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GIS, Remote Sensing, Hydrology

Location:
Sacramento, CA
Posted:
September 09, 2015

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Resume:

*** ******** **,

Sacramento, CA, *****

Shital Dhakal

916-***-****

acrl63@r.postjobfree.com

Education

M.S in Hydrology (Geosciences) (3.9)

Boise State University, US

Fall 2015 (Expected)

Graduate Certificate in GIS (4.0)

Boise State University, US

Summer 2015

B.E in Geomatics Engineering (3.4)

Kathmandu University, Nepal

Spring 2013

Research Exchange Student

University of Nice, France

Fall 2012

Related Experience

Research Assistant

Boise Center Aerospace Laboratory (BCAL), Idaho

Jan, 2014 - Present

Used Lidar and Landsat to estimate semi-arid rangeland biomass and cover

Processing of remote sensing data (Lidar, multispectral and hyperspectral) using ENVI and ArcGIS.

Developed and presented statistical multiple linear regression, regression tree and machine learning model (Random Forest) using Python, MATLAB, R and SPM.

Carried out terrestrial laser scanning and reflectance spectroscopy in the field site.

Cooperated and Worked as a team with post-doctoral research fellow and PhD candidates, and agencies (USGS, Joint Fire Science Program, etc.) for RS data collection, GIS analysis and statistical investigation.

Lecturer

Kantipur International College of Engineering & Management, Nepal

March-Dec, 2013

Taught Engineering Survey and GIS to civil engineering sophomore students.

Research Intern

UMR 7300 ESPACE CNRS, France

Aug, 2012-Feb, 2013

Developed and calibrated hydrological model using HEC-HMS/GeoHMS

Estimated runoff in the Giscle catchment in France using the self-developed GIS model

Used ERDAS and ArcGIS to process to study the fire ignition risk in Mediterranean forest

Technical Skills

Lidar & Remote Sensing: Point cloud and Image processing using ENVI, ERDAS/LPS, Terrascan

GIS & mapping: ESRI ArcGIS (ArcMap, ArcCatalog, ArcSDE), Google Earth/Map Engine API, QGIS

Programming/Database: Matlab, R, Python(Arcpy), C, PostgreSQL, MS Access, PHP and HTML, HPC

Engineering Survey: Topographic and Construction Survey, Total Station, RTK GPS, Topcon/Sokkia Link

Hydrology: LACHAT Ion Chromatography, Campbell CR 1000 datalogger, HEC-RAS/HEC-HMS

Other: Auto CAD, Adobe Photoshop and Illustrator, Webmap Server, Netlogo

Related Training/ Workshop

Intensive Summer School for High Performance Computing (ISSCENS), NASA & University of Virginia (2015)

Google Mapping Workshop (Geo for Higher Ed), Google Headquarters, Mountain View (2014)

International Federation of Surveyors (FIG) Congress and FAO Roundtable Session, Malaysia (2014)

Leadershape- Leadership development retreat, Challis, US (2014)

Publications/ Conferences

Dhakal.S, A.Li, N. Glenn, et al 2015. “Estimating Aboveground Biomass of Sagebrush Using Lidar and Random Forest Regression”. Great Basin Consortium Conference, Boise, Idaho, US.

Dhakal.S, N. Glenn, D.Shinneman, et al 2014. “Using Multispectral Imagery and Lidar to scale up aboveground biomass in the sagebrush-steppe, SER Regional Conference, Redmond, Oregon (Second best poster).

Dhakal.S, D.M. Fox 2014. “Hydrological Modeling of the Potential Impact of Forest Fire on Runoff in a Mediterranean Catchment” Proceedings of XXV FIG Congress, Kuala Lampur, Malaysia (Peer reviewed).

Dhakal.S, 2012. “Land Cover Change and Urban Settlement Extraction in Kathmandu Valley Using Remote Sensing: A Proposition” GeoSpace, Geo-ICT Journal of GES, 1 (1):31-33.

Languages

English (Bilingual), Nepali (Native), Hindi (Proficient), French (Intermediate)

Objective: Seeking career opportunities in GIS/ Remote Sensing/ Hydrology. Willing to relocate after graduation (October 2015).



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