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Hyperspectral Vegetation Indices Calculated by Qgis Using Landsat Tm Image : a Case Study of Northern Iceland

Lemenkova, Polina - 2021

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

Using GMT for 2D and 3D Modeling of the Ryukyu Trench Topography, Pacific Ocean

Lemenkova, Polina - 2021

This research focuses on the 2D and 3D geospatial analysis of the Ryukyu Trench, a deep-sea trench located in the western Pacific Ocean between Japan and Taiwan. The aim of the research is to visualize regional differences in the topography of the southern (S) and northern (N) parts of the...

Persistent link: https://www.econbiz.de/10013248023

Dataset compilation by GRASS GIS for thematic mapping of Antarctica : Topographic surface, ice thickness, subglacial bed elevation and sediment thickness

Lemenkova, Polina - 2021

algorithms of image classification enabling to distinguish between glacier and non-glacier surfaces through automatically …

Persistent link: https://www.econbiz.de/10013215031

Georeferenced Gridded Data Handled by GMT : Cartographic Solutions for Geophysical Mapping

Lemenkova, Polina - 2021

The functionality of Generic Mapping Tools (GMT) to process and visualize geospatial information is crucial to the development of the advanced cartographic method. This paper presents modelling and spatial analysis of the marine geological data using GMT shell scripting. GMT demonstrated...

Persistent link: https://www.econbiz.de/10013314458

Geophysical Mapping of Ghana Using Advanced Cartographic Tool GMT

Lemenkova, Polina - 2022

Ghana is a country exceptionally rich in geologic mineral resources with contrasting topographic relief and varied geophysical setting. This paper evaluated the geological and geophysical setting of Ghana with a special focus on the impact of the geologic setting and topography on gravity....

Persistent link: https://www.econbiz.de/10013296889

Data-driven insights into correlation among geophysical setting, topography and seafloor sediments in the Ross Sea, Antarctic

Lemenkova, Polina - 2021

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

Geospatial Analysis by Python and R : Geomorphology of the Philippine Trench, Pacific Ocean

Lemenkova, Polina - 2020

The study area is focused on the Philippine Trench, a hadal trench located in the axe of the collision of the Philippine Sea Plate and Sunda Plate, west Pacific Ocean. The research is aimed at the analysis of the trench geomorphology by a correlation between changes in slope steepness and...

Persistent link: https://www.econbiz.de/10014102620

Evaluating Land Cover Types From Landsat TM Using SAGA GIS for Vegetation Mapping Based on ISODATA and K-Means Clustering

Lemenkova, Polina - 2022

The paper presents the cartographic processing of the Landsat TM image by the two unsupervised classification methods … clusters was set to ten classes. The processing of the satellite image by SAGA GIS was achieved using Imagery Classification … tools in the Geoprocessing menu of SAGA GIS. Unsupervised classification performed effectively in the unlabeled pixels for …

Persistent link: https://www.econbiz.de/10014086023

Okinawa Trough Geophysical and Topographic Modeling by GDAL Utilities and GRASS GIS

Lemenkova, Polina - 2021

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

GRASS GIS for classification of Landsat TM images by maximum likelihood discriminant analysis : Tokyo area, Japan

Lemenkova, Polina - 2021

image using 'i.cluster' algorithm and 'i.group' for clustering data. The classification was done by Maximum Likelihhood …

Persistent link: https://www.econbiz.de/10013237699