scholarly journals Morphometric and Sub-Watershed Analysis of Taraka Watershed, H.D. Kote Taluk, Mysuru District, Karnataka, India using Remote Sensing and GIS Techniques

2021 ◽  
Vol 16 (3) ◽  
pp. 953-962
Author(s):  
Basavaraju Basavaraju ◽  
D. Nagaraju D. Nagaraju
Keyword(s):  
Remote Sensing ◽  
Structural Control ◽  
Research Work ◽  
Research Area ◽  
Remote Sensing And Gis ◽  
Morphometric Parameters ◽  
Drainage Pattern ◽  
Watershed Analysis ◽  
Coarse Texture ◽  
Gis Software

The current research work is an attempt to study of drainage area covering 429 sqkms comprising of 10 sub-watersheds they are namely Heggadadevanakote, Budanuru, Kodasige, Yedenhundi, Sunkadakatte, Nagarahole, Muruganahalli, Heggadapura, Kalhalla, Sarathihole. The research area has strong structural control shows that the 10 sub-basins named as the normal category. Different parameters of morphometric were used, Arc-Info and Arc -View GIS software was used to analysis the morphometric parameters and drainage characteristics, Sub-basin have been delineated by drainage pattern. The drainage pattern suggesting very coarse to coarse texture and the density explains the texture of drainage is related to coarse as geomorphic development their late youth stage and values suggest that Form factor, Circulatory ratio, Sub-basins are circular to elongated in shape.

scholarly journals Evaluation of Erosion-Prone Areas in Lamurde River Basin, Nigeria Using Morphometric Prioritization Method

2021 ◽  
pp. 17-31
Author(s):  
E. D. Oruonye ◽  
Y. M. Ahmed
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
River Basin ◽  
Drainage Basin ◽  
Remote Sensing And Gis ◽  
Parent Material ◽  
Morphometric Parameters ◽  
Drainage Pattern ◽  
Order Stream ◽  
Main Trunk

Remote sensing and GIS techniques have been increasingly used in characterization of drainage basin and prioritization of erosion prone watershed. This study uses remote sensing and GIS to characterise drainage basin morphometry and prioritize soil erosion prone sub watershed in the Lamurde watershed in Taraba state Nigeria. The study adopted standard formulae and methods to compute the morphometric parameters. The Lamurde watershed was delineated to fifteen sub-watersheds with each coded as WS1 to WS15. The result of the findings reveals that Lamurde watershed has a dendritic to sub-dendritic drainage pattern with the smaller streams intersecting the main trunk at acute angles. The findings reveal that Lamurde is a ninth order stream with total area of 1,458.66 km2 and a perimeter of 395.93 km. The basin also has 258,493 total number of streams. The main soil types in the Lamurde basin are fluvisol, lithosol, ferric luvisols and humic nitosols. The surface soil texture of the area is mainly loamy type and particle size classes are fine loamy type. Depth of soil varies from shallow to very deep and having parent material derived from sandstones, mudstones and shales. The findings of the study reveals that watershed: WS7, WS8, WS5, WS11, WS15, WS14, WS2 and WS6 in ascending order are very highly vulnerable to soil erosion. Despite inherent limitation in the use of morphometric parameters to prioritize erosion prone sub watersheds, it is most suitable in the present circumstances because of inadequate information and lack of functional measurement station in the basin, since they have more stable and accessible data on which prioritization of the watersheds can be based on. This study contributes to the problem of dearth of information regarding the susceptibility to erosion in the Lamurde River Basin in Taraba State Nigeria. Based on this findings, these sub watersheds should be given higher priority on any soil conservation intervention measures in the study area. This will go a long way to help address the problem of soil erosion in the area.

