Satellite images give a synoptic view of target areas, measure target surface changes and provide the information needed for hydrological studies, river or Lake Basin management, water disaster prevention, and water management. Lake Tana is located at an altitude of 1830 m and latitude longitude of 11.27°N and 37.10°E. The lake is the source of the Blue Nile River and it is the largest lake in Ethiopia with a surface area of 3,150 km2, a maximum length and width of 78 and 68 km respectively. In the past, several studies have been published on Lake Tana and its basin in a scattered manner. This necessitates state of the art review that highlights achievements, models, algorithms, and identify gaps in knowledge. Different types of hydrological models have been applied. The majority of the recent studies utilized simple conceptual and statistical approaches for trend analysis and water balance estimations, mainly using rainfall, temperature and evapo-transpiration data. To a greater extent, recent studies have used advanced semi-physically or physically based distributed hydrological models driven by high resolution temporal and spatial data for diverse applications. A review of the methods used and the role of satellite remote sensing in this regard to understand the hydrology of Lake Tana and its basin are presented.
| DOI | 10.11648/j.sr.20200803.12 |
| Published in | Science Research (Volume 8, Issue 3, June 2020) |
| Page(s) | 73-83 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Satellite Imagery, Surface Water/Lake Modeling, Lake Tana
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APA Style
Nuredin Teshome, Gizaw Mengistu Tsidu, Bisrat Kifle. (2020). The Application of Satellite Imagery in Surface Water/Lake Modelling: A Review of Previous Studies on Lake Tana and Its Basin. Science Research, 8(3), 73-83. https://doi.org/10.11648/j.sr.20200803.12
ACS Style
Nuredin Teshome; Gizaw Mengistu Tsidu; Bisrat Kifle. The Application of Satellite Imagery in Surface Water/Lake Modelling: A Review of Previous Studies on Lake Tana and Its Basin. Sci. Res. 2020, 8(3), 73-83. doi: 10.11648/j.sr.20200803.12
AMA Style
Nuredin Teshome, Gizaw Mengistu Tsidu, Bisrat Kifle. The Application of Satellite Imagery in Surface Water/Lake Modelling: A Review of Previous Studies on Lake Tana and Its Basin. Sci Res. 2020;8(3):73-83. doi: 10.11648/j.sr.20200803.12
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Download@article{10.11648/j.sr.20200803.12,
author = {Nuredin Teshome and Gizaw Mengistu Tsidu and Bisrat Kifle},
title = {The Application of Satellite Imagery in Surface Water/Lake Modelling: A Review of Previous Studies on Lake Tana and Its Basin},
journal = {Science Research},
volume = {8},
number = {3},
pages = {73-83},
doi = {10.11648/j.sr.20200803.12},
url = {https://doi.org/10.11648/j.sr.20200803.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sr.20200803.12},
abstract = {Satellite images give a synoptic view of target areas, measure target surface changes and provide the information needed for hydrological studies, river or Lake Basin management, water disaster prevention, and water management. Lake Tana is located at an altitude of 1830 m and latitude longitude of 11.27°N and 37.10°E. The lake is the source of the Blue Nile River and it is the largest lake in Ethiopia with a surface area of 3,150 km2, a maximum length and width of 78 and 68 km respectively. In the past, several studies have been published on Lake Tana and its basin in a scattered manner. This necessitates state of the art review that highlights achievements, models, algorithms, and identify gaps in knowledge. Different types of hydrological models have been applied. The majority of the recent studies utilized simple conceptual and statistical approaches for trend analysis and water balance estimations, mainly using rainfall, temperature and evapo-transpiration data. To a greater extent, recent studies have used advanced semi-physically or physically based distributed hydrological models driven by high resolution temporal and spatial data for diverse applications. A review of the methods used and the role of satellite remote sensing in this regard to understand the hydrology of Lake Tana and its basin are presented.},
year = {2020}
}
TY - JOUR T1 - The Application of Satellite Imagery in Surface Water/Lake Modelling: A Review of Previous Studies on Lake Tana and Its Basin AU - Nuredin Teshome AU - Gizaw Mengistu Tsidu AU - Bisrat Kifle Y1 - 2020/06/17 PY - 2020 N1 - https://doi.org/10.11648/j.sr.20200803.12 DO - 10.11648/j.sr.20200803.12 T2 - Science Research JF - Science Research JO - Science Research SP - 73 EP - 83 PB - Science Publishing Group SN - 2329-0927 UR - https://doi.org/10.11648/j.sr.20200803.12 AB - Satellite images give a synoptic view of target areas, measure target surface changes and provide the information needed for hydrological studies, river or Lake Basin management, water disaster prevention, and water management. Lake Tana is located at an altitude of 1830 m and latitude longitude of 11.27°N and 37.10°E. The lake is the source of the Blue Nile River and it is the largest lake in Ethiopia with a surface area of 3,150 km2, a maximum length and width of 78 and 68 km respectively. In the past, several studies have been published on Lake Tana and its basin in a scattered manner. This necessitates state of the art review that highlights achievements, models, algorithms, and identify gaps in knowledge. Different types of hydrological models have been applied. The majority of the recent studies utilized simple conceptual and statistical approaches for trend analysis and water balance estimations, mainly using rainfall, temperature and evapo-transpiration data. To a greater extent, recent studies have used advanced semi-physically or physically based distributed hydrological models driven by high resolution temporal and spatial data for diverse applications. A review of the methods used and the role of satellite remote sensing in this regard to understand the hydrology of Lake Tana and its basin are presented. VL - 8 IS - 3 ER -
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