Browsing by Subject "land cover"

Now showing 1 - 4 of 4

Access status: Open Access ,
A comparison of land use classifications in urbanized areas in selected european countries
(Wydawnictwa AGH, 2021) Matuk, Olga
The real estate cadastre is the primary source of information on land use. It records information related to the division of land into types based on the actual way of land use or development. The distinguished types of land use depend on many geographical factors, as well as historical and economic conditions. The study presents a comparison of the detail of land use classification registered in the real estate cadastre in areas functionally related to the urban areas of 9 European countries: Austria, Bulgaria, the Czech Republic, Estonia, Spain, Lithuania, Luxembourg, Germany and Poland. The research concerned the determination of the degree to which the classification of land use in urbanized areas is detailed, whether the studied European countries are characterized by the same number of distinguished classes of ob jects at different levels of detail, and what percentage are the distinguished classes of land use objects in urbanized areas in relation to all of the distinguished classes of objects land use at different levels of detail of classification. The study used legal acts regulating land use issues which have been made available in national languages by government institutions.
Access status: Restricted ,
Identyfikacja zmian zagospodarowania terenu na obszarach górniczych na podstawie analizy obrazów Landsat
(Data obrony: 2013-10-09) Filipiak, Małgorzata
Wydział Geologii, Geofizyki i Ochrony Środowiska
The objective of the thesis is to identify the changes in the land cover of mining sites based on the analysis of multispectral images acquired from Landsat 7 satellite. Data was used to assess the environment condition as well as any anthropological changes that occurred in the area of north-eastern part of Upper Silesian Coal Basin. The entry data used in this work include images from 1999 until 2011. The tools used for the analysis include creating colour composite images (RGB), supervised classification method and remote sensing indicators, which are NDVI and Tasseled Cap. The obtained results of the indicato analysis as well as supervised classification method are not satisfactory. This may lead to a conclusion that conducting the analysis of such a vast area is connected with high error rates. The major obstacle in the way of obtaining reliable results was the error caused by the malfunction of Landsat 7 satellite scanner. Images contain horizontal lines with no data (which lack information). Another reason for unsatisfactory outcome were meteorological conditions included in the images. The performer study showed that the geostatistical methods normalny used to interpolate reflectance values do not solve problems arising from failure of SLC system.
Access status: Open Access ,
Quantitative analysis of land use classification in agricultural and forest areas
(Wydawnictwa AGH, 2022) Matuk, Olga
The article deals with the research on the quantitative classification of land use, which directly affects the amount of land use data collected in the real estate cadastre. For the purpose of this article, the cadastral systems of seven European countries - Austria, Bulgaria, Estonia, Spain, Lithuania, Germany and Poland - have been examined, taking into account how detailed is the classification in agricultural and forest areas. The research covered the provisions of legal acts applicable in the researched seven European countries and made available in national languages by the government bodies. The article asks the following three questions: 1) whether the researched countries adopted the same approach to isolating classes of items related to agricultural and forest areas, 2) whether the researched countries feature the same number of classes of items recorded at various levels of detail, 3) what is the percentage of the distinguished item classes of land uses in the agricultural and forest areas in relation to all of the distinguished item classes at all the levels of detail. The conducted research can be used as a material supporting works consisting of the modernization of the functioning of land registration in the real estate cadastre in Poland.
Access status: Open Access ,
Unmanned Aerial Vehicles for three‑dimensional mapping and change detection analysis
(Wydawnictwa AGH, 2021) Gbopa, Adetola Olufunmilayo; Ayodele, Emmanuel Gbenga; Okolie, Chukwuma John; Ajayi, Akinwumi Olaitan; Iheaturu, Chima Jude
Unmanned Aerial Vehicles (UAVs), commonly known as drones are increasingly being used for three‑dimensional (3D) mapping of the environment. This study utilised UAV technology to produce a revised 3D map of the University of Lagos as well as land cover change detection analysis. A DJI Phantom 4 UAV was used to collect digital images at a flying height of 90 m, and 75% fore and 65% side overlaps. Ground control points (GCPs) for orthophoto rectification were coordinated with a Trimble R8 Global Navigation Satellite System. Pix4D Mapper was used to produce a digital terrain model and an orthophoto at a ground sampling distance of 4.36 cm. The change detection analysis, using the 2015 base map as reference, revealed a significant change in the land cover such as an increase of 16,306.7 m2 in buildings between 2015 and 2019. The root mean square error analysis performed using 7 GCPs showed a horizontal and vertical accuracy of 0.183 m and 0.157 m respectively. This suggests a high level of accuracy, which is adequate for 3D mapping and change detection analysis at a sustainable cost.