The Remote Sensing and GIS Software Library (RSGISLib)

2014 ◽  
Vol 62 ◽  
pp. 216-226 ◽  
Author(s):  
Peter Bunting ◽  
Daniel Clewley ◽  
Richard M. Lucas ◽  
Sam Gillingham
Keyword(s):  
Remote Sensing ◽  
Remote Sensing And Gis ◽  
Software Library ◽  
Gis Software

Morphometric Parameters and Neotectonics of Kalyani River Basin, Ganga Plain: A Remote Sensing and GIS Approach

2018 ◽  
Vol 91 (6) ◽  
pp. 679-686 ◽  
Author(s):  
Dhirendra Kumar ◽  
Dhruv Sen Singh ◽  
Shailendra Kaumar Prajapati ◽  
Imran Khan ◽  
Pawan Kumar Gautam ◽  
...  
Keyword(s):  
Remote Sensing ◽  
River Basin ◽  
Remote Sensing And Gis ◽  
Morphometric Parameters ◽  
Ganga Plain

scholarly journals Estimation of Morphometric Parameters of Karatoya sub-River Basin in Bangladesh using GIS and Remote Sensing Techniques

2020 ◽  
Vol 3 (3) ◽  
pp. 73-89
Author(s):  
Muhammad Jasim Uddin ◽  
Md. Abu Hamjalal Babu ◽  
Md. Risadul Islam ◽  
Fahim Farzana ◽  
Most. Lata Khatun ◽  
...  
Keyword(s):  
Remote Sensing ◽  
River Basin ◽  
Morphometric Analysis ◽  
Secondary Data ◽  
River Network ◽  
Morphometric Parameters ◽  
Drainage Pattern ◽  
Gis And Remote Sensing ◽  
Fine Grain ◽  
Drainage Texture

Morphometric analysis identifies the relationship of various aspects in the basin area, and plays an important role for understanding the geo-hydrological characteristics of a basin. The Karatoya River is ecologically and economically significant for Dinajpur region of Bangladesh. In this study, the morphometry of a sub-portion of Karatoya River in Birganj upazila was assessed by using GIS and remote sensing. The secondary data from ASTER DEM data and DEM data of Bangladesh were used to represent the morphologic and geo-hydrologic nature of the basin. The study computed and assessed more than 31 morphometric parameters in all aspects of the river basin. Morphometric analysis of the river network and the basin revealed that the Karatoya sub-basin was in the 6th order river network (as Strahler’s classification) with a dendritic and parallel drainage pattern and fine grain in drainage texture. This type of analysis will lead to develop the sustainable framework for agricultural and watershed management to be used by the local administration.

scholarly journals Assessment of Smog Pattern and its Effects on Visibility in Lahore Using Remote Sensing and GIS

2019 ◽  
Vol 10 (2) ◽  
pp. 55-59 ◽  
Author(s):  
Zartab Jahan ◽  
Faiza Sarwar ◽  
Isma Younes ◽  
Rakhshanda Sadaf ◽  
Adeel Ahmad
Keyword(s):  
Remote Sensing ◽  
Air Pollution ◽  
Human Activities ◽  
Satellite Images ◽  
Research Work ◽  
Remote Sensing And Gis ◽  
Considerable Reduction ◽  
The World ◽  
Lahore City

In recent times, many parts of the world are experiencing drastic levels of air pollution, which includessmog, the mixture of fog and smoke, polluted air formed by human activities like burning of coal, excessive use ofvehicles and many others. During November 2016, Lahore city also experienced the smog due to increased level of airpollutants. In earlier studies, very limited research work has been done related to smog, therefore, this research is aimedto study the pattern of smog in Lahore and its impact on visibility through remote sensing and GIS. Satellite images ofMODIS and Landsat OLI, of November, 2016 is used to study the pattern of smog, whereas the visibility data wasacquired from Pakistan Meteorological Department (PMD). For the processing and analysis of data ERDAS IMAGINE14 and ArcGIS 10.1 software were used. The findings of this research reveal that the dense smog cover on 2nd, 3rd,and 4th November 2016 leads to the considerable reduction in visibility. As on 2nd November’16, it was only 111.6meters (m) while during bright days it was recorded more than 300 m or 400 m.

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