CSRS 2021 – Our Workshops

Google Earth Engine (GGE)

Date: June 21, 2021– 9:00 am Mountain Daylight Time (GMT-6)

Instructor:

Koreen Millard is an Assistant Professor in the Department of Geography and Environmental Studies at Carleton University. Her research focuses on multi-sensor data fusion for improved understanding of hydrology/vegetation change and interactions in wetlands and coupling time-series remote sensing with field-measurements. Koreen has been using GEE for several years, and uses both the Javascript and Python API for analysis of both multi-spectral and SAR imagery.

LiDAR data processing in R with the lidR package

Date: June 21, 2021– 9:00 am Mountain Daylight Time (GMT-6)

Instructor: Jean-Romain Roussel is a postdoctoral researcher at Laval University working on the development of ALS data processing methods to map the forest environments. His current work is focusing on mapping forestry roads, lakes, power-lines and individual trees from high accuracy ALS point-clouds. Jean-Romain started the development of the lidR package in 2016 during his PhD at Laval University preliminary for self-use and to be able to conduct easily some uncommon and innovative analyses using open-source tools. The package now has a broad penetration in the academic world and Jean-Romain continues to maintain and enhance it in collaboration with the Ministère des Forêts, de la Faune et des Parcs du Québec.

Deep Learning

Date: June 21, 2021 – 9:00 am, Mountain Daylight Time (GMT-6)

Instructors: Dr. Connie Ko, Maryam Jameela, Andrew Chadwick

Dr. Connie Ko is an adjunct faculty member and research associate at York University. She graduated her doctorate from Department of Earth and Space Science and Engineering at Lassonde School of Engineering, York University. Connie has 13 years of LiDAR data experience and her current research interest involves the development and application of 3D object detection with LiDAR data.

Maryam Jameela is a third year PhD student in Department of Earth and Space Sciences and Engineering at Lassonde School of Engineering, York University. She has been focusing on computer vision and deep learning for geomatics applications. Her current research theme is development of noise classification algorithm and deep utility semantic neural network for large-scale 3D point cloud. She is hardcore programmer on the side with computer-science major.

Andrew Chadwick is a PhD student working under supervisor Dr. Nicholas Coops at the University of British Columbia. His work is focused on the development of operational forest monitoring tools that leverage deep learning and remotely sensed data to increase the speed and scale with which conventional inventory data is collected.

SAR workshop 1

Single-polarized, Multi-polarized, and Polarimetric Radar Image Processing for Environmental Applications

Date: June 21, 2021 – 9:00 to 12:00 – Mountain Daylight Time (GMT-6)

Instructors: Brigitte Leblon and Armand LaRocque (University of New Brunswick)

Prof. Brigitte Leblon is a professor of remote sensing at the Faculty of Forestry and Environmental Management, University of New Brunswick (UNB), Canada. She holds an Agricultural Engineer degree from the Catholic University of Leuven (Belgium) and a Ph.D. in remote sensing of the École Supérieure Agronomique de Montpellier (France). She has engaged in geoinformatics and remote sensing research for more than twenty years and has published over 200 refereed publications and 100 other publications. Dr. Leblon pioneered the development of online courses in geoinformatics, including radar and polarimetric radar, which attract dozens of students from across Canada and around the world. She is associate editor of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Canadian Journal of Remote Sensing and is the President of the Canadian Remote Sensing Society and chair of its Atlantic Chapter.

Dr. Armand LaRocque is a research scientist in remote sensing and GIS at the Faculty of Forestry and Environmental Management, University of New Brunswick (UNB), Canada, as well as a part-time professor of geology, physical geography and geomatics at the Université de Moncton, Canada. He holds a Bachelor of Science degree (physical geography) as well as a Master of Science degree from the Université de Sherbrooke, Canada, and a Ph.D. degree in geography from the Université de Montréal, Canada. Dr. LaRocque is also a specialist in air photo interpretation, remote sensing, and GIS. He participated in one of the first research projects about the civil use of the SAR images in Canada, as part of the RADARSAT-1 mission. He has published more than 70 refereed publications and taught 23 different courses. He also co-authored with Prof. Leblon several online courses in geomatics.

SAR workshop 2 – SAR4Earth

SAR Data Analysis for Environmental Monitoring Using Advanced Machine Learning Tools

Date: June 21, 2021– 12:00 to 2:00, Mountain Daylight Time (GMT-6)

Instructor:

Masoud Mahdianpari received his Ph.D. in electrical engineering from the department of Engineering and Applied Science, Memorial University, St. John’s, NL, Canada, in 2019. He was an Ocean Frontier Institute (OFI) Postdoctoral Fellow with Memorial University and C-CORE, in 2019. He is currently a Remote Sensing Technical Lead with C-CORE and a Cross-Appointed Professor with the Faculty of Engineering and Applied Science, Memorial University. His research interests include remote sensing and image analysis, with a special focus on PolSAR image processing, multi-sensor data classification, machine learning, geo big data, and deep learning.

In 2016 and 2020, he won T. David Collett Best Industry Paper award organized by IEEE. He received the Research and Development Corporation Ocean Industries Student Research Awards, organized by Newfoundland industry and innovation centre, amongst more than 400 submissions in 2016. He also received The Com-Adv Devices, Inc. Scholarship for Innovation, Creativity, and Entrepreneurship from the Memorial University of Newfoundland in 2017. He received the Artificial Intelligence for Earth grant organized by Microsoft in 2018. In 2019, he received the graduate academic excellence award organized by Memorial University. He produced the first Canadian wetland inventory map at a spatial resolution of 10-m and the resulting product was awarded by the ESRI Canada 2020 map contest. He currently serves on the Editorial team of Remote Sensing Journal and Canadian Journal of Remote Sensing.