects of Using Gis in Monitoring of Environmental Components

Trofymchuk, Oleksandr; Klymenko, Viktoriia; Anpilova, Yevheniia; Sheviakina, Natalia; Zagorodnia, Snizhana

doi:10.5593/sgem2020/2.1/s08.075

Cited by 7 publications

(2 citation statements)

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“…Proximal remote sensing plays a crucial role in environmental monitoring and management, offering valuable insights into ecosystems, landuse changes, habitat conservation, and environmental hazards [59,60]. By capturing high-resolution data from a close range, this technology provides detailed information that is essential for informed decision-making and effective environmental stewardship [61].…”

Section: Environmental Monitoring and Managementmentioning

confidence: 99%

Enhancing Precision Agriculture and Environmental Monitoring Using Proximal Remote Sensing

Verma

Porwal

Jha

et al. 2023

JEAI

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Proximal remote sensing is a cutting-edge technology that has emerged as a powerful tool in precision agriculture and environmental monitoring. By capturing high-resolution data from a close range, it provides valuable insights into crop health, soil conditions, and ecosystem dynamics. This paper explores the applications, advantages, and limitations of proximal remote sensing, focusing on its use in precision agriculture and environmental management. The applications of proximal remote sensing in precision agriculture include crop monitoring, disease detection, and resource optimization. In environmental management, it aids in habitat mapping, biodiversity assessment, and environmental impact analysis. The advantages of proximal remote sensing lie in its high spatial resolution, real-time data acquisition, and flexibility in sensor selection. However, limitations such as limited coverage area and skill requirements need to be considered. The future perspectives of proximal remote sensing encompass advancements in sensor technology, automation, integration with other technologies, and enhanced data storage and analysis. By leveraging these advancements, proximal remote sensing can contribute to more sustainable practices and informed decision-making for a better and resilient future.

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Section: Environmental Monitoring and Managementmentioning

confidence: 99%

Enhancing Precision Agriculture and Environmental Monitoring Using Proximal Remote Sensing

Verma

Porwal

Jha

et al. 2023

JEAI

View full text Add to dashboard Cite

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“…The intense development of GIS technologies has provided an increasing number of tools to enhance research effectiveness. The final results of GIS application are numerical databases and thematic maps that present the spatial variability and time trends of the analysed phenomena [28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Geostatistical Tools to Assess Existing Monitoring Network of Forest Soils in a Mountainous National Park

Jezierski

Kabała

2021

Forests

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Environmental changes in national parks are generally subject to constant observation. A particular case is parks located in mountains, which are more vulnerable to climate change and the binding of pollutants in mountain ranges as orographic barriers. The effectiveness of forest soil monitoring networks based on a systematic grid with a predetermined density has not been analysed so far. This study’s analysis was conducted in the Stolowe Mountains National Park (SMNP), SW Poland, using total Pb concentration data obtained from an initial network of 403 circle plots with centroids arranged in a regular 400 × 400 m square grid. The number and distribution of monitoring plots were analysed using geostatistical tools in terms of the accuracy and correctness of soil parameters obtained from spatial distribution imaging. The analysis also aimed at reducing the number of monitoring plots taking into account the economic and logistic aspects of the monitoring investigations in order to improve sampling efficiency in subsequent studies in the SMNP. The concept of the evaluation and modification of the monitoring network presented in this paper is an original solution and included first the reduction and then the extension of plot numbers. Two variants of reduced monitoring networks, constructed using the proposed procedure, allowed us to develop the correct geostatistical models, which were characterised by a slightly worse mean standardised error (MSE) and root mean squared error (RMSE) compared to errors from the original, regular monitoring network. Based on the new geostatistical models, the prediction of Pb concentration in soils in the reduced grids changed the spatial proportions of areas in different pollution classes to a limited extent compared to the original network.

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Effect of Landslide Deformation on the Stability of St. Andrew’s Church (Kyiv, Ukraine): Applications of Remote Sensing and Mathematical Modeling

Trofymchuk¹,

Kaliukh²,

Lebid³

et al. 2023

Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022

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This article presents the work conducted by the authors to analyze the stability of the St. Andrew’s Church which contains architecture, painting and decorative arts of the XVIII century. The church is located on a landslide-hazardous hill in the historic part of Kyiv, the capital of Ukraine. The architectural monument was built in 1747–1762 upon the project of Francois Bartolomeo Rastrelli in the Baroque style. It is one of the most important architectural monuments in Ukraine, which has cultural and historical value. Fluctuations in the height of the soil of the upper and lower part of the hill, on which St. Andrew’s Church is located, vary from 181.7 to 118.5 m. There are physical and geological hazards around the historic building, such as landslides, loose soil, soil inhomogeneities, and external erosion of the hill. To preserve this national heritage monument, a set of measures needed (monitoring the monument, identifying dangerous areas, carrying out fortification works, etc.). Monitoring of architectural monument in large areas could be carried out using optoelectronic and radar-location data and remote sensing of the Earth from space. Radar-location observations make it possible to determine reliable information about objects that are exposed to landslides and endure displacements (Casagli et al. in Landslides 7:291–301, 2010). Optoelectronic observations are effective for identifying areas and objects, identifying threats, operational assessment of the state of environmental objects, identifying areas that are affected, etc. After obtaining information on specific landslide-hazardous objects, with the help of geographic information systems (GIS) tools, areas of interest are identified for space survey of ultra-high spatial diversity to further assess the state of the architectural monument and the surrounding area. Subsequently, ground research and mathematical calculations of the object under study are carried out and measures are taken to eliminate landslide hazards and preserve the national heritage. With the results of this research, geotechnical works were already carried out to strengthen, restore and reinforce the damaged building structures.

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The Aspects of Using Gis in Monitoring of Environmental Components

Cited by 7 publications

References 0 publications

Enhancing Precision Agriculture and Environmental Monitoring Using Proximal Remote Sensing

Enhancing Precision Agriculture and Environmental Monitoring Using Proximal Remote Sensing

Geostatistical Tools to Assess Existing Monitoring Network of Forest Soils in a Mountainous National Park

Effect of Landslide Deformation on the Stability of St. Andrew’s Church (Kyiv, Ukraine): Applications of Remote Sensing and Mathematical Modeling

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