How to perform satellite imagery orthorectification using self-built / custom RPC and ENVI Software. Part 1. Orthorectification without GCPs.

Satellite Imagery Orthorectification usually uses interior/exterior orientation information for the photogrammetric collinear equation to works. Satellite Imagery vendors usually gave this information to the users in a form of a sequence of constant numbers written in a certain format and can be consumed by photogrammetry software. This information is called Rational Polynomial Coefficients (RPC) and usually provided along with other imagery metadata by satellite imagery companies. 

This RPC information became the backbone of orthorectification. Without this RPC information, orthorectification can't be done and can't be performed. Fortunately, some of the remote sensing software has capabilities to compute this RPC information from the Sensor Characteristics information and complemented by Ground Control Points measured in the field or more accurate imagery. 

I will explain how to do this later. In this article, I will show you how to perform orthorectification using custom or self-built RPC I previously explained, and with no supplemental GCP as the orthorectification references. You can check and watch the video tutorial below. 


This video actually is the first part of three parts videos about satellite imagery orthorectification using self-built RPC and ENVI Software. In the next video I will show you how to perform the same orthorectification workflow, but with additional GCP to refine the positional accuracy.  And for the third video, I will show you how to make custom / self-built RPC, so you still can perform orthorectification to your imagery even if you don't have the original RPC metadata of your imagery anymore.

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