Physical Sciences and Mathematics Commons^™

Invasive Buckthorn Mapping: A Uav-Based Approach Utilizing Machine Learning, Gis, And Remote Sensing Techniques In The Upper Peninsula Of Michigan, Vikranth Madeppa

Dissertations, Master's Theses and Master's Reports

An Invasive species is a species that is alien or non-native to the ecosystem which causes harm to economic, environmental, or human health (E.O. 13112 of Feb 3, 1999). Invasive species have posed a serious threat to ecosystems across the globe. These invasive species have impacts on the biodiversity and productivity of invaded forests. Remotely sensed data is a valuable resource for understanding and addressing issues related to invasive species. This study presents a novel approach for mapping the distribution of two invasive plant species, Common and Glossy Buckthorn, using unmanned aerial vehicles (UAVs), machine learning algorithms, geographic information systems …

Image-Data-Driven Deep Learning For Slope Stability Analysis, Behnam Azmoon

Dissertations, Master's Theses and Master's Reports

Landslides cause major infrastructural issues, damage the environment, and cause socio-economic disruptions. Therefore, various slope stability analysis methods have been developed to evaluate the stability of slopes and the probability of their failure. This dissertation attempts to take advantage of the recent advancements in remote sensing and computer technology to implement a deep-learning-based landslide prediction method.

Considering the novelty of this approach, this dissertation leads with proof-of-concept studies to evaluate and establish the suitability of deep learning models for slope stability analysis. To achieve this, a simulated 2D dataset of slope images was created with different geometries and soil properties. …

A Methodology For The Creation Of Volcanic Gas Hazard Maps Using Satellite-Derived Sulfur Dioxide, Sanna J. Mairet

Dissertations, Master's Theses and Master's Reports

Sulfur dioxide (SO₂) gas has been shown to be detrimental to human and environmental health and is emitted continuously from anthropogenic and volcanic sources. Sulfur dioxide is the main target gas used for the detection of hazardous volcanic plumes due to its ease of detection by satellite sensors. However, quantitative information on potential ground-level exposure to volcanic SO₂ (i.e., a volcanic gas ‘hazard map’) is currently unavailable for the vast majority of active volcanoes. Utilizing sulfur dioxide vertical column densities retrieved from the Ozone Monitoring Instrument on NASA’s Aura satellite, Gridded Population of the World v.4, planetary …

Developing A Gis Tool For Infinite Slope Stability Analysis (Gis-Tissa), Jonathon Sanders

Dissertations, Master's Theses and Master's Reports

The Probabilistic Infinite Slope Analysis model (PISA-m) is a widely used computer program that uses infinite slope equations to calculate the spatially varying Factor of Safety of slopes. ESRI’s ArcGIS software and accompanying geoprocessing tools have become a mainstay in spatial data processing, and received full support for Python with the release of version 10. With many of the geoprocessing tools now available as a Python function, the software can be used for physics-based spatial landslide hazard analysis. A model that mimics PISA-m and its processing of normally distributed soil properties was created using the Python utility as a tool …

Flood Risk Assessment Under Historical And Predicted Land Use Change Using Continuous Hydrologic Modeling, Jonathan T. Nelson

Dissertations, Master's Theses and Master's Reports - Open

Current procedures for flood risk estimation assume flood distributions are stationary over time, meaning annual maximum flood (AMF) series are not affected by climatic variation, land use/land cover (LULC) change, or management practices. Thus, changes in LULC and climate are generally not accounted for in policy and design related to flood risk/control, and historical flood events are deemed representative of future flood risk. These assumptions need to be re-evaluated, however, as climate change and anthropogenic activities have been observed to have large impacts on flood risk in many areas. In particular, understanding the effects of LULC change is essential to …