In most introductory courses and lessons for Remote Sensing, the mechanics of the Remote Sensing system are explained, along with the basic mathematics and algorithms of image processing for satellite imagery. However, we tend to overlook the image metadata parameters, and sometimes, especially for Very High Resolution Imagery, they significantly affect the image processing workflows or can be even used to directly yield useful information from the images!
Metadata, as most of you know, means “data for the data”. And if satellite images are our data, then we refer to the data that describe these images. What time were they taken? What was the sensor’s geometry at that time? Where exactly, in the Earth, does the image refer to? These kinds of questions are answered by the metadata. In this tutorial, we will refer to three main types of parameters: projection info, solar angles and sensor angles. The meaning of these parameters (satellite image metadata) is the same for any type of sensor (passive or active), however for the time being, we will refer only to applications of optical remote sensing.
Read the full article here:
https://www.geo.university/pages/blog?p=satellite-image-metadata-applications-in-remote-sensing
