Joe McGlinchy
Principal Remote Sensing Scientist @AiDASH
Signup · Get unlimited contacts
WORK HISTORY
Principal Remote Sensing Scientist @AiDASH
CO, US
Developing production-ready image processing & geospatial workflows with open-source software* Construction of data models to commonly represent data from several commercial high-resolution satellite imagery providers for use in machine learning workflows* improving data sharpening workflows* improving georegistration and automating orthorectification of commercial high-resolution level-1 imagery to sub-meter accuracy through open-source python libraries* use of open-source stereo and tri-stereo image processing frameworks for surface generation
EDUCATION
The University of Akron
BSEE, Electrical Engineering
Rochester Institute of Technology
Masters of Science, Imaging Science (Remote Sensing)
SKILLS
ABOUT JOE MCGLINCHY
My professional interests relate to utilizing remotely sensed data such as multi- and hyperspectral imagery, lidar, and radar, through data fusion, advanced processing, and exploitation to identify and solve big problems. As Principal Remote Sensing Scientist with AiDASH, I am enjoying the challenge of operationalizing image processing workflows for lower-level commercial satellite imagery to aid in 3D mapping of vegetation for applications in the utility sector.I have over 13 years of experience in the remote sensing and geospatial industries and hold a Masters of Science in Imaging Science from Rochester Institute of Technology and a Bachelors of Science in Electrical Engineering from the University of Akron.Related knowledge and skill sets• Extensive knowledge in remote sensing and imaging science fields• Physics-based retrieval of physical parameters like reflectance and temperature• Experience with atmospheric correction modules, such as (Py)6S• statistical background pertaining to classification techniques and spectral/textural analysis• Hyperspectral and multispectral image analysis, unmixing, matching, and target detection• Lidar and image-derived point cloud processing and filtering• 2D/3D geometric reconstruction from high resolution image collections• Implementation of computer vision algorithms in a geospatial framework• Participation in field data collection campaigns• Experience in cloud computing environments (AWS)
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.