Shoreline predictive model using artificial intelligence for the homogeneous beach of the Western Coast of Ghana
Coastal areas are preferred home to about 40% of global population than any other ecosystems. Many organisms, including endangered species, live along sandy beaches. Nonetheless, such beaches are prone to erosion and flooding owing to natural and human factors. The shoreline, where land meets the s...
Saved in:
| Main Authors: | Cynthia Borkai BOYE, Peter Ekow BAFFOE, Paul BOYE |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Society of Land Measurements and Cadastre from Transylvania (SMTCT)
2025-03-01
|
| Series: | Nova Geodesia |
| Subjects: | |
| Online Access: | https://novageodesia.ro/index.php/ng/article/view/303 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Assessment of the Tipping Point Behavior for Shoreline Retreat: A PCR Model Application at Vung Tau Beach, Vietnam
by: Xiaoting Wang, et al.
Published: (2024-11-01) -
Research on Beach Erosion Risk and Shoreline Stability: A Case Study of the Zhongjieshan Islands Marine Reserve
by: DING Xuelin, et al.
Published: (2024-10-01) -
Influence of Rocky Obstacle Sand Bypassing on Embayed Beach Dynamics Using a Reduced-Complexity Shoreline Model
by: Elsa Durand, et al.
Published: (2024-12-01) -
Zonation of macrofauna across sandy beaches and surf zones along the Dutch coast
by: Gerard Janssen, et al.
Published: (2005-06-01) -
Methodology of data generation and calculation of erosion rates applied to littoral areas: Evolution of the Andalusian shoreline on exposed beaches during the 21st century (2001-2019)
by: Antonio Prieto Campos, et al.
Published: (2024-01-01)