Practice and Theory Intro for Satellite Remote Sensing

The importance of this subject can't be overstated. Fortunately, it is quite easy to ensure that coordinate reference system is aligned perfectly with all types of data under utilization, especially with a software like QGIS.
One caveat, though, you will not manually calculate projected coordinates from the geographic latitude/longitude pairs. There are simplified ways to do it, but it is not of any practical use. You should just know pros/cons of selecting a specific CRS.

We may have several use cases to obtain an image and manually georeference it, including mobile phone images of surfaces from above. QGIS Georeferencer tool is incredibly easy-to-use in this endeavor. We will have an example walk-through, and you will also be expected to do another example by yourself.

This video outlines main differences between the raster and vector data, and it is followed by some simple operations using them in QGIS environment in Lecture 6 and 7 for vectors and raster, respectively.

This video shows a fraction of what can be done with the vector data in QGIS environment. They are all relevant operations you will encounter in many digitizing works.

This video has raster clipping and raster calculator examples in QGIS.

Here we are discussing the main categories of data sources we may utilize in any kind of satellite remote sensing-related works.
Even though we say "satellite remote sensing", we will mostly need other ancillary (yes, that is the keyword) data, and several different types of field data, as well as different satellite sensors' data combined. In the more advanced courses in remote sensing, you will directly retrieve them and use/combine by yourself.

After having a discussion about different types of data sources, let's focus on where we can download/access satellite remote sensing data (with publicly available licenses where you can even use them commercially.)
I focused on several European Union and United States-based services, as they are the most-used ones.
There are more, but introducing ourselves to this topic is better done with the most-used ones, especially the Landsat, Terra/Aqua/Suomi and Sentinel series.

After seeing the plethora of available satellite data and products, it will be clear that one simply can't master them all. You may focus on one or two, but for the rest, you will rather utilize trusted analysis outputs, instead of analysis-ready data. This video gives you several of such examples, on natural resource management, disaster management, vegetation/surface elevation estimation and deforestation/fire alerts.