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- Cartography (1)
- Data mining (1)
- Data science (1)
- DinSar (1)
- Early Modern Culture (1)
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- Harmful algal bloom (1)
- History of Cartography (1)
- Intermittent small baseline subset (ISBAS) (1)
- Landslide monitoring (1)
- Machine learning (1)
- Medieval Culture (1)
- Michigan (1)
- Middle Ages and Early Modern Period (1)
- Portolan Atlases (1)
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Articles 1 - 3 of 3
Full-Text Articles in Physical Sciences and Mathematics
Remote Sensing Application For Landslide Detection: Monitoring Along Eastern Lake Michigan (Miami Park, Mi), Guzalay Sataer
Remote Sensing Application For Landslide Detection: Monitoring Along Eastern Lake Michigan (Miami Park, Mi), Guzalay Sataer
Dissertations
I assessed the nature and spatial and temporal patterns of deformation over the Miami Park bluffs on the eastern margin of Lake Michigan and investigated the factors controlling its observed deformation. Our approach involved the following steps: (1) extracting bluff deformation rates (velocities along the line of sight of the satellite) using a stack of Sentinel-1A radar imagery in ascending acquisition geometry acquired between 2017 and 2021 and applying the Intermittent Small Baseline Subset (ISBAS) InSAR time series analysis method; (2) generating high-resolution (5 cm) elevation models and orthophotos from temporal unmanned aerial vehicle (UAV) surveys acquired in 2017, 2019, …
Mapping Narrations, Narrating Maps: Concepts Of The World In The Middle Ages And The Early Modern Period, Ingrid Baumgartner, Daniel Gneckow, Anna Hollenbach, Phillip Landgrebe
Mapping Narrations, Narrating Maps: Concepts Of The World In The Middle Ages And The Early Modern Period, Ingrid Baumgartner, Daniel Gneckow, Anna Hollenbach, Phillip Landgrebe
Research in Medieval and Early Modern Culture
This volume offers the author's central articles on the medieval and early modern history of cartography for the first time in English translation. A first group of essays gives an overview of medieval cartography and illustrates the methods of cartographers. Another analyzes world maps and travel accounts in relation to mapped spaces. A third examines land surveying, cartographical practices of exploration and the production of Portolan atlases.
A Remote Sensing And Machine Learning-Based Approach To Forecast The Onset Of Harmful Algal Bloom (Red Tides), Moein Izadi
A Remote Sensing And Machine Learning-Based Approach To Forecast The Onset Of Harmful Algal Bloom (Red Tides), Moein Izadi
Dissertations
In the last few decades, harmful algal blooms (HABs, also known as “red tides”) have become one of the most detrimental natural phenomena all around the world especially in Florida’s coastal areas due to local environmental factors and global warming in a larger scale. Karenia brevis produces toxins that have harmful effects on humans, fisheries, and ecosystems. In this study, I developed and compared the efficiency of state-of-the-art machine learning models (e.g., XGBoost, Random Forest, and Support Vector Machine) in predicting the occurrence of HABs. In the proposed models, the K. brevis abundance is used as the target, and 10 …