Li, Lin: Purdue School of Science at IUPUI (Project Lead)
Project Funding:
2010 - 2011
NRA: 2009 NASA: HyspIRI Preparatory Activities Using Existing Imagery
Funded by NASA
Abstract:
Cyanobacterial blooms (CYBB) are one of the most important issues concerning environmental agencies, water authorities and public health organizations. Global warming-induced climate change has been considered to be a catalyst for global expansion of harmful CYBB, and this leads to critical considerations on the effect of rising temperature and increasing nutrient runoff on the occurrence of microbial agents, phytoplankton, and CYBB.
 To demonstrate the efficiency of new generation satellite hyperspectral HyspIRI datasets in developing strategies for effectively addressing and managing CYBB as well as maintaining the ecological integrity and sustainability of inland drinking water bodies, this study proposes to build simulated HyspIRI datasets with EO-1 Hyperion images and EOS TERRA/ASTER thermal bands and apply them for mapping water temperature, nutrients (nitrite/nitrate, organic nitrogen, ortho-phosphate and organic phosphorus), chlorophyll a (Chl-a), and phycocyanin (PC) of three Central Indiana Reservoirs, correlate the spatial patterns of pigment concentrations, nutrients and temperature via regression analysis and build an early warning system for CYBB prediction through integration of remote sensing mapping with water quality modeling. We will address 1) for a given reservoir, what spectral parameters are more sensitive to Chl-a and PC concentration and what interfering parameters affect the performance of these spectral parameters, 2) for a given pigment, which mapping algorithm has good instrumental, temporal and spatial transferability, 3) what spectral parameters highly correlate to a nutrient constituent in drinking water and whether a correlation is causal; if not, what other water quality parameters are responsible for this correlation, 4) given the fact that temperature and nutrients are important factors for the occurrence of CYBB, whether high correlations can be observed among the spatial patterns of Chl-a, PC, nutrient constituents and temperature in these reservoirs, and 5) whether remote sensing mapping improves the parameterization of water quality models and thus their predictive power.
Publications:
Babbar-Sebens, M., Li, L., Song, K., Xie, S. 2013. On the Use of Landsat-5 TM Satellite for Assimilating Water Temperature Observations in 3D Hydrodynamic Model of Small Inland Reservoir in Midwestern US. Advances in Remote Sensing. 02(03), 214-227. DOI: 10.4236/ars.2013.23024
Song, K., Li, L., Li, S., Tedesco, L., Hall, B., Li, L. 2011. Hyperspectral Remote Sensing of Total Phosphorus (TP) in Three Central Indiana Water Supply Reservoirs. Water, Air, & Soil Pollution. 223(4), 1481-1502. DOI: 10.1007/s11270-011-0959-6
More details may be found in the following project profile(s):
