Topics tagged machine-learning

Topic	Views	Activity
James et al. 2024. Drone-Based Spatio-Temporal Assessment of a Seagras Meadow: Insights into Anthropogenic Pressure Current Literature uav , machine-learning , zostera-marina , france	50	May 6, 2024
Meister and Qu 2024. Quantifying Seagrass Density Using Sentinel-2 Data and Machine Learning Current Literature machine-learning , zostera-marina , satellite	46	May 6, 2024
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 Current Literature satellite , machine-learning , louisiana , valisneria-americana , najas-guadalupensis	129	August 1, 2023
Perez et al. 2020. Quantifying Seagrass Distribution in Coastal Water with Deep Learning Models Current Literature satellite , machine-learning , florida	62	November 12, 2023
Traganos, Dimos. 2020. PhD Thesis: Development of Seagrass Monitoring Techniques Using Remote Sensing Data Current Literature satellite , machine-learning	63	November 7, 2023
Chowdhury et al. 2023. AI-driven remote sensing enhances Mediterranean seagrass monitoring and conservation to combat climate change and anthropogenic impacts Current Literature satellite , posidonia , machine-learning , maltese-islands , balearic-islands	67	November 7, 2023
Thomasberger et al. 2023. Comparative Assessment of Five Machine Learning Algorithms for Supervised Object-Based Classification of Submerged Seagrass Beds Using High-Resolution UAS Imagery Current Literature denmark , machine-learning , uav , zostera-marina	89	July 24, 2023
Ha et al. 2023. Superpixel for Seagrass Mapping: A Novel Method Using PlanetScope Imagery and Machine Learning in Tauranga Harbour, New Zealand Current Literature new-zealand , satellite , zostera-muelleri , machine-learning	87	June 26, 2023
Yamakita et al 2019. Application of Deep Learning Techniques for Determining the Spatial Extent and Classification of Seagrass Beds, Trang, Thailand Current Literature satellite , aerial , machine-learning , thailand	151	May 10, 2023
Tallam et al. 2023. Application of Deep Learning for Classification of Intertidal Eelgrass from Drone-Acquired Imagery Current Literature california , uav , zostera-marina , machine-learning	111	May 8, 2023
Benmokhtar et al. 2023. Monitoring the Spatial and Interannual Dynamic of Zostera Noltei Current Literature zostera-noltei , sentinel-2 , machine-learning , aerial , satellite	121	May 5, 2023
Lizcano-Sandoval et al 2022. Seagrass Distribution, Areal Cover, and Changes (1990–2021) in Coastal Waters off West-Central Florida, USA Current Literature machine-learning , florida , satellite	155	November 3, 2022
Tahara, et al 2022. Species Level Mapping of a Seagrass Bed Using an Unmanned Aerial Vehicle and Deep Learning Technique Current Literature machine-learning , zostera-japonica , zostera-marina , uav	137	October 25, 2022
Traganos 2022. Earth Observation for Ecosystem Accounting: Spatially Explicit National Seagrass Extent and Carbon Stock in Kenya, Tanzania, Mozambique and Madagascar Current Literature machine-learning , sentinel-2 , satellite , kenya	121	July 18, 2022
Lebrasse et al., 2022 Temporal Stability of Seagrass Extent, Leaf Area, and Carbon Storage in St. Joseph Bay, Florida: A Semi-Automated Remote Sensing Analysis Current Literature satellite , florida , thalassia-testudinum , halodule-wrightii , machine-learning	175	March 21, 2022
Chand & Bollard. 2022. Detecting the Spatial Variability of Seagrass Meadows and Their Consequences on Associated Macrofauna Benthic Activity Using Novel Drone Technology Current Literature zostera-muelleri , machine-learning , uav	171	January 4, 2022
Ha, Nam Thang et al., “A Comparative Assessment of Ensemble-Based Machine Learning and Maximum Likelihood Methods for Mapping Seagrass Using Sentinel-2 Imagery in Tauranga Harbor, New Zealand.” Current Literature satellite , new-zealand , zostera-muelleri , machine-learning	171	February 15, 2021