|
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. |