Landslide GIS modelling with QGIS software

Liashenko, D.; Belenok, V. Yu.; Spitsa, R.; Pavlyuk, D.; Boiko, Oleksandr

doi:10.3997/2214-4609.202056069

Cited by 5 publications

(2 citation statements)

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“…The DEM of the Kursk region obtained from the SRTM mission and downloaded from the resource (EarthExplorer, n.d.) is shown in Figure 10. Figure 9 and Figure 10 were created using geographic information technology as described in Liashenko et al (2020).…”

Section: Methodsmentioning

confidence: 99%

Comparative Analysis for Methods of Building Digital Elevation Models From Topographic Maps Using Geoinformation Technologies

Belenok

Velikodsky

Nikolaienko

et al. 2021

Geodesy and Cartography

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The article considers the question of estimating the accuracy of interpolation methods for building digital elevation models using Soviet topographic maps. The territory of the Kursk region of the Russian Federation was used as the study area, because it is located on the Central Russian Upland and characterized by the complex structure of the vertical and horizontal dissection of the relief. Contour lines automatically obtained using a Python algorithm were used as the initial elevation data to build a digital elevation model. Digital elevation models obtained by thirteen different interpolation methods in ArcGIS and Surfer software were built and analyzed. Special attention is paid to the ANUDEM method, which allows to obtain hydrologically correct digital elevation models. Recommendations for the use of one or another method of interpolation are given. The results can be useful for professionals who use topographic maps in their work and deals with the design using digital elevation models.

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Section: Methodsmentioning

confidence: 99%

Comparative Analysis for Methods of Building Digital Elevation Models From Topographic Maps Using Geoinformation Technologies

Belenok

Velikodsky

Nikolaienko

et al. 2021

Geodesy and Cartography

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“…For these highlighted districts, a statistical relationship will be established between the humus content (SOM) in the soil and the Landsat 8 OLI satellite data. The creation Figure 1 employed geoinformation technologies, following the methods delineated in the study (Belenok et al, 2021;Liashenko et al, 2020) in ArcGIS Pro software.…”

Section: Characteristics Of the Study Areamentioning

confidence: 99%

Application of remote sensing methods for statistical estimation of organic matter in soils

Belenok,

Hebryn-Baidy,

Bіelousova

et al. 2023

Earth sci. res. j.

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The availability of reliable information on the physicochemical properties of soils is a necessary tool for maintaining and improving fertility and effective optimization of agricultural land management in many countries. However, ground-based research methods require significant financial and time resources. It has been established that methods based on remote sensing data are an efficient, accurate, and less costly solution for studying different types of soil cover parameters. This work aims to determine the predicted indicator of humus content in soils in selected regions of the Kyiv region (Ukraine) with the corresponding soil types. For this, the spectral properties of chernozem soils were investigated based on Landsat 8 OLI satellite images. A mosaic of the mean spectral reflectance values for the study period (2013-2015) was created using the Google Earth Engine. The vegetation indices NDSI, NDWI, NDBI, MSAVI, and NDVI were used to identify bare soils. Using multiple linear regression, an optimal F-Comparing Nested Model was created for predicting humus content in soils, including seven parameters. The model's accuracy was estimated with such indicators R=0.95, R2= 0.90, σy = 0.16 %. The approach based on the proposed model can be used to support the adoption of the necessary management decisions to improve soil fertility and maintain balanced land use.

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Innovative Techniques for Analysis, Monitoring and Priorities Infrastructure Interventions Through the Application of GIS Systems

Comi,

Mazzaferro,

Fotia

2024

Lecture Notes in Networks and Systems

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Landslide GIS modelling with QGIS software

Cited by 5 publications

References 0 publications

Comparative Analysis for Methods of Building Digital Elevation Models From Topographic Maps Using Geoinformation Technologies

Comparative Analysis for Methods of Building Digital Elevation Models From Topographic Maps Using Geoinformation Technologies

Application of remote sensing methods for statistical estimation of organic matter in soils

Innovative Techniques for Analysis, Monitoring and Priorities Infrastructure Interventions Through the Application of GIS Systems

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