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Table of Contents
Intro
Editorial for Special Issue: European Spatial Data for Coastal and Marine Remote Sensing
In the Category of Short Articles, There Are Six Articles
References
Contents
Contributors
Detection of Coccolithophore Bloom Episodes in Algiers Bay Using Satellite and In Situ Analysis
1 Introduction
2 Study Area
3 Materials and Methods
3.1 In Situ Data
3.2 Satellite Data Acquisition
3.3 Coccolithophore Bloom Index (Cocco-Index)
4 Results
4.1 Coccolithophore Bloom Episodes in the Algiers Bay from In Situ Observations
4.2 Monitoring and Spectral Response of E1, E2, and E3
4.3 Cocco-Index of E1, E2, and E3
4.4 Coccolithophore Bloom Episodes in the Algiers Bay (from 2003 to 2018)
5 Discussion
6 Conclusion
References
Multiscale Spatiotemporal NDVI Mapping of Salt Marshes Using Sentinel-2, Dove, and UAV Imagery in the Bay of Mont-Saint-Michel, France
1 Introduction
2 Methodology
2.1 Study Area
2.2 Imagery Source and Processing
2.2.1 Satellite Sentinel-2
2.2.2 Nanosatellite Dove
2.2.3 Unmanned Aerial Vehicle
2.3 Predicting the NIR at the UAV Scale
2.3.1 Two-Scaled Spectral Datasets
2.3.2 Neural Network Regression
3 Results
3.1 Changes in the Normalized Difference Vegetation Index Values
3.1.1 Satellite Sentinel-2
3.1.2 Nanosatellite Dove
3.2 Prediction of the Normalized Difference Vegetation Index Values
3.2.1 Unmanned Aerial Vehicle Near-Infrared
4 Discussion
4.1 Salt Marsh Spatiotemporal Patterns
4.1.1 Satellite-Based Salt Marsh Spatial Analysis
4.1.2 Satellite-Based Salt Marsh Temporal Change
4.2 Modelling the Extent of Salt Marsh at an Ultra-High Resolution
4.2.1 Spectral Predictive Modelling at Ultra-High Resolution
4.2.2 Predictive Modelling of Vegetation Height at Ultra-High Resolution
5 Conclusion
References
Contribution of Near- and Mid-Infrared Wavebands to Mapping Fine-Scale Coastal Ecogeomorphological Features
1 Introduction
2 Methodology
2.1 Study Site
2.2 Imagery Data
2.3 Class Identification
2.4 Pixel-Based Supervised Classification
3 Results and Discussion
3.1 Identification of the Best Model Based on Overall Accuracy
3.2 Class-Level Accuracy
3.2.1 Best Model for Classification of the Plant Features
3.2.2 Sedimentary Feature Classifications
4 Conclusion
References
Monitoring Land Cover Change in the Southeastern Baltic Sea Since the 1980s by Remote Sensing
1 Introduction
2 Context
2.1 The Soviet Period: Military Control and Economic Specialization
2.2 Liberalization and Gradual Coastalization of the Southeastern Baltic Countries
3 Methodology
3.1 Definition of the Coastal Zone Study Area
3.2 Data Acquisition
3.3 Method of Analysis of Land-Use Change
3.3.1 Pre-processing
Editorial for Special Issue: European Spatial Data for Coastal and Marine Remote Sensing
In the Category of Short Articles, There Are Six Articles
References
Contents
Contributors
Detection of Coccolithophore Bloom Episodes in Algiers Bay Using Satellite and In Situ Analysis
1 Introduction
2 Study Area
3 Materials and Methods
3.1 In Situ Data
3.2 Satellite Data Acquisition
3.3 Coccolithophore Bloom Index (Cocco-Index)
4 Results
4.1 Coccolithophore Bloom Episodes in the Algiers Bay from In Situ Observations
4.2 Monitoring and Spectral Response of E1, E2, and E3
4.3 Cocco-Index of E1, E2, and E3
4.4 Coccolithophore Bloom Episodes in the Algiers Bay (from 2003 to 2018)
5 Discussion
6 Conclusion
References
Multiscale Spatiotemporal NDVI Mapping of Salt Marshes Using Sentinel-2, Dove, and UAV Imagery in the Bay of Mont-Saint-Michel, France
1 Introduction
2 Methodology
2.1 Study Area
2.2 Imagery Source and Processing
2.2.1 Satellite Sentinel-2
2.2.2 Nanosatellite Dove
2.2.3 Unmanned Aerial Vehicle
2.3 Predicting the NIR at the UAV Scale
2.3.1 Two-Scaled Spectral Datasets
2.3.2 Neural Network Regression
3 Results
3.1 Changes in the Normalized Difference Vegetation Index Values
3.1.1 Satellite Sentinel-2
3.1.2 Nanosatellite Dove
3.2 Prediction of the Normalized Difference Vegetation Index Values
3.2.1 Unmanned Aerial Vehicle Near-Infrared
4 Discussion
4.1 Salt Marsh Spatiotemporal Patterns
4.1.1 Satellite-Based Salt Marsh Spatial Analysis
4.1.2 Satellite-Based Salt Marsh Temporal Change
4.2 Modelling the Extent of Salt Marsh at an Ultra-High Resolution
4.2.1 Spectral Predictive Modelling at Ultra-High Resolution
4.2.2 Predictive Modelling of Vegetation Height at Ultra-High Resolution
5 Conclusion
References
Contribution of Near- and Mid-Infrared Wavebands to Mapping Fine-Scale Coastal Ecogeomorphological Features
1 Introduction
2 Methodology
2.1 Study Site
2.2 Imagery Data
2.3 Class Identification
2.4 Pixel-Based Supervised Classification
3 Results and Discussion
3.1 Identification of the Best Model Based on Overall Accuracy
3.2 Class-Level Accuracy
3.2.1 Best Model for Classification of the Plant Features
3.2.2 Sedimentary Feature Classifications
4 Conclusion
References
Monitoring Land Cover Change in the Southeastern Baltic Sea Since the 1980s by Remote Sensing
1 Introduction
2 Context
2.1 The Soviet Period: Military Control and Economic Specialization
2.2 Liberalization and Gradual Coastalization of the Southeastern Baltic Countries
3 Methodology
3.1 Definition of the Coastal Zone Study Area
3.2 Data Acquisition
3.3 Method of Analysis of Land-Use Change
3.3.1 Pre-processing