Geomatics in Energy & Water Re A Coloured Handbook
-
- Englisch ausgewählt
Fr. 150.00
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
01.08.2023
Herausgeber
SM. Ramasamy + weitereVerlag
New India Publishing Agency - NIPASeitenzahl
284
Maße (L/B/H)
22.9/15.2/1.9 cm
Gewicht
650 g
Sprache
Englisch
ISBN
978-81-19-21521-8
As a result of the exponential growth in population, there has been a massive exploitation of energy and water resources, leading to a shortage of these resources. To address this issue, geoscientists and technocrats from around the world have undertaken extensive research programs to locate new reservoirs of these resources and develop models for sustainable conservation and utilization.
The understanding of rock types, tectonic architecture, geomorphology, and reservoir conditions is crucial in the inventory and management of these resources. Geomatics technology, which includes Remote Sensing and Geographic Information System (GIS), has proven to be vital tools in this process. Remote Sensing is useful due to its ability to provide synoptic, multispectral, and repetitive data, while GIS is valuable due to its ability to store, manipulate, and model large volumes of spatial and non-spatial data.
Different geological provinces and processes have been studied using various concepts and methods on geology, such as 3D visualization of subsurface lineaments, SRTM-based lineament mapping, spatio-linear modeling of hard rock aquifer systems, and 3D visualization of oil-bearing structures. Both field geologists and researchers have found these techniques to be useful.
The understanding of rock types, tectonic architecture, geomorphology, and reservoir conditions is crucial in the inventory and management of these resources. Geomatics technology, which includes Remote Sensing and Geographic Information System (GIS), has proven to be vital tools in this process. Remote Sensing is useful due to its ability to provide synoptic, multispectral, and repetitive data, while GIS is valuable due to its ability to store, manipulate, and model large volumes of spatial and non-spatial data.
Different geological provinces and processes have been studied using various concepts and methods on geology, such as 3D visualization of subsurface lineaments, SRTM-based lineament mapping, spatio-linear modeling of hard rock aquifer systems, and 3D visualization of oil-bearing structures. Both field geologists and researchers have found these techniques to be useful.
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