PRINT (ISSN) 2319-1783
ONLINE (ISSN) 2320-1126
ONLINE (ISSN) 2320-1126
M. Vinay*, Ramu, B.Mahalingam and B.V Shobha
The present study is conducted in order to determine the depth of sea floor. Study of Bathymetry is very importance in terms of navigation, Ship Docking and to understand the coastal process. Usage of Remote sensing data and generating a spatial database makes us to efficient use of data for the research purpose, the methodology for determining the bathymetry follows an empherical method of Geostatistical regression that the band ratio of Logarithm of Blue band divided by Logarithm of Red band of Landsat imagery versus Vertical Sounding data obtained from nautical chart. The obtained linear equation is multiplied with the output band. Then the results shows the bathymetry of seafloor across Shallow water of coastal region up to 50m of depth.
https://doi.org/10.62226/ijarst20140446
PAGES : 205-207 | 31 VIEWS | 76 DOWNLOADS
M. Vinay*, Ramu, B.Mahalingam and B.V Shobha | Estimation of Seafloor Bathymetry across the Shallow Waters of Coastal Region using Remote Sensing and GIS Techniques: A Case Study of Andaman Islands, Territory of Indian Administration, India | DOI : https://doi.org/10.62226/ijarst20140446
| Journal Frequency: | ISSN 2320-1126, Monthly | |
| Paper Submission: | Throughout the month | |
| Acceptance Notification: | Within 6 days | |
| Subject Areas: | Engineering, Science & Technology | |
| Publishing Model: | Open Access | |
| Publication Fee: | USD 60 USD 50 | |
| Publication Impact Factor: | 6.76 | |
| Certificate Delivery: | Digital |
IJARST aims to drive the costs of publishing down, while improving the overall publishing experience, and providing authors with a publication venue suitable for the 21st Century.
IJARST brings an exciting model of eco friendly scientific dissemination. Editors & Reviewers can Apply now to be part of the IJARST editorial initiative.
© 2022 IJARST | Public user content licensed CC BY 4.0 unless otherwise specified.
