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Full-Text Articles in Physical Sciences and Mathematics
Using Gis-Based Land Use Strategies To Minimize The Impacts Of Urbanization On Agricultural Land And Forest Cover: Case Study Of The City Of Limbe, Cameroon, Lucy Ebude Deba Enomah
Using Gis-Based Land Use Strategies To Minimize The Impacts Of Urbanization On Agricultural Land And Forest Cover: Case Study Of The City Of Limbe, Cameroon, Lucy Ebude Deba Enomah
USF Tampa Graduate Theses and Dissertations
Urbanization is one of the most dominant phenomena of the 21st century; it is propelled by natural growth and rural-to-urban migration. This latter is typically a product of rural residents moving to urban centres in search of economic opportunities. This phenomenon is accompanied by immense land use and cover changes – predominantly agricultural and forest lands to urban land uses such as buildings and infrastructure. The goal of this research was to contribute to efforts to minimize the impacts of urbanization on agricultural land and forest cover in Limbe, Cameroon, and to develop GIS-based strategies to allocate suitable land for …
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 …