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Yamakita et al 2019. Application of Deep Learning Techniques for Determining the Spatial Extent and Classification of Seagrass Beds, Trang, Thailand
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0
|
34
|
May 10, 2023
|
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Benmokhtar et al. 2023. Monitoring the Spatial and Interannual Dynamic of Zostera Noltei
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0
|
30
|
May 5, 2023
|
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Mancini et al. 2023. Detecting Trends in Seagrass Cover through Aerial Imagery Interpretation: Historical Dynamics of a Posidonia Oceanica Meadow Subjected to Anthropogenic Disturbance
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0
|
31
|
April 11, 2023
|
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Ward et al. 2022. Spatial Extent of Seagrasses (Zostera marina and Ruppia maritima) along the Central Pacific Coast of Baja California, Mexico, 1999–2000
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0
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91
|
November 9, 2022
|
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Aerial firms we've used
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|
2
|
87
|
April 6, 2023
|
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Schrock 2022. When a Drone Just Can't Do It
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0
|
74
|
July 6, 2022
|
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Writing a request for services for seagrass mapping
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1
|
138
|
March 9, 2022
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West & Glasby. 2021. Interpreting Long-Term Patterns of Seagrasses Abundance: How Seagrass Variability Is Dependent on Genus and Estuary Type
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0
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124
|
November 18, 2021
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Update from MassBays: Drones and other remote methods
|
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2
|
149
|
November 1, 2021
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Veettil et al. 2020. Opportunities for Seagrass Research Derived from Remote Sensing: A Review of Current Methods
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0
|
141
|
September 14, 2021
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Clarke, Kenneth et al., “Using hyperspectral imagery to investigate large‑scale seagrass cover and genus distribution in a temperate coast”
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0
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137
|
February 23, 2021
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Danovaro, Roberto et al. “Multiple declines and recoveries of Adriatic seagrass meadows over forty years of investigation"
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0
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115
|
November 3, 2020
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Kaufman, Kristen A., et al. “The Use of Imagery and GIS Techniques to Evaluate and Compare Seagrass Dynamics across Multiple Spatial and Temporal Scales”
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0
|
135
|
September 30, 2020
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Olsen, Zachary, et al. “Logistical and Technical Considerations for the Use of Unmanned Aircraft Systems in Coastal Habitat Monitoring: A Case Study in High-Resolution Subaquatic Vegetation Assessment
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0
|
95
|
September 30, 2020
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