scholarly journals Analitical Study of Stream Frequency and Drainage Density of Upper Narmada Basin: A Remote Sensing and GIS Approach

2019 ◽  
Vol 06 (01) ◽  
pp. 179-182
Author(s):  
Vinay Raikwar ◽  
Pramod Pagare
Keyword(s):  
Remote Sensing ◽  
Drainage Density ◽  
Remote Sensing And Gis ◽  
Stream Frequency

scholarly journals GIS & Remote Sensing Based Morphometric Parameters and Topographic Changes of the Lower Orashi River in Niger Delta

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Desmond Eteh ◽  
Edirin Akpofure ◽  
Solomon Otobo
Keyword(s):  
Remote Sensing ◽  
River Basin ◽  
Drainage Density ◽  
Morphometric Parameters ◽  
Watershed Hydrology ◽  
Drainage Pattern ◽  
Total Size ◽  
Stream Frequency ◽  
Drainage Texture ◽  
Remote Sensing Techniques

In watershed hydrology, the morphometric features of a river basin are vital to examine the lower Orashi River basin morphological and hydrological aspects, as well as its flood potential, based on their morphometric characteristics using remotely sensed SRTM data that was analyzed with ArcGIS software. The areal, linear, and relief aspects of the Orashi River basin were examined as morphometric parameters. The lower Orashi river basin, according to the findings, has a total size of 625.61 km2 and a perimeter of 307.98 km, with a 5th order river network based on Strahler categorization and a dendritic drainage pattern. Because of low drainage density, the drainage texture is very fine, the relief is low, and the slope is very low. Bifurcation ratio, circularity ratio, drainage density aspect ratio, form factor, and stream frequency values indicate that the basin is less elongated and would produce surface runoff for a longer period, while topographic changes show that the river is decreasing with depth in the land area at about the same elevation as a result of sand deposited due to lack of maintenance by dredging, which implies that the basin is morphometrically elevated and sensitive to erosion and flooding. To understand geohydrological features and to plan and manage watersheds, morphometric analysis based on geographic information systems and remote sensing techniques is beneficial.

scholarly journals Morphometric analysis of Rasyan valley basin - A case study in the Republic of Yemen, using Remote Sensing and GIS techniques

MAUSAM ◽  
2021 ◽  
Vol 59 (2) ◽  
pp. 185-194
Author(s):  
MOHAMMED MANSOOR AL MULIKI ◽  
H. T. BASAVARAJAPPA
Keyword(s):  
Remote Sensing ◽  
Morphometric Analysis ◽  
Drainage Density ◽  
Remote Sensing And Gis ◽  
Bifurcation Ratio ◽  
Rock Types ◽  
Length Width ◽  
The Republic ◽  
Point Line ◽  
Internal And External Factors

Remote Sensing and GIS has given more importance for investigation of the geomorphological features based on the morphometric analysis duo to the diversity of data information by using digital map characters which help in moderating of data base information to get a different data like distance, area, point, line, polygon and qualitative data. This has decreased the errors which resulted by manual map sources. The main aim of this paper is the study of a morphometric analysis and characteristics of river basin area, basin shape, length, width and the ratio of length to the width, the ratio of rotation and circularity of the basin. It is also a study of relief characteristic, like slope and basin texture hypsometric curve. And also a study of drainage network characteristic like streams, stream order, length, drainage density, turn ratio, bifurcation ratio, weighted bifurcation ratio, type of drainage, and the relationship between all variables that mentioned above  with rock types and structural movements of internal and external  factors which  are represented by relief,  climate, soil, type of vegetation along with the human impact on the other hand. Results have been discussed for Rasyan valley basin in the Republic of Yemen using Landsat data.

Characterization and Evaluation of Soils of Singanallur Watershed Using Remote Sensing and GIS

2017 ◽  
Vol 8 (1) ◽  
pp. 51-56
Author(s):  
R. Vasundhara ◽  
◽  
S. Dharumarajan ◽  
Rajendra Hegde ◽  
S. Srinivas ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing And Gis
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