Showing 1 - 10 of 50
The research aim is application of GIS and spatial analysis of satellite images for agricultural mapping. The study area is located in Mecsek Hills, Hungary. These landscapes represent unique part of Hungarian environment in the Carpathian Basin. Diverse landscape structure with complex...
Persistent link: https://www.econbiz.de/10012892744
This paper presents using GDAL utilities and GRASS GIS for topographic analysis of the raster grids based on GEBCO DEM as NetCDF file at 15 arc-second intervals. The focus study area encompasses the area around Okinawa Trough, Ryukyu trench-arc system, southern Japan, East China Sea and the...
Persistent link: https://www.econbiz.de/10013216236
Uganda is traversed by the East African Rift System (EARS), which controls its topography and induces high seismicity in the southwestern and western parts of the country, around the Rwenzori Mountains and Albertine Graben. This paper explores the complexity of the geophysical, topographic and...
Persistent link: https://www.econbiz.de/10013220545
This study evaluates the geomorphometric parameters of the topography in Ethiopia using scripting cartographic methods by applying R languages (packages 'tmap' and 'raster') and Generic Mapping Tools (GMT) for 2D and 3D topographic modelling. Data were collected from the open source repositories...
Persistent link: https://www.econbiz.de/10013224441
The study presents a comparative analysis of eight Vegetation Indices (VIs) used to examine vegetation greenness over the northern coasts of Iceland. The geographical extent of the study area is set by the coordinates of the two fjords, Eyjafjörður and Skagafjörður, notable for their...
Persistent link: https://www.econbiz.de/10013226249
The presented paper is focused on satellite image analysis using GRASS GIS. The aim is to perform comparative analysis of the land cover changes in Tokyo metropolitan area through spatial analysis. Data include multi-temporal Landsat TM satellite images on 2002, 2006 and 2011. The images were...
Persistent link: https://www.econbiz.de/10013237699
The main purpose of this article is to present the use of R programming language in cartographic visualization demonstrating using machine learning methods in geographic education. Current trends in education technologies are largely influenced by the possibilities of distance-learning,...
Persistent link: https://www.econbiz.de/10013240790
Detailed mapping based on the high-resolution grids, such as GEBCO, ETOPO1, GlobSed, EGM- 2008 is crucial for various domains of Earth sciences: geophysics, glaciology, Quaternary, sedimentology, geology, environmental science, geomorphology, etc. The study presented a GMT- based scripting...
Persistent link: https://www.econbiz.de/10013247459
The vegetation indices (VIs) derived from the hyperspectral reflectance of vegetation are presented in this study for monitoring live green vegetation in the northern ecosystems of Iceland, along the fjords of Eyjafjörður and the Skagafjörður. The comparative analysis of the following VIs...
Persistent link: https://www.econbiz.de/10013248017
The paper aims to evaluate the presence and condition of vegetation by SAGA GIS. The study area covers northern coasts of Iceland including two fjords, the Eyjafjörður and the Skagafjörður, prosperous agricultural regions. The vegetation coverage in Iceland experience the impact of harsh...
Persistent link: https://www.econbiz.de/10013251916