PRINT (ISSN) 2319-1783
ONLINE (ISSN) 2320-1126
ONLINE (ISSN) 2320-1126
M. Vinay*, Ramu and B. Mahalingam
Shoreline delineation is a complex task and it requires lot of man power required in terms of traditional method such as ground survey. But after 1973’s the Remote Sensing Landsat satellite have evolved and monitoring the earth environment from 1973 to present. A series of satellite have launched Landsat MSS, Landsat 5 TM, Landsat 7 ETM+, and Landsat 8 OLI/TIRS. By using the Landsat imagery, different indices and mathematical transformation have developed by several researchers for different application. The present study describes about how the Landsat imageries are utilized for shoreline extraction. The method of integrating Tasseled Cap and NDVI have utilized and by performing Unsupervised classification the shoreline will be delineated in a dynamic way.
https://doi.org/10.62226/ijarst20150199
PAGES : 245-247 | 31 VIEWS | 67 DOWNLOADS
M. Vinay*, Ramu and B. Mahalingam | Dynamic Approach to Extract Shorelines using Remotely Sensed Landsat Imageries: A Study in a Part of Honnavara Coastal Region, Karnataka, India | DOI : https://doi.org/10.62226/ijarst20150199
| 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.
