Multispectral satellite imagery and machine learning for the extraction of shoreline indicators

E McAllister, A Payo, A Novellino, T Dolphin… - Coastal …, 2022 - Elsevier
Abstract Analysis of shoreline change is fundamental to a broad range of investigations
undertaken by coastal scientists, coastal engineers, and coastal managers. Multispectral …

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 mapping their spatial and attribute
changes can help monitor, model and manage coastal zones. Traditional studies focused on …

[HTML][HTML] Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery

R Bishop-Taylor, R Nanson, S Sagar… - Remote Sensing of …, 2021 - Elsevier
Accurate, robust and consistent coastline mapping is critical for characterising and
managing coastal change. Satellite earth observation provides an unparalleled source of …

[HTML][HTML] Temporal and spatial variation of coastline using remote sensing images for Zhoushan archipelago, China

C Chen, J Liang, F Xie, Z Hu, W Sun, G Yang… - International Journal of …, 2022 - Elsevier
The acquisition of dynamic information on the coastline is of great significance for the
Zhoushan archipelago. However, a large amount of suspended sediments, a tortuous …

Monitoring the coastline change of Hatiya Island in Bangladesh using remote sensing techniques

MK Ghosh, L Kumar, C Roy - ISPRS Journal of Photogrammetry and …, 2015 - Elsevier
A large percentage of the world's population is concentrated along the coastal zones. These
environmentally sensitive areas are under intense pressure from natural processes such as …

Automatic extraction of shorelines from Landsat TM and ETM+ multi-temporal images with subpixel precision

JE Pardo-Pascual, J Almonacid-Caballer… - Remote Sensing of …, 2012 - Elsevier
A high precision geometric method for automated shoreline detection from Landsat TM and
ETM+ imagery is presented. The methodology is based on the application of an algorithm …

Artificial intelligence to advance Earth observation: a perspective

D Tuia, K Schindler, B Demir, G Camps-Valls… - arXiv preprint arXiv …, 2023 - arxiv.org
Earth observation (EO) is a prime instrument for monitoring land and ocean processes,
studying the dynamics at work, and taking the pulse of our planet. This article gives a bird's …

A review and meta-analysis of remote sensing data, GIS methods, materials and indices used for monitoring the coastline evolution over the last twenty years

D Apostolopoulos, K Nikolakopoulos - European Journal of …, 2021 - Taylor & Francis
The current review study focuses on a statistical analysis (Meta-analysis) of the most
common methods, materials, software, and indices used by researchers over the last twenty …

Shoreline change detection using DSAS technique: case of Saint Martin Island, Bangladesh

MF Hossen, N Sultana - Remote sensing applications: society and …, 2023 - Elsevier
Abstract Saint Martin, Bangladesh's only coral island, is a popular tourist destination and a
blue economy hub. Saint Martin's shoreline constantly changes due to natural and …

Earth observation and artificial intelligence: Understanding emerging ethical issues and opportunities

M Kochupillai, M Kahl, M Schmitt… - … and Remote Sensing …, 2022 - ieeexplore.ieee.org
Ethics is a central and growing concern in all applications utilizing artificial intelligence (AI).
Earth observation (EO) and remote sensing (RS) research relies heavily on both big data …