Browsing by Subject "geological mapping"

Now showing 1 - 7 of 7

Access status: Restricted ,
Charakterystyka osuwiska nr 64355 w gminie Mogilany
(Data obrony: 2018-02-01) Marcinkowska, Magdalena
Wydział Geologii, Geofizyki i Ochrony Środowiska
Celem pracy było rozpoznanie i udokumentowanie osuwiska nr 64355 znajdującego się w województwie małopolskim, powiecie krakowskim w gminie Mogilany. Analiza osuwiska została przedstawiona w oparciu o badania terenowe oraz wyniki monitoringu wgłębnego. Osuwisko 64355 zostało stwierdzone w ramach prac kartograficznych dla projektu SOPO. Prace terenowe dla potrzeb niniejszego projektu nie potwierdziły całkowicie granic tytułowego osuwiska. W jego obszarze stwierdzono dwa osuwiska, które się ze sobą łączą w środkowej i dolnej części. Wyniki monitoringu inklinometrycznego w obrębie osuwiska nr 1 wskazują na powierzchnię poślizgu na głębokości 13,5 m i 30 m. Aktywność osuwisk najwyraźniej przejawia się w górnych ich częściach. W obrębie skarpy głównej osuwiska nr 2 zlokalizowany jest budynek, który został uszkodzony w wyniku osuwania się gruntu.
Access status: Open Access ,
Explication de la carte des ressources minérales de la République Polonaise
(Wydawnictwo Państwowego Instytutu Geologicznego, 1931) Czarnocki, Stefan
Access status: Restricted ,
Geological mapping of North Wazirstan, Pakistan using remotely sensed images
(Data obrony: 2017-10-06) Nawaz, Adil
Wydział Geologii, Geofizyki i Ochrony Środowiska
Digitally enhanced OLI Landsat 8 images were applied for mapping of North Waziristan Pakistan. The territory is rough and without rich vegetation; the exposure of the Waziristan ophiolite, related sedimentary lithologies and inaccessibility to the area made the utilization of Landsat information helpful in this investigation. In the remote sensing investigation, Landsat 8 OLI data were used to make band ratios, band combinations, principal component and image classification methods. Multispectral images were prepared and investigated for this study. On the basis of the image classification techniques; unsupervised classification, five principle lithological units are marked which are giving satisfactory results (about 63.07 %.) when compared with referenced geological map using confusion matrix analysis. The outcomes are very satisfied and need to examine about the utility and confinements of remote sensing strategy on the investigation zone. Further to confirm the results of unsupervised classification, extra investigations might be helpful. As a results, issues confronted during the classification must be considered into all general accuracy.
Access status: Restricted ,
Geological mapping of the area of Lawra Gold Belt (Ghana) based on remotely sensed images
(Data obrony: 2017-06-29) Kadey, Godsway
Wydział Geologii, Geofizyki i Ochrony Środowiska
Remote sensing techniques and spatial data analysis through Geographic Information Systems (GIS) have been jointly applied in lithological discrimination in the Lawra gold belt. Spectral signatures of the study area recorded by the Landsat 8 were studied to aid geological unit identification. As expected the savannah vegetation coupled with tropical geomorphic events (weathering, erosion and deposition), spectral inseparability and positional errors have the tendency to affect significantly the accuracy of the classification. Final detection of lithologies was based on correlation between classes generated in the thematic map and the reference geological map with a moderate overall accuracy of 20.192%. Results show that for unsupervised classification using Iterative Self-Organizing Data Analysis Technique (ISODATA) small number of classes produces more accurate results. The results once more show the limitations of spectral based approaches to geological mapping in vegetated terrains. The development of this data will provide a baseline on which to base future studies of the area. Integrated approach (geology, textural and spectral features) could be used to improve overall accuracy.
Access status: Open Access ,
Landslide and rockfall analysis of the western part of the Pavlov Hills in southern Moravia
(Wydawnictwa AGH, 2015) Opálka, Filip
My presentation is focused on the analysis and mapping of landslides and rock falls from the western part of the Pavlov Hills in southern Moravia.
Access status: Restricted ,
Lithological and structural mapping of the Sorbas area (Baetic Mts., prov. Almería, Spain) based on remotely sensed images
(Data obrony: 2017-07-07) Tarka, Weronika
Wydział Geologii, Geofizyki i Ochrony Środowiska
Digitally enhanced Landsat 8 images were applied for geological mapping of Sorbas Area in Almeria Province, SE Spain. The terrain without abundant vegetation, with semiarid landscape is promising for remote sensing research. For this study multispectral images were processed and analysed. On the basis of the classification, main lithological units were distinguished, with overall agreement with the reference data of 15,127%. The results are subject to discussion about the utility and limitations of remote sensing method on the study area. Further complimentary studies may be useful. Finally, problems encountered during classification must be factored into the overall accuracy.
Access status: Open Access ,
Processing and analysis of aster and landsat 8 scenes to aid in geological mapping: a case study of Murchison Greenstone Belt area, South Africa
(Wydawnictwa AGH, 2020) Thomas, Abraham
This paper presents processing and analysis results of ASTER and Landsat 8 scenes to aid in geological mapping of Murchison Greenstone Belt region of Limpopo Province, South Africa. Images of ASTER acquired in 2005 and 2006 and Landsat 8 acquired in 2019 were downloaded and subset covering 5 mapping sheets was extracted. Images of different band ratios and band combinations were experimented using ENVI and SNAP software to identify suitable band/band ratio combinations to produce FCCs that enabled discrimination of lithology, structural features, lineaments, alteration and iron oxides, land/water, surface features, vegetation cover and healthy vegetation etc. Using DEM data, slope and shaded relief were also prepared that enabled the identification of the extent of protruded outcrops, some structural features and lineaments using different FCC displays. These datasets prepared in ENVI file format were later exported to GeoTiff/Imagine file for display in ArcMap by the mapping geologists. FCCs made in various band combinations, ratio combination and also with slope are useful in discriminating geology, structural features and protruded outcrops including dykes that are not so visible in a true colour image of the same resolution. This study could illustrate the usefulness of remote sensing analysis to aid in geological mapping using freely available ASTER and Landsat 8 data.