|
Qi et al. 2025. “Constructing Time-Series Submerged Aquatic Vegetation by Integrating Process-Based Modeling and Satellite Images.”
|
|
0
|
2
|
March 10, 2025
|
|
Peng et al. 2025. A Novel Deep Learning Algorithm for Broad Scale Seagrass Extent Mapping in Shallow Coastal Environments
|
|
0
|
15
|
January 22, 2025
|
|
Roca et al. 2025. Subtidal Seagrass and Blue Carbon Mapping at the Regional Scale: A Cloud-Native Multi-Temporal Earth Observation Approach.” *GIScience & Remote Sensing
|
|
0
|
12
|
January 21, 2025
|
|
Hill et al. 2024. Mapping Seagrass Distribution and Abundance: Comparing Areal Cover and Biomass Estimates Between Space-Based and Airborne Imagery
|
|
0
|
23
|
November 26, 2024
|
|
Beca-Carretero et al, 2024. An Integrated Mapping Approach Highlights Extended Distribution and High Environmental Status of Irish Seagrass Meadows
|
|
0
|
8
|
October 21, 2024
|
|
Mastrantonis et al 2024. A Novel Method for Robust Marine Habitat Mapping Using a Kernelised Aquatic Vegetation Index
|
|
0
|
28
|
October 14, 2024
|
|
Wilson et al. 2024. Mapping Eelgrass Habitat in Southern Nova Scotia with Worldview-2/3 Satellite Imagery
|
|
0
|
10
|
September 23, 2024
|
|
Insalaco et al. 2024. Monitoring an Ecosystem in Crisis: Measuring Seagrass Meadow Loss Using Deep Learning in Mosquito Lagoon, Florida
|
|
0
|
73
|
June 2, 2024
|
|
Meister and Qu 2024. Quantifying Seagrass Density Using Sentinel-2 Data and Machine Learning
|
|
0
|
56
|
May 6, 2024
|
|
Vahtmäe et al. 2024. Assessing Seasonal and Inter-Annual Changes in the Total Cover of Submerged Aquatic Vegetation Using Sentinel-2 Imagery
|
|
0
|
29
|
May 6, 2024
|
|
Inter-method comparison study: sharing Tech Report, mapping QAPP and StoryMap
|
|
1
|
115
|
November 22, 2023
|
|
Liu et al. 2023. Quantifying the Potential Contribution of Submerged Aquatic Vegetation to Coastal Carbon Capture in a Delta System from Field and Landsat 8/9-Operational Land Imager (OLI) Data with Deep Convolutional Neural Network
|
|
0
|
135
|
August 1, 2023
|
|
Perez et al. 2020. Quantifying Seagrass Distribution in Coastal Water with Deep Learning Models
|
|
0
|
62
|
November 12, 2023
|
|
Teruhisa et al. 2020. Practical Mapping Methods of Seagrass Beds by Satellite Remote Sensing and Ground Truthing
|
|
0
|
60
|
November 9, 2023
|
|
Traganos et al. 2022. Spatially Explicit Seagrass Extent Mapping Across the Entire Mediterranean
|
|
0
|
71
|
November 9, 2023
|
|
Bremner et al. 2023. A Seagrass Mapping Toolbox for South Pacific Environments
|
|
0
|
64
|
November 9, 2023
|
|
Moniruzzaman et al. 2019. Imaging and Classification Techniques for Seagrass Mapping and Monitoring: A Comprehensive Survey
|
|
0
|
62
|
November 9, 2023
|
|
Rosalina et al. 2023. Estimation of Seagrass Beds Changes in the Barugaiya Village Waters over a Period of 5 Years 2019-2023
|
|
0
|
77
|
November 7, 2023
|
|
Vela et al. 2008. Use of SPOT 5 and IKONOS Imagery for Mapping Biocenoses in a Tunisian Coastal Lagoon (Mediterranean Sea)
|
|
0
|
100
|
August 14, 2023
|
|
Liang et al. 2023. Remote Sensing Detection of Seagrass Distribution in a Marine Lagoon (Swan Lake)
|
|
0
|
100
|
August 7, 2023
|
|
Kuhwald et al. 2021. How can Sentinel-2 contribute to seagrass mapping in shallow, turbid Baltic Sea waters?
|
|
0
|
174
|
December 13, 2021
|
|
Mateos-Molina et al. 2021. Applying an Integrated Approach to Coastal Marine Habitat Mapping in the North-Western United Arab Emirates
|
|
0
|
83
|
November 7, 2023
|
|
Al-Mansoori eet al. 2024. Seagrasses of the United Arab Emirates
|
|
0
|
54
|
November 7, 2023
|
|
Lizcano-Sandoval et al. 2023. Seagrass Areal Cover in Tampa Bay over the Last 30 Years (1990- 2021) Observed by Satellites
|
|
0
|
60
|
November 7, 2023
|
|
Traganos, Dimos. 2020. PhD Thesis: Development of Seagrass Monitoring Techniques Using Remote Sensing Data
|
|
0
|
66
|
November 7, 2023
|
|
Chowdhury et al. 2023. AI-driven remote sensing enhances Mediterranean seagrass monitoring and conservation to combat climate change and anthropogenic impacts
|
|
0
|
70
|
November 7, 2023
|
|
Victoria et al, 2023. Impact of Atmospheric Correction on Classification and Quantification of Seagrass Density from WorldView-2 Imagery
|
|
0
|
62
|
October 16, 2023
|
|
Ha et al. 2023. Superpixel for Seagrass Mapping: A Novel Method Using PlanetScope Imagery and Machine Learning in Tauranga Harbour, New Zealand
|
|
0
|
87
|
June 26, 2023
|
|
Clemente et al. 2023. The Vulnerability and Resilience of Seagrass Ecosystems to Marine Heatwaves in New Zealand: A Remote Sensing Analysis of Seascape Metrics Using PlanetScope Imagery
|
|
0
|
97
|
June 20, 2023
|
|
Yamakita et al 2019. Application of Deep Learning Techniques for Determining the Spatial Extent and Classification of Seagrass Beds, Trang, Thailand
|
|
0
|
156
|
May 10, 2023
|