Coastline extraction using remote sensing: A review

W Sun, C Chen, W Liu, G Yang, X Meng… - GIScience & Remote …, 2023 - Taylor & Francis
Coastlines are important basic geographic elements and map** their spatial and attribute
changes can help monitor, model and manage coastal zones. Traditional studies focused on …

Use of machine learning and remote sensing techniques for shoreline monitoring: A review of recent literature

CAD Tsiakos, C Chalkias - Applied Sciences, 2023 - mdpi.com
Climate change and its effects (ie, sea level rise, extreme weather events) as well as
anthropogenic activities, determine pressures to the coastal environments and contribute to …

Semantic segmentation of coastal aerial/satellite images using deep learning techniques: An application to coastline detection

P Scala, G Manno, G Ciraolo - Computers & Geosciences, 2024 - Elsevier
A new CNN based approach supported by semantic segmentation, was proposed. This
approach is frequently used to carry out regional-scale studies. The core of our method …

Assessing the accuracy of Sentinel-2 instantaneous subpixel shorelines using synchronous UAV ground truth surveys

N Pucino, DM Kennedy, M Young… - Remote Sensing of …, 2022 - Elsevier
Due to recent technological advancements in the field of cloud-based satellite remote
sensing, the barriers to global analysis ready dataset access and processing have lowered …

[HTML][HTML] Tide2Topo: A new method for map** intertidal topography accurately in complex estuaries and bays with time-series Sentinel-2 images

C Chen, C Zhang, B Tian, W Wu, Y Zhou - ISPRS Journal of …, 2023 - Elsevier
Intertidal zones serve as a critical transition between land and ocean and are periodically
inundated by tides. They are extremely important to coastal communities as it provides …

The future of coastal monitoring through satellite remote sensing

S Vitousek, D Buscombe, K Vos, PL Barnard… - Cambridge Prisms …, 2023 - cambridge.org
Satellite remote sensing is transforming coastal science from a “data-poor” field into a “data-
rich” field. Sandy beaches are dynamic landscapes that change in response to long-term …

Remote data for map** and monitoring coastal phenomena and parameters: A systematic review

RM Cavalli - Remote Sensing, 2024 - mdpi.com
Since 1971, remote sensing techniques have been used to map and monitor phenomena
and parameters of the coastal zone. However, updated reviews have only considered one …

Glh-water: A large-scale dataset for global surface water detection in large-size very-high-resolution satellite imagery

Y Li, B Dang, W Li, Y Zhang - Proceedings of the AAAI Conference on …, 2024 - ojs.aaai.org
Global surface water detection in very-high-resolution (VHR) satellite imagery can directly
serve major applications such as refined flood map** and water resource assessment …

An Overview of Coastline Extraction from Remote Sensing Data

X Zhou, J Wang, F Zheng, H Wang, H Yang - Remote Sensing, 2023 - mdpi.com
The coastal zone represents a unique interface between land and sea, and addressing the
ecological crisis it faces is of global significance. One of the most fundamental and effective …

[HTML][HTML] Map** intertidal topographic changes in a highly turbid estuary using dense Sentinel-2 time series with deep learning

C Chen, C Zhang, B Tian, W Wu, Y Zhou - ISPRS Journal of …, 2023 - Elsevier
Intertidal mudflats are an important component of the coastal geomorphological system at
the interface between ocean and land. Accurate and up-to-date map** of intertidal …