Google earth engine cloud computing platform for remote sensing big data applications: A comprehensive review

M Amani, A Ghorbanian, SA Ahmadi… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Remote sensing (RS) systems have been collecting massive volumes of datasets for
decades, managing and analyzing of which are not practical using common software …

Google Earth Engine and artificial intelligence (AI): a comprehensive review

L Yang, J Driscol, S Sarigai, Q Wu, H Chen, CD Lippitt - Remote Sensing, 2022 - mdpi.com
Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …

[HTML][HTML] CoastSat: A Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery

K Vos, KD Splinter, MD Harley, JA Simmons… - … Modelling & Software, 2019 - Elsevier
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 …

[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 …

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 …

Beach nourishment has complex implications for the future of sandy shores

MA de Schipper, BC Ludka, B Raubenheimer… - Nature Reviews Earth & …, 2021 - nature.com
Beach nourishment—the addition of sand to increase the width or sand volume of the beach—
is a widespread coastal management technique to counteract coastal erosion. Globally …

Benchmarking satellite-derived shoreline mapping algorithms

K Vos, KD Splinter, J Palomar-Vázquez… - … Earth & Environment, 2023 - nature.com
Satellite remote sensing is becoming a widely used monitoring technique in coastal
sciences. Yet, no benchmarking studies exist that compare the performance of popular …

Coastline detection in satellite imagery: A deep learning approach on new benchmark data

C Seale, T Redfern, P Chatfield, C Luo… - Remote Sensing of …, 2022 - Elsevier
Detailed and up-to-date coastline morphology data underpins our understanding of
coastline change over time. The development of an automated and scalable coastline …

Satellite-derived shoreline detection at a high-energy meso-macrotidal beach

B Castelle, G Masselink, T Scott, C Stokes… - Geomorphology, 2021 - Elsevier
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 …