
Christine Hladik
Assistant Professor Georgia Southern University
- Statesboro GA
Professor Hladik specializes in the application of geospatial data to address a range of ecological and management goals
Biography
My research has involved the remote sensing of both estuarine water quality and salt marsh habitats. The focus of my M.S. thesis was close range remote sensing of coastal water quality and the development of a robust algorithm for the prediction of chlorophyll a concentrations. My dissertation research evaluated tools used to describe elevation and plant distribution in a Southeastern salt marsh using light detection and ranging (LIDAR) and hyperspectral imagery.
Areas of Expertise
Education
University of Georgia
Ph.D.
Marine Sciences
2012
Creighton University
M.S.
Atmospheric Science
2004
Creighton University
B.S.
Environmental Science
2002
Articles
Salt marsh elevation and habitat mapping using hyperspectral and LIDAR data
Remote Sensing of EnvironmentChristine Hladik, John Schalles, Merryl Alber
2013
Accurate mapping of both elevation and plant distributions in salt marshes is important for management and conservation goals. Although light detection and ranging (LIDAR) is effective at measuring surface elevations, laser penetration is limited in dense salt marsh vegetation. In a previous study, we found that LIDAR-derived digital elevation model (DEM) error varied with vegetation cover...
Accuracy assessment and correction of a LIDAR-derived salt marsh digital elevation model
Remote Sensing of EnvironmentChristine Hladik, Merryl Alber
2012
Accurate habitat mapping in salt marshes is critical for both management and conservation goals. Information on marsh elevation is important to coastal managers, particularly for flood inundation mapping, coastal hazard assessments and modeling sea level rise. Elevation is also an important determinant of the frequency and duration of tidal flooding, which in turn affects species patterns in marshes: elevation differences of less than 10 cm can affect plant distributions and productivity...
Remote chlorophyll-a retrieval in turbid, productive estuaries: Chesapeake Bay case study
Remote Sensing of EnvironmentAnatoly A Gitelson, John F Schalles, Christine M Hladik
2007
Accurate remote assessment of phytoplankton chlorophyll a (chla) concentration is particularly challenging in turbid, productive waters. Recently a conceptual model containing reflectance in three spectral bands in the red and near infra-red range of the spectrum was suggested for retrieving chla concentrations in turbid productive waters; it was calibrated and validated in lakes and reservoirs in Nebraska and Iowa. The objective of this paper is to evaluate the performance of this three band model as well as its special case, the two-band model to estimate chla concentration in Chesapeake Bay, as representative of estuarine Case II waters, and to assess the accuracy of chla retrieval...