Social and Behavioral Sciences Commons^™

Mapping And Assessing Urban Impervious Areas Using Multiple Endmember Spectral Mixture Analysis: A Case Study In The City Of Tampa, Florida, Fenqing Weng

USF Tampa Graduate Theses and Dissertations

The advance in remote sensing technology helps people more easily assess urban growth. In this study, the utility of multiple endmember spectral mixture analysis (MESMA) is examined in a sub-pixel analysis of Landsat Thematic Mapper (TM) imagery to map urban physical components in Tampa, FL. The three physical components of urban land cover (LC): impervious surface, vegetation and soil, were compared using the proposed MESMA with a traditional spectral mixture analysis (SMA). MESMA decomposes each pixel to address the heterogeneity of urban LC characteristic by allowing the number and types of endmembers to vary on a per pixel basis. This …