Zobrazeno 1 - 6
of 6
pro vyhledávání: '"HA LINH TRINH"'
Publikováno v:
Drones, Vol 8, Iss 10, p 555 (2024)
High-resolution remote sensing of turbidity in the coastal environment with unmanned aerial vehicles (UAVs) can be adversely affected by the presence of obstructions of vessels and marine objects in images, which can introduce significant errors in t
Externí odkaz:
https://doaj.org/article/e762c36f6b4d4af6a471038f28895de2
Autor:
Ha Linh Trinh, Hieu Trung Kieu, Hui Ying Pak, Dawn Sok Cheng Pang, Wai Wah Tham, Eugene Khoo, Adrian Wing-Keung Law
Publikováno v:
Drones, Vol 8, Iss 2, p 52 (2024)
Complex coastal environments pose unique logistical challenges when deploying unmanned aerial vehicles (UAVs) for real-time image acquisition during monitoring operations of marine water quality. One of the key challenges is the difficulty in synchro
Externí odkaz:
https://doaj.org/article/528d80b5f4d04f1981d635e07dc9f223
Autor:
Ha Linh Trinh, Hieu Trung Kieu, Hui Ying Pak, Dawn Sok Cheng Pang, Angel Anisa Cokro, Adrian Wing-Keung Law
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2283 (2022)
Recently, remote sensing using survey-grade UAVs has been gaining tremendous momentum in applications for the coastal hydro-environment. UAV-based remote sensing provides high spatial and temporal resolutions and flexible operational availability com
Externí odkaz:
https://doaj.org/article/1e2ea3dc45be49289b4a6764989fed8b
Publikováno v:
Proceedings of the 39th IAHR World Congress.
Publikováno v:
Journal of Hydro-environment Research. 20:52-62
This study investigated the flow simulation uncertainty caused by the model parameters and input data for the Imjin River basin using the generalized likelihood uncertainty estimation (GLUE) method and the Sejong University rainfall-runoff (SURR) mod
Akademický článek
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