​​MSA Urban Development over Time: A Fast, Accurate and Inexpensive Answer

Since the creation of the Landsat program in 1972, urban growth and change can be monitored from space.  With a 30 meter resolution large Metropolitan Statistical Areas (MSA) are ideal case studies for such a spatial assessment.  The population of the Miami - Fort Lauderdale - West Palm Beach MSA has continuously expanded, growing exponentially in the years past WWII (and with wide spread air conditioning).  This project compares the dramatic increase in population with the outward spread using imagery and animations.

Mapping Urban Land Cover using Multi-Scale and LiDAR in High Resolution Imagery

Classification of urban land cover is important in many areas of science including green space analysis, mapping urban growth, city planning and economic development.  While aerial photography is typically used for such analysis due to its high spatial resolution, it provides clues to the land use / land cover with respect only to visual clues.  LiDAR data contains elevation data that is useful in differentiating spectrally similar vegetation and impervious features which have distinctly different elevations.  However, LiDAR contains no scene information. Therefore the fusion of LiDAR data with aerial photography is beneficial providing more accurate classification analysis.  By combining the two types of remotely sensed imagery most of the disadvantages associated with either data is atoned.  This study revealed that overall accuracy from urban land cover classification improved using fused imagery over using aerial photographs alone showing how LiDAR data can improve classification analysis.

URBAN RESEARCH

The Geography of Murder: Comparing Homicides in Sister Cities Across the United States and Mexican Border

Across the border of the United States and Mexico vast difference of homicide rates occur.  This research depicts the statistics of homicides over several years in the sister cities of San Diego, CA and Tijuana, Baja California; El Paso, TX and Ciudad Juarez, Chihuahua; Nogales, AZ and Nogales, Sonora; and Laredo, TX and Nuevo Laredo, Tamaulipas.