This course is offered by PCI Geomatics, using Geomatica Desktop Image Processing and Analysis Software
Overview: Are you a student learning remote sensing, or does your organization make use of satellite imagery to generate image products or extract valuable information for actionable information? This course will teach you how to manipulate your optical satellite imagery and generate information from that imagery.
Who is the intended audience? This course is intended for university students or professionals who are new to geographic information systems and remote sensing. After this short course you’ll be able to manage both vector data and satellite imagery, and generate new raster layers or information using professional image processing and analysis software.
What materials will be used? Students will be able to work with a licensed version of Geomatica as well as sample data sets to follow along with the instructor. Students are expected to install Geomatica on their computer and work with a copy of the data which is provided.
How long will it take me to complete the course? The course materials (videos) run for a little less than an hour. You will likely play the videos several times and review certain steps. The expected time to complete the course is 2-3 hours.
This lecture will introduce you to the course, and you will have access to free imagery provided by USGS as well as access to a trial version of Geomatica. Using the free image (Landsat 8 image), you will be able to reproject and clip your imagery, fuse the multispectral and pachromatic image channels, and make use of tools to compute new raster layers from the imagery.
Understanding and using the appropriate coordinate system and projection for your satellite imagery is extremely important. In this first step we will begin by using Focus within Geomatica to view the coordinate system and projection of our image, then learn how to assign a projection, and complete the lesson by reprojecting our image. In addition, we will examine the different available methods for reprojecting data.
The use of both vector and raster data for image analysis and processing is not uncommon. Both data types are complimentary to each other, and allows users to better perform a number of different tasks. In this lesson, an overview of vector handling in Focus will be provided, and vector tools will be applied to draw a mask for a future application in the course.
One of the most commonly used operations for manipulating vector and raster data is clipping. Clipping generates a copy of your data where the spatial extents are defined by a clipping boundary that was previously set. In this lesson, an overview of the different approaches to data clipping will be provided, and the Landsat 8 imagery will be clipped using the vector mask created in the previous step.
In Remote Sensing, image processing functions are extensively applied to generate new raster layers or parameters related to the image. In the following lesson, an overview will be provided of the algorithm librarian tool that stores all the available image processing functions. Afterwards, an image fusion function will be applied to pansharpen the Landsat 8 image.
Raster arithmetic allows you to apply mathematical expressions on raster layers to compute valuable new raster layers or information, such as: spectral indices, topographical derivatives, and many more. This lesson provides an overview of the different tools available in Focus to perform raster arithmetic, and demonstrates how to calculate a vegetation index.
Image filters are often used to enhance or suppress different elements found in satellite imagery. The following lesson provides on overview of image filtering, and concludes by demonstrating how to apply image filters in Focus.
Transferring data between files and converting between different file formats are common tasks when conducting satellite image processing. This last lesson demonstrates how to perform those two tasks using Focus.
Jean-Sébastien Bouffard has worked in the field of Geomatics since 2008, and currently holds the position of Technical Solution Specialist at PCI Geomatics. Mr. Bouffard has been active in the field of Earth Observation in both academia and industry where he specializes in developing solutions for a variety of applications in different industries.
In 2014, Mr. Bouffard joined PCI Geomatics as an Application Specialist and Quality Assurance Specialist where he had a key role in testing PCI’s product line, and a key role in the design and development of new technology. In 2015, he took on the role of Technical Solution Specialist where he supports PCI’s Sales team, resellers, and many customers with a wide range of operations. In addition, he provides training on PCI’s product line to geospatial professionals worldwide, he has prepared and delivered web seminars, held workshops at industry tradeshows, prepared and delivered events, and works closely with the Research and Development department.
Specialties: Earth Observation, Remote Sensing, Photogrammetry, GIS, Solution Engineering, Python Coding, R Coding