Remote data for mapping 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 …

The state-of-the-art in air pollution monitoring and forecasting systems using IoT, big data, and machine learning

A Gangwar, S Singh, R Mishra, S Prakash - Wireless Personal …, 2023 - Springer
The quality of air is closely linked with the life quality of humans, plantations, and wildlife. It
needs to be monitored and preserved continuously. Transportations, industries, construction …

A model integrating satellite‐derived shoreline observations for predicting fine‐scale shoreline response to waves and sea‐level rise across large coastal regions

S Vitousek, K Vos, KD Splinter… - Journal of …, 2023 - Wiley Online Library
Satellite‐derived shoreline observations combined with dynamic shoreline models enable
fine‐scale predictions of coastal change across large spatiotemporal scales. Here, we …

[HTML][HTML] Satellite optical imagery in Coastal Engineering

IL Turner, MD Harley, R Almar, EWJ Bergsma - Coastal Engineering, 2021 - Elsevier
Abstract This Short Communication provides a Coastal Engineering perspective on present
and emerging capabilities of satellite optical imagery, including real-world applications that …

The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods

S Birim, I Kazancoglu, SK Mangla, A Kahraman… - Annals of Operations …, 2024 - Springer
In recent years, machine learning models based on big data have been introduced into
marketing in order to transform customer data into meaningful insights and to make strategic …

Convolutional neural network and optical flow for the assessment of wave and tide parameters from video analysis (leucotea): An innovative tool for coastal monitoring

G Scardino, G Scicchitano, M Chirivì, PJM Costa… - Remote Sensing, 2022 - mdpi.com
Coastal monitoring is a topic continuously developing, which has been applied using
different approaches to assess the meteo-marine features, for example, to contribute to the …

Coastal wetland shoreline change monitoring: A comparison of shorelines from high-resolution WorldView Satellite imagery, aerial Imagery, and field surveys

KEL Smith, JF Terrano, JL Pitchford, MJ Archer - Remote Sensing, 2021 - mdpi.com
Shoreline change analysis is an important environmental monitoring tool for evaluating
coastal exposure to erosion hazards, particularly for vulnerable habitats such as coastal …

Energy load forecasting: One-step ahead hybrid model utilizing ensembling

N Tsalikidis, A Mystakidis, C Tjortjis, P Koukaras… - Computing, 2024 - Springer
In the light of the adverse effects of climate change, data analysis and Machine Learning
(ML) techniques can provide accurate forecasts, which enable efficient scheduling and …

Monitoring shoreline and land use/land cover changes in sandbanks provincial park using remote Sensing and climate data

E Kouhgardi, M Hemati, E Shakerdargah, H Shiri… - Water, 2022 - mdpi.com
Climate change-driven forces and anthropogenic interventions have led to considerable
changes in coastal zones and shoreline positions, resulting in coastal erosion or …

Shoreline change analysis along rivers and deltas: A systematic review and bibliometric analysis of the shoreline study literature from 2000 to 2021

MK Rahman, TW Crawford, MS Islam - Geosciences, 2022 - mdpi.com
Globally, coastal zones, rivers and riverine areas, and deltas carry enormous values for
ecosystems, socio-economic, and environmental perspectives. These often highly populated …