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Advances in High-­Dimensional Remote Sensing of Vegetation

October 29, 2015
4:00 pm - 5:00 pm

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Dr. Anthony Filippi
Department of Geography Texas A&M University

Associate Professor


High-­dimensional remote-­sensing data (e.g., hyperspectral remote-­sensor images) and ancillary geospatial data sets can potentially enable extraction of detailed vegetation­‐type information, as well as more accurate vegetation biophysical parameter estimates, relative to low-­‐dimensional/multispectral data sets. As new sensors become operational, however, improved digital image-processing techniques are needed in order to handle the expected increase in hyperspectral remote-­sensor data volume in a computationally efficient manner. Traditional statistical techniques are of only limited use when performing hyperspectral/high-dimensional data analyses and classification. Thus, other methods must often be utilized when processing high-­dimensional data. Furthermore, hyperspectral analysis methods other than those typically employed by the geologic community, which often depend on diagnostic absorption features, may be better suited to address vegetation-­mapping applications. In this presentation, recent advances in hyperspectral/high-dimensional remote-­sensing image classification of vegetation targets, as well as vegetation biophysical parameter retrieval (e.g., aboveground biomass estimation in floodplain forests) based on high-­dimensional data, will be considered. The ability to map vegetation at a high level of specificity would be very useful for various applications, including habitat and crop management, and accurate floodplain forest aboveground-­biomass retrieval is urgently needed for improved understanding of carbon cycling in such areas.


Dr. Anthony M. Filippi is an Associate Professor in the Department of Geography, College of Geosciences, at Texas A&M University—College Station. Dr. Filippi earned a Bachelor’s degree in Geography from Kansas State University, a Master’s degree in Geography from the University of South Carolina, and a PhD in Geography from the University of South Carolina (2003). In the summers of 2005-­2008, he served as a Faculty Fellow at Oak Ridge National Laboratory (ORNL). Dr. Filippi has served as an invited Remote Sensing Expert on the Task Force on National Greenhouse Gas Inventories (TFI), Intergovernmental Panel on Climate Change (IPCC). His research interests include remote sensing/environmental and hydrologic optics, geographic information systems (GIS)-­based modeling, riverine and coastal studies, vegetation mapping, and machine learning. He primarily teaches courses in remote sensing and GIS/GIS-­based spatial analysis and modeling.


October 29, 2015
4:00 pm - 5:00 pm


Rudder Tower, Room 301