Google Earth Engine and artificial intelligence (AI): a comprehensive review
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 …
global climate change, risk assessment and vulnerability reduction of natural hazards …
Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
Abstract Google Earth Engine (GEE) is a cloud-based geospatial processing platform for
large-scale environmental monitoring and analysis. The free-to-use GEE platform provides …
large-scale environmental monitoring and analysis. The free-to-use GEE platform provides …
[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 …
[HTML][HTML] Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery
Accurate, robust and consistent coastline mapping is critical for characterising and
managing coastal change. Satellite earth observation provides an unparalleled source of …
managing coastal change. Satellite earth observation provides an unparalleled source of …
Machine learning classification of mediterranean forest habitats in google earth engine based on seasonal sentinel-2 time-series and input image composition …
The sustainable management of natural heritage is presently considered a global strategic
issue. Owing to the ever-growing availability of free data and software, remote sensing (RS) …
issue. Owing to the ever-growing availability of free data and software, remote sensing (RS) …
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 …
Sub-annual to multi-decadal shoreline variability from publicly available satellite imagery
The ability to repeatedly observe and quantify the changing position of the shoreline is key
to present-day coastal management and future coastal planning. This study evaluates the …
to present-day coastal management and future coastal planning. This study evaluates the …
Benchmarking satellite-derived shoreline mapping algorithms
Satellite remote sensing is becoming a widely used monitoring technique in coastal
sciences. Yet, no benchmarking studies exist that compare the performance of popular …
sciences. Yet, no benchmarking studies exist that compare the performance of popular …
[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 …
Zhoushan archipelago. However, a large amount of suspended sediments, a tortuous …