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Dr. Lin Li, Assistant Professor of Earth Sciences


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Contact Information
Office: SL 126
Phone: 317-274-0225
Email:
ll3@iupui.edu
Departmental Mailing Address

Background
Ph.D. 2002, Planetary Geology, Brown University

Specialties
Planetary Geology, Environmental Remote Sensing

My research involves lunar and planetary geology, environmental remote sensing and global climate change.

Research Program Course Information
My recent research focuses on wetland vegetation classification and invasive plant mapping with hyperspectral remote sensing data, lunar soil mapping and impact mixing with multispectral imagery, and using radiative transfer models to derive the biochemical and biophysical parameters of vegetation and soils. Additional research interest involves the development/improvement of digital image processing algorithms for material classification and discrimination.

Course Information and Webpages should be accessed through Oncourse

Fall 2007
G110 Physical Geology
G490 Undergraduate Seminar: Planetary Remote Sensing
G690 Graduate Seminar: Planetary Remote Sensing

Spring 2007
G490 Undergraduate Seminar: Planetary Geology
G690 Graduate Seminar: Planetary Geology

Recently Funded Projects Graduate Students/Interns
Bio-optical and empirical modeling of hyperspectral remote sensing for improved mapping of water quality parameters in Indianapolis’ Reservoirs
(PI, Central Indiana Water Resources Partnership (CIWRP) Grant, 2007-2008. $146,796)

Quantifying blue-green algae of central Indiana reservoirs using hyperspectral reflectance.
(PI, Central Indiana Water Resources Partnership (CIWRP) Grant, 2006-2007. $250,000)

An efficient remote sensing image registration tool using a hardware-accelerated framework.
(Co-PI, PI, Dr. Wei Wang (Computer Engineering, IUPUI), NASA-Indiana Space Grant Consortium (ISGC), 2006-2007. $10,000)

Mapping lunar soil composition with Clementine multispectral UVVIS Imagery.
(PI, NASA-Indiana Space Grant Consortium (ISGC), 2006-2007. $10,000)

Hyperspectral remote sensing for assessing drinking water quality.
(PI, NASA-Indiana Space Grant Consortium (ISGC), 2006-2007. $10,000)

Mineral anomaly detection of Mars with independent component analysis of imaging spectrometer data.
(PI, NASA-Indiana Space Grant Consortium (ISGC), 2006-2007. $4,000)

Using Satellite Hyperspectral Imagery to Characterize Soil Properties.
(PI, IUPUI RSFG Grant. 2005. $26,550)

Becky Sengpiel (M.S., 2007)
Airborne hyperspectral remote sensing to detect photosynthetic pigments of bacteria.

Baojuan Zheng
Remote sensing applications for monitoring and assessing environmental problems.

Tony Robertson
 

Links

Remote Sensing Lab

Recent Publications

Sengpiel, R., L. Li, D. L. Pascual, L. P. Tedesco, J. S. Wilson, and E. Soyeux, Using hyperspectral remote sensing to estimate chloropyll a and phycocyanin in a mesotrophic reservoir, International Journal of Remote Sensing, submitted, 2007.

Randolph, K., J. Wilson, L. Tedesco, L. Li, and E. Soyeux, Hyperspectral remote sensing of cyanobacteria in turbid inland water using optically active pigments, chlorophyll a and phycocyanin, Remote Sensing of Environment, submitted, 2007.

Li, L., Quantifying Lunar Soil Composition with Partial Least Squares Modeling of Reflectance, Advances in Space Research, submitted, 2006.

Li, L., Retrieval of Vegetation Equivalent Water Thickness from Reflectance Using Genetic Algorithm (GA)-Partial Least Squares (PLS) Regression, Advances in Space Research, submitted, 2006.

Li, L., Partial least squares modeling to quantify lunar soil composition with hyperspectral reflectance measurements, Journal of Geophysical Research-Planets, 111, E04002, doi:10.1029/2005JE002598, 2006

Li, L., S. L. Ustin, and D. Riaño, Retrieval of Fresh Leaf Fuel Moisture Content Using Genetic Algorithm – Partial Least Squares Modeling (GA-PLS), IEEE Transaction on Geoscience and Remote Sensing Letters, in press, 2006.

Li L., S. L.,Ustin, and M., Lay, Application of AVIRIS data for characterizing oil-induced land cover change at Jornada, New Mexico, Remote Sensing of Environment, 95, 1-16, 2005.

Li L., S. L. Ustin and M. Lay, Mapping vegetation of costal salt marsh with multiple endmember spectral mixture analysis (MESMA) of hyperspectral AVIRIS imagery, International Journal of Remote Sensing, , 26, 5193-5207, 2005.

Li, L., and J. F. Mustard, On lateral mixing efficiency of lunar regolith, Journal of Geophysical Research-Planets, 110, E11002, doi:10.1029/2004JE002295, 2005.

Whiting, M. L., L. Li and S. L. Ustin, Predicting water content using Gaussian model on soil spectra,  Remote Sensing of Environment, 89, 535-552, 2004.

Li, L., and J. F. Mustard, Highland contamination in lunar mare soils: Improved mapping with multiple endmember spectral mixture analysis (MESMA), J. Geophys. Res., 108, 7-1 to 7-14, 2003.

IUPUI Department of Earth Sciences
723 West Michigan Street, Room SL118
Indianapolis, Indiana 46202-5191
317.274.7484
317.274.7966 (fax)