Showing 1 - 10 of 67,912
The study aims at utilizes the machine learning methods in cartography with a case study of climate and environmental mapping of Brazil. Rapid advances in machine learning applied to Earth observations have resulted in the application of scripting and programming languages for cartographic...
Persistent link: https://www.econbiz.de/10013295106
, combining two physical-geographical regions: sub- Arctic and Arctic moss-lichen tundra and permafrost conditions. The recent …
Persistent link: https://www.econbiz.de/10014033108
Abstract [EN]The article reports the issues corresponding to the climate variability and possibility of droughts in spatially distinct regions of Paraguay, the Chaco and the Oriental (Paraná Basin). Based on the GMT scripting approach and high-resolution datasets from the TerraClimate and...
Persistent link: https://www.econbiz.de/10013313442
This paper explores spatial variability of the ten climatic variables of Mongolia in 2019: average minimal and maximal temperatures, wind speed, soil moisture, downward surface shortwave radiation (DSRAD), snow water equivalent (SWE), vapor pressure deficit (VPD), vapor pressure anomaly (VAP),...
Persistent link: https://www.econbiz.de/10014085176
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
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
This paper presents a case of the script-based cartographic data processing by the Generic Mapping Tools (GMT) and R language for geophysical mapping. The study area is located in Rwanda, Africa, which is notable for complex geological setting due to its specific location within the East African...
Persistent link: https://www.econbiz.de/10014242124
multispectral satellite image were analyzed in SAGA GIS to separate wetland biomes, as well as savannah and tropical rainforests …
Persistent link: https://www.econbiz.de/10013245910
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
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