JOE MCGLINCHY

1503 East Citrus Avenue, Redlands, CA, 92374 | (330) 338-8387 | mcglinchJ@gmail.com | LinkedIn

CAREER OBJECTIVES

My career interests lie in identifying geospatial problems and solving them efficiently and accurately through

end-to-end system design, data acquisition, and data processing. This includes advancing the fusion of

remotely sensed data from different modalities to explain diversity and change in environmental systems,

enhancing feature extraction, and assessing this information and quality of data products at different scales.

TECHNICAL WORK EXPERIENCE

Esri, Inc.

Imagery Scientist (Disaster Response Team)

Responsibilities: As part of the Disaster Response Team, identify and make

available recent satellite and aerial imagery over priority areas which have

incurred disaster, along with analytics to produce actionable information

products.

Accomplishments:

  · Making Digital Globe satellite imagery (WorldView 2, WorldView 3) available as tile packages for

consumption in ArcGIS online, along with extracting actionable information such as relief tent areas from

the imagery.

Esri, Inc.

Imagery Scientist (Professional Services)

Responsibilities: Responding to and solving customer geospatial problems to

create and develop customized solutions using Esri's ArcGIS and open source

software. As part of Database Services, this includes problems and solutions

related to remotely sensed data, including aerial and satellite imagery, radar, and

lidar data. Past and Present efforts include:

Accomplishments:

• Probabilistic 3D model generation and point cloud extraction from unordered image collections.

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Feature identification from lidar point cloud data, including buildings, trees, and water bodies.

• Multidimensional image creation from point cloud data

• Pattern recognition in agricultural scenes through object based image analysis.

• Right-of-way encroachment of lidar points for vegetation management

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Shadow masking in RGB and RGB-NIR images

Statistic-based dynamically thresholded surface difference mapping

• Object and statistic based change detection from RGB imagery incorporating machine learning

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TECHNICAL SKILLS

Javascript development for web application consuming hyperspectral image services through ArcGIS Server

April 2015 – Present

June 2011 – Present

JOE MCGLINCHY

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Comprehensive computer and programming skill set: ArcGIS software suite, Microsoft Office package (MS Word,

Excel, Powerpoint, Access, and Outlook); ENVI remote sensing / image processing software (specifically object and

land use classification, target detection), Python, C/C++, Matlab, IDL, Java

Related knowledge and skill sets

• Extensive knowledge in remote sensing and imaging science fields

• Physics-based retrieval of geophysical products like reflectance and temperature

• Experience with atmospheric correction modules

• End-to-end radiometric analysis, optical sensor modeling and system noise analysis

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Lidar and image-derived point cloud processing and filtering

• 2D/3D geometric reconstruction from image collections

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• Participation in field data collection campaigns

• Experience in cloud computing environments

Strong statistical skills pertaining to classification techniques and spectral/textural analysis

• Hyperspectral and multispectral image analysis, unmixing, matching, and target detection

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Implementation of computer vision algorithms in a GIS framework

RESEARCH EXPERIENCE

Rochester Institute of Technology, Rochester, NY

Research Assistant

Responsibilities: Conduct research in order to compose and publish journal

articles in the field of remote sensing with specific application of waveform

LiDAR to assessing vegetation structure and variability.

Rochester Institute of Technology, Rochester, NY

Graduate Research Assistant

Responsibilities: Analyze and processed high dimensional remotely sensed data

acquired from the Carnegie Airborne Observatory (CAO) Alpha System based out

of Stanford University, California. Operate on hyperspectral as well as discretereturn

and fully-digitized waveform LiDAR data sets.

Accomplishments:

  · Developed relationships and measurements from LiDAR waveforms which describe surface interaction,

estimate field-measured biomass and describe structural diversity across a land use gradient in and around

Kruger National Park, South Africa.

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Gained valuable experience using Matlab environment to develop algorithms to process returned

waveform LiDAR data in order to extract features and establish above mentioned relationships.

Gained valuable experience using ENVI v4.0 and Matlab to process multidimensional data (hyperspectral as

well as waveform LiDAR) to evaluate land cover types in a savanna ecosystem.

  · Understanding of system-level and physics based data acquisition for multi/hyperspectral and LiDAR sensor

systems.

PUBLICATIONS, PAPERS, AND ACTIVITIES

“Extracting Water Bodies from a LAS Dataset – geometric and image based methods”, J. McGlinchy, C. McCormick,

International Lidar Mapping Forum 2015, Denver, CO, USA.

June 2009 – November 2010

November 2010 – May 2011

JOE MCGLINCHY

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"Extracting Structural Vegetation Components From Small-Footprint Waveform Lidar for Biomass Estimation in

Savanna Ecosystems", McGlinchy, J.; van Aardt, J.A.N.; Erasmus, B.; Asner, G.P.; Mathieu, R.; Wessels, K.; Knapp, D.;

Kennedy-Bowdoin, T.; Rhody, H.; Kerekes, J.P.; Ientilucci, E.J.; Wu, J.; Sarrazin, D.; Cawse-Nicholson, K., Selected Topics

in Applied Earth Observations and Remote Sensing, IEEE Journal of , vol.7, no.2, pp.480,490, Feb. 2014

“EXTRACTING STRUCTURAL LAND COVER COMPONENTS USING SMALL-FOOTPRINT WAVEFORM LIDAR DATA”

Author, Paper presented at the 2010 IEEE International Geoscience and Remote

Sensing Symposium (IGARSS)

“TOWARD 3-DIMENSIONAL TREE STRUCTURE CHARACTERIZATION USING SMALL-FOOTPRINT LIDAR

WAVEFORM SIMULATION”

Co-Author, Poster accepted at the 2010 IEEE International Geoscience and

Remote Sensing Symposium (IGARSS)

Chair/Co-Chair, IGARSS 2010 Poster Session, “Land Cover Change Detection Techniques”

EDUCATION

Rochester Institute of Technology, Rochester, NY

M.Sc. in Imaging Science

Area of Concentration: Remote Sensing

Key subjects within: Digital Image Processing, LiDAR acquisition and processing

Understanding of end-to-end system performance and characteristics

Thesis: “Extracting Structural Vegetation Components from Small-Footprint Waveform

LiDAR Data in Savanna Ecosystems”

The University of Akron, Akron, OH

B.Sc. with Honors in Electrical Engineering

Areas of Concentration: Signal Processing and Control

Key subjects within: Control Systems, Analog, Digital and Wireless Communication Systems

Senior Project: Design of Autonomous Robot, Trinity College Fire Fighting Robot Competition

AUTHORIZATION

United States Citizen; No Current Security Clearance

MEMBERSHIPS

The Institute of Electrical and Electronics Engineers (IEEE), Geoscience and Remote Sensing Society (GRSS)

American Society for Photogrammetry and Remote Sensing (ASPRS)

2008

Nov. 2010