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Social and Behavioral Sciences Commons

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LSU Doctoral Dissertations

Theses/Dissertations

2012

Remote sensing

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Out Of Site But Not Out Of Mind: Submerged Prehistoric Landscapes On The Northwestern Gulf Of Mexico Outer Continental Shelf, Amanda M. Evans Jan 2012

Out Of Site But Not Out Of Mind: Submerged Prehistoric Landscapes On The Northwestern Gulf Of Mexico Outer Continental Shelf, Amanda M. Evans

LSU Doctoral Dissertations

Archaeological sites are more important than simply the artifacts they contain. Locations of human occupation and activity form a pattern that can provide information about perceptions of the landscape, decisions about resources, or preferences. Explaining this “perceived” environment is one of archaeology’s goals in explaining past human behavior. In order to address these goals, archaeologists must first identify elements of the “real” landscape, including the geographical environment, its resources, and evidence of human modification. Only after these real elements have been identified can the perceived environment be explored. On the outer continental shelf of the northwestern Gulf of Mexico, formerly …


An Object-Based Image Analysis Approach For Detecting Urban Impervious Surfaces, Amit Kulkarni Jan 2012

An Object-Based Image Analysis Approach For Detecting Urban Impervious Surfaces, Amit Kulkarni

LSU Doctoral Dissertations

Impervious surfaces are manmade surfaces which are highly resistant to infiltration of water. Previous attempts to classify impervious surfaces from high spatial resolution imagery with pixel-based techniques have proven to be unsuitable for automated classification because of its high spectral variability and complex land covers in urban areas. Accurate and rapid classification of impervious surfaces would help in emergency management after extreme events like flooding, earthquakes, fires, tsunami, and hurricanes, by providing quick estimates and updated maps for emergency response. The objectives of this study were to: (1) compare classification accuracy between pixel-based and OBIA methods, (2) examine whether the …