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Physical and Environmental Geography Commons

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College of Natural Science and Mathematics

Remote Sensing

Publication Year

Articles 1 - 4 of 4

Full-Text Articles in Physical and Environmental Geography

Using Remotely Sensed Data To Detect Tamarisk Along Colorado’S San Miguel River, William E. Johnson May 2013

Using Remotely Sensed Data To Detect Tamarisk Along Colorado’S San Miguel River, William E. Johnson

Geography and the Environment: Graduate Student Capstones

Tamarisk, an invasive tree native to Eurasia, has become widespread in river corridors across the southwestern United States. Accused of excessive water consumption and degradation of native habitats, it has been the target of extensive eradication and restoration efforts. Identifying its ever-changing distribution and extent benefits natural resource managers tasked with planning and prioritizing invasive plant management activities.

The use of GIS tools and remotely sensed data offers the potential to speed and improve our ability to locate tamarisk distributions. This project searches for tamarisk by classifying land cover vegetation (including tamarisk) based on spectral reflectance values from three-band natural …


Enhancing Remote Sensing For Agriculture Using Small Unmanned Aerial Systems: San Diego, Ca, As A Test Case, Colin Kubera May 2013

Enhancing Remote Sensing For Agriculture Using Small Unmanned Aerial Systems: San Diego, Ca, As A Test Case, Colin Kubera

Geography and the Environment: Graduate Student Capstones

The development of small Global Positioning System (GPS) antennas and microprocessors has propelled the advancement of affordable Small Unmanned Aerial Systems (SUASs), which will dramatically expand the remote sensing field, making timely, high-resolution imagery readily available. The low cost and simple operation of SUASs makes them an attractive option for agriculture. Flying a SUAS 400 ft above ground level (AGL) in a flight path that allows for significant image overlap can yield sub- 5cm resolution imagery, which in turn can be mosaicked and used for multispectral imagery analysis. With results rivaling the most advanced commercial imaging sensors, SUASs can be …


Developing Tornado Climatology In The Southern Great Plains Per Phases Of Prominent Oceanic Oscillations, Nicholas M. Fillo Aug 2010

Developing Tornado Climatology In The Southern Great Plains Per Phases Of Prominent Oceanic Oscillations, Nicholas M. Fillo

Geography and the Environment: Graduate Student Capstones

Meteorologists are continually working toward a greater understanding of which atmospheric environments are most conducive for tornado development. This Capstone project analyzed tornado occurrences across Texas, Oklahoma, Arkansas and Louisiana during the period 1950 through 2009 to determine if any correlation exists between the location and frequency of tornado activity and the phases of the El Nino-Southern Oscillation, the Atlantic Multidecadal Oscillation and the Pacific Decadal Oscillation. While it was determined that no phase of any of the oscillations studied was significantly more dominant over the other(s) concerning frequency, this project does identify some spatial shifts in tornado activity depending …


Determining Heritage Oak Tree Susceptibility To Sudden Oak Death Using Gis Risk Analysis, Michelle M. Guzdek Jul 2010

Determining Heritage Oak Tree Susceptibility To Sudden Oak Death Using Gis Risk Analysis, Michelle M. Guzdek

Geography and the Environment: Graduate Student Capstones

Sudden Oak Death (SOD), caused by the pathogenic water mold Phytophthora ramorum, has killed hundreds of thousands of oak trees in the California coastal regions, with redwood-tanoak forests being hit the hardest (Shoemaker et al., 2007). The term “sudden oak death” is used to describe the disease, because of how rapidly the pathogen has killed otherwise healthy tanoaks, virtually in a matter of weeks (COMTF 2010). SOD was first reported in California in 1994 and is believed to have originated from infected nursery or ornamental plants, but the source has never been identified (Mascheretti et al. 2008).