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Geography

University of Arkansas, Fayetteville

Graduate Theses and Dissertations

Theses/Dissertations

Classification

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Classification Of Satellite Time Series-Derived Land Surface Phenology Focused On The Northern Fertile Crescent, Brian Embree Bunker May 2013

Classification Of Satellite Time Series-Derived Land Surface Phenology Focused On The Northern Fertile Crescent, Brian Embree Bunker

Graduate Theses and Dissertations

Land surface phenology describes events in a seasonal vegetation cycle and can be used in a variety of applications from predicting onset of future drought conditions, to revealing potential limits of historical dry farming, to guiding more accurate dating of archeological sites. Traditional methods of monitoring vegetation phenology use data collected in situ. However, vegetation health indices derived from satellite remote sensor data, such as the normalized difference vegetation index (NDVI), have been used as proxy for vegetation phenology due to their repeated acquisition and broad area coverage. Land surface phenology is accessible in the NDVI satellite record when images …


An Alternate Approach To Ecosystem Mapping: Fusing Orthophotography With Landsat Etm+ Data For A Object-Based Classification, South Eastern Arkansas., David Mcfee May 2012

An Alternate Approach To Ecosystem Mapping: Fusing Orthophotography With Landsat Etm+ Data For A Object-Based Classification, South Eastern Arkansas., David Mcfee

Graduate Theses and Dissertations

Maintaining representative sampling of biologically rich and rare ecosystems has become an important means to preventing biodiversity loss. A limitation in indentifying and quantifying ecosystems is the cost of obtaining high resolution imagery necessary for a high resolution land cover assessment. This research shows how free, different resolution imagery (orthoimages and LANDSAT ETM+) could be combined to produce a hybrid dataset with enhanced spectral, spectral and temporal properties, and processed to obtain a object-based classification of land cover of bottomland and pine hardwood forest in south eastern Arkansas. Three classification techniques were evaluated: 1) a human derived, rule based method, …