@inproceedings{ac4abed9607943ef83371aecbccaf8c0,
title = "Drainage Morphometric Analysis Using the Geo-Spatial Platform",
abstract = "The morphological features extracted using Arc Hydrology methods with the input of digital elevation model earth observation datasets are significant in comprehending the spatial arrangement of stream network feature. These are widely applied in deriving detail linear, relief, and areal morphometric parameters. Drainage density differs from 2.75 to 3.11 km/sq.km with a mean density of 2.8 km/sq.km indicating a coarse-grained texture. The sub-watershed in the study area displays a lower overland flow length of 0.2 km. Therefore, high precipitation is vital to contribute a substantial surface runoff volume to the acquittal stream in the basin area. Hence DEM is considered as an advanced data source in the GIS platform to extract and store digital databases for water resource management.",
author = "Hema Chandrappa and Nagendra Prabhakar and Arunkumar Yadav and Mahesh Doddaiah",
note = "Publisher Copyright: {\textcopyright} 2023 American Institute of Physics Inc.. All rights reserved.; 5th International Conference on Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering, I-DAD 2022 ; Conference date: 24-02-2022",
year = "2023",
month = jun,
day = "7",
doi = "10.1063/5.0139480",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Anand Palanivel and Meikandan Megaraj and Muthukumaran Packirisamy",
booktitle = "5th International Conference on Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering, I-DAD 2022",
}