Natural Resources Management and Policy Commons^™

Geospatial Wildfire Risk Prediction Using Deep Learning, Abner Alberto Benavides

Electronic Theses, Projects, and Dissertations

This report introduces a thorough analysis of wildfire prediction using satellite imagery by applying deep learning techniques. To find wildfire-prone geographical data, we use U-Net, a convolutional neural network known for its effectiveness in biomedical image segmentation. The input to the model is the Sentinel-2 multispectral images to supply a complete view of the terrain features.

We evaluated the wildfire risk prediction model’s performance using several metrics. The model showed high accuracy, with a weighted average F1 score of 0.91 and an AUC-ROC score of 0.972. These results suggest that the model is exceptionally good at predicting the location of …

Using A Geospatial Analysis Tool To Visualize Water Impairments And Engage Stakeholders In The San Bernardino National Forest, Jovany Estrada

Electronic Theses, Projects, and Dissertations

High quality water is an important resource that is integral to supporting environmental and human health. It is essential for economic, social and environmental purposes. Impairments to water resources can be attributed to anthropogenic sources that are associated with terrestrial activities including urban development and agricultural activities. Community-Based Participatory Research (CBPR) is an approach that can be used to include community input to improve water management strategies. In the San Bernardino National Forest (SBNF) area in southern California, there are disadvantaged communities that can benefit from a CBPR study to increase water quality in the area. A geovisualization tool will …

Low Impact Development Best Management Practices Comprehensive Overview And Case Study, Graciela Rivera

Electronic Theses, Projects, and Dissertations

This project paper is an overview of the different types of best management practices (BMPs) that can be applied within a Low Impact Development framework. Low Impact Development (LID) is a type of stormwater management implementation that is growing in popularity. It allows developments to manage stormwater by working within established ecosystems to lessen environmental impacts. The cost and effectiveness of these practices are examined. In the first chapter, a comprehensive summary to LIDs and BMPs is presented.

The costs and effectiveness of bioretention, biofiltraion and infiltration basins, as well as permeable pavements, were studied and compared. The facility case …

Evaluation Of A Sequential Pond System For Detention And Treatment Of Runoff At Skypark, Santa's Village, Elizabeth Caporuscio

Electronic Theses, Projects, and Dissertations

Understanding the extent to which human activities impact surface water resources has become increasingly important as both human population growth and related landscape changes impact water quality and quantity across varying geographical scales. Skypark, Santa’s Village is a 233.76-acre tourism-based outdoor recreation area located in Skyforest, California residing within the San Bernardino National Forest. The park is situated at Hooks Creek, the headwaters of the Mojave River Watershed, and is characterized by a diverse landscape that includes forest cover and human development, including impervious surfaces, a restored meadow, and recreational trails. In 2016, Hencks Meadow was considered degraded by human …