Basic Raster and Vector Operations with PCI Geomatics
- How to manage data layers and reproject data
Apply image processing functions to generate new raster layers
How to use and create vector layers
- Perform raster arithmetic to produce valuable new raster layers or information
- Students only require a basic understanding of geographic information systems and remote sensing concepts
- All required software and data is provided, including access to a trial version of Geomatica as well as sample optical satellite imagery
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.
- If you have a requirement to make use of optical satellite imagery and you'd like to improve the way in which you manipulate and process satellite imagery, this course is for you!
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.