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Ilangakoon - Geologist - Bowling Green, OH, USA

Nayani Ilangakoon

Bowling Green, OH, USA




GIS and Remote sensing

Work History

Advisor - Dr. Peter Gorsevski

Graduate Research Project

From December 2012

December 2012 - Present
Bowling Green State University, Ohio, USA
"The Relationship between Leaf Area Index (LAI) Estimated by Terrestrial LiDAR and Remotely Sensed Vegetation Indices as a Proxy to Forest Carbon Sequestration"
(Advisor - Dr. Peter Gorsevski)
The aim of this project is to develop a method to calculate the LAI using Terrestrial Laser Scanner (Terrestrial LiDAR) data as the "Insitu" measurements. The Terrestrial LiDAR based LAI will be verified using the LAI measurements collected from LAI 2200 Gap Light Analyzer. Using remotely sensed vegetation indices (NDVI PVI and PVI3) derived from Landsat data, a relationship between "insitu" LAI and vegetation indices will be developed. Applying Bayesian statistic based Marcov Chain Monte Carlo (MCMC) Simulation, the uncertainty in LAI estimates using vegetation indices such as NDVI, PVI and PVI3 will be determined.

Research Assistant

Bowling Green State University

August 2012 - December 2012


Geological Survey and Mines Bureau

January 2011 - July 2012

• Geological exploration of Quarts deposits (Location and extension of the deposit)
• Geophysical surveys (Resistivity and Magnetic Surveys)
• Mineral Sand Survey in the eastern coast of Sri Lanka


Gsmb Technical Services Private Limited

August 2010 - January 2011

, Sri Lanka
• Land Sand Surveys (Locations and extension of deposits)

Teaching Assistant

Geology Department, University of Peradeniya

September 2009 - August 2010

Kandy, Sri Lanka
Assisted 1st year to senior major undergraduate students by • Setting up labs
• Guiding field trips
• Grading lab reports

Ilangakoon, G.Y.M.N.T., & Dahanayake, K

Gold occurrence of some clay mineral rich soil profiles of central Sri Lanka. Proceedings of the Peradeniya University Research Session (PURSE), 14(II), 219 - 222.

University of Peradeniya, Kandy, Sri Lanka

May 2008 - May 2009

"Clay Mineralogy and Geochemistry of Soil Profiles Developed on Metasedimentary Rocks of Kandy and Gampola, Sri Lanka"
The variation of chemistry along the soil profiles derived by different types of metasedimentary rock basements was determined. Atomic Absorption Analysis, X-ray Diffraction Analysis as well as X-ray Fluorescent Analysis were conducted to study the chemistry. Findings demonstrated that, though the rock chemistry differs, the soil chemistry is similar and shows the same variation downward through the profile.


Trainee Geologist

June 2008 - August 2008

National Water Supply & Drainage Board (NWS&DB), Sri Lanka
• Site investigation for tube wells using resistivity profiling,
sounding and electrical imaging methods
• Resistivity curve analysis
• Aerial photo interpretation

Trainee Geologist

National Building Research Organization

June 2007 - August 2007

(NBRO), Sri Lanka
• Detailed investigation of landslide prone areas
• Geological mapping
• Report preparation


LAI estimation and uncertainty analysis of method using Terrestril LDAR and satellite based vegetati

Leaf area index (LAI), a dimensionless measure of canopy foliage content is used as a key biophysical variable in calculation of Net primary production (NPP) which is considered as one of the major parameter used to quantify the forest carbon stock. Therefore, accurate quantification of spatial distribution of LAI is indispensable and development of relationships between “in situ” or field based LAI measurements with remotely sensed vegetation indices is widely studied. However, all of this field based and remotely sensed data collection and calculation steps associate a number of sources of uncertainty which is a measure of validity of the developed relationship. Therefore, quantification of overall uncertainty in the method provides a better chance to understand the process and the effectiveness of the technique. Thus, this research aims (i) to develop a regression equation to quantify the spatial distribution of LAI using three vegetation indices, Normalized Difference Vegetation Index (NDVI), Perpendicular Vegetation Index (PVI), and Perpendicular Vegetation index 3 (PVI3) (ii) to quantify the overall uncertainty of the method developed.

Qualifications & Certifications


University of Peradeniya


Bowling Green State University

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