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nr nr 3
33-42
EN
Latin American cities are amongst those with the highest rates of urbanization in the world. This process has involved their territorial expansion as well as the densification of some of its neighborhoods, in mainly central areas. This is the case of the city of Santiago del Estero (Argentina) that increased its population by 33% between 1991 and 2010 with the consequent transformations of the local space. In this context, this study analyzes the evolution of vegetated areas and densification of the central area of the city using satellite data. We analyzed two indices: normalized difference vegetation index (NDVI) and Urban Index (UI) time-series data, for the 1992-2011 year period, using the Google Earth Engine for processing Landsat 5 TM images. We found that the NDVI showed a decreasing trend in the timelapse under consideration, while the UI performance registered the opposite trend. The mean NDVI decreased from 0.161 (1992) to 0.103 (2011) while the UI mean increased from 0.003 to 0.036 in the same timelapse. Further, the NDVI has a strong negative correlation with UI (R-squared = -0.862). The results are consistent with the census information that recorded an important demographic and housing growth for the entire city in this period(original abstract)
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nr z. 132
133-144
EN
This paper analyzes land cover changes at a small scale with respect to the environmental and socio - economic characteristics in five model municipalities. The data used included 1:50,000 Soviet topographic maps (1976 - 1989), recent fine scale satellite images from the Google Earth, natural geoecosystems data and 1:10,000 cadastral maps which provide land use structure data. The model areas selected for our study are rural and situated in different parts of Ukrainian Carpathians. A common tendency for four of five model areas is an increase in the area with forest or shrubland owing to the abandonment of former agricultural lands. The results of statistical analysis showed that land use type, landform, location within an ecotone and slope inclination have the most significant influence on the occurrence of secondary succession. At the same time, transport infrastructure parameters have no essential influence on recent land cover changes. (original abstract)
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nr nr 20
163-176
XX
W artykule poruszono problematykę dotyczącą popularnego oprogramowania nazywanego wirtualnymi globusami. Głównym celem artykułu jest zdefiniowanie i przegląd podstawowych zagadnień teoretycznych związanych z tymi programami. Jest to temat pierwszej części artykułu. W kolejnej zaprezentowano popularny program Google Earth od strony jego możliwości jako wirtualnego globusa, opisano dostępne użytkownikom moduły i na jego przykładzie omówiono postęp w tej dziedzinie oprogramowania. Tutaj starano się zrealizować cel popularyzatorski. Przy gromadzeniu materiałów korzystano z internetowych baz danych publikacji, tłumaczenia dokonywane były samodzielnie. (abstrakt oryginalny)
EN
This article introduces the reader to issues of popular software called virtual globes. The main purpose of this paper is to define and review the basic theoretical issues related to these programs. In the first part of the article described theoretical combinations of virtual globes based on three dimensions: image (analog, digital), space (real, virtual), globe body (virtual, physical). In the second part presented popular program Google Earth's capabilities as a virtual globe, described modules available for users and the example progress in the field of virtual globes software. In this part efforts were made to achieve the objective of popularizing. (original abstract)
4
Content available remote Positional accuracy evaluation of Google Earth in Addis Ababa, Ethiopia
99%
EN
From the time when it was first launched in 2005, satellite data generated from Google Earth are freely available online. Hence, without being conducting concrete studies about the accuracy of satellite data from Google Earth, Google Earth are chiefly used for different field of studies in different sectors for different purposes in Ethiopia. In this regard, it was planned to conduct this study by establishing the main objective to evaluate the positional accuracy of Google Earth. Hence, in order to address the aforementioned objective, a brief methodology for collecting and analyzing data was performed. The positional accuracy of Google Earth for both horizontal and vertical cases was evaluated. The acquired horizontal RMSE of Google Earth was found fit to produce a class-1 map of having 1:20,000 scale as recommended by ASPRS-1990. Unlike for horizontal case, the computed RMSE for vertical positional accuracy of Google Earth was not found fit for preparing class-1 map. However, making correlations between field survey and GE can provide 95% fitness, and also, subtracting the acquired RMSE for the vertical case from the original Google Earth elevation data can provide a 90% fitness for preparing class-1 map as well.
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