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Full-Text Articles in Physical Sciences and Mathematics
A Look At Land Cover Classification Methods In Northern California With The Use Of High Spatial Resolution Geospatial Data, Lucila Corro
A Look At Land Cover Classification Methods In Northern California With The Use Of High Spatial Resolution Geospatial Data, Lucila Corro
Cal Poly Humboldt theses and projects
Land use and land cover (LULC) mapping plays a vital role in understanding the state of the world, showing us a visual representation of the natural and anthropogenic features covering our planet. Northern California in the United States is home to many critical habitats that provide for a variety of endemic and some threatened and engendered species, making it an area of particular concern to better understand and monitor. There is a greater need to identify specific methods for vegetation modeling in Northern California due to its unique species; to do this we examined two case studies with the following …
Can A Remote Sensing Approach With Hyperspectral Data Provide Early Detection And Mapping Of Spatial Patterns Of Black Bear Bark Stripping In Coast Redwoods?, Shayne R. Magstadt
Can A Remote Sensing Approach With Hyperspectral Data Provide Early Detection And Mapping Of Spatial Patterns Of Black Bear Bark Stripping In Coast Redwoods?, Shayne R. Magstadt
Cal Poly Humboldt theses and projects
The prevalence of black bear (Ursus americanus) bark stripping in commercial redwood (Sequoia sempervirens) timer stands has been increasing in recent years. This stripping is a threat to commercial timber production because of the deleterious effects on redwood tree fitness. This study sought to unveil a remote sensing method to detect these damaged trees early and map their spatial patterns. By developing a timely monitoring method, forest timber companies can manipulate their timber harvesting routines to adapt to the consequences of the problem. We explored the utility of high spatial resolution UAV-collected hyperspectral imagery as a …