Multispectral satellite imagery and machine learning for the extraction of shoreline indicators
Abstract Analysis of shoreline change is fundamental to a broad range of investigations
undertaken by coastal scientists, coastal engineers, and coastal managers. Multispectral …
undertaken by coastal scientists, coastal engineers, and coastal managers. Multispectral …
Shoreline detection using optical remote sensing: A review
S Toure, O Diop, K Kpalma, AS Maiga - ISPRS International Journal of …, 2019 - mdpi.com
With coastal erosion and the increased interest in beach monitoring, there is a greater need
for evaluation of the shoreline detection methods. Some studies have been conducted to …
for evaluation of the shoreline detection methods. Some studies have been conducted to …
[HTML][HTML] The state of the world's beaches
Coastal zones constitute one of the most heavily populated and developed land zones in the
world. Despite the utility and economic benefits that coasts provide, there is no reliable …
world. Despite the utility and economic benefits that coasts provide, there is no reliable …
[HTML][HTML] CoastSat: A Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery
CoastSat is an open-source software toolkit written in Python that enables the user to obtain
time-series of shoreline position at any sandy coastline worldwide from 30+ years (and …
time-series of shoreline position at any sandy coastline worldwide from 30+ years (and …
Satellite-derived shoreline detection at a high-energy meso-macrotidal beach
Publicly available satellite imagery can now provide multi-decadal time series of shoreline
data from local to global scale, enabling analysis of sandy beach shoreline variability across …
data from local to global scale, enabling analysis of sandy beach shoreline variability across …
Shoreline change mapping using crowd-sourced smartphone images
Shoreline change information is critical for effective management of the coastal zone. This
study presents a low-cost method for mapping shoreline change that harnesses smartphone …
study presents a low-cost method for mapping shoreline change that harnesses smartphone …
Assessing the accuracy of automatically extracted shorelines on microtidal beaches from Landsat 7, Landsat 8 and Sentinel-2 imagery
JE Pardo-Pascual, E Sánchez-García… - Remote Sensing, 2018 - mdpi.com
This paper evaluates the accuracy of shoreline positions obtained from the infrared (IR)
bands of Landsat 7, Landsat 8, and Sentinel-2 imagery on natural beaches. A workflow for …
bands of Landsat 7, Landsat 8, and Sentinel-2 imagery on natural beaches. A workflow for …
Coastal analyst system from space imagery engine (CASSIE): shoreline management module
LP Almeida, IE de Oliveira, R Lyra, RLS Dazzi… - … Modelling & Software, 2021 - Elsevier
CASSIE is an open-source web tool for automatic shoreline mapping and analysis using
satellite imagery (www. cassiengine. com). This tool was built in JavaScript, using Google …
satellite imagery (www. cassiengine. com). This tool was built in JavaScript, using Google …
On the accuracy of automated shoreline detection derived from satellite imagery: A case study of the sand motor mega-scale nourishment
Measured trends and variability in shoreline position are used by coastal managers,
scientists and engineers to understand and monitor coastal systems. This paper presents a …
scientists and engineers to understand and monitor coastal systems. This paper presents a …
Evaluation of annual mean shoreline position deduced from Landsat imagery as a mid-term coastal evolution indicator
J Almonacid-Caballer, E Sánchez-García… - Marine Geology, 2016 - Elsevier
The shoreline is a useful indicator of mid-term coastal evolution. Every shoreline is affected
by instantaneous sea-level, the length of the run-up, and beach profile changes. In this work …
by instantaneous sea-level, the length of the run-up, and beach profile changes. In this work …