In this video, I show you how to move a remote sensing workflow between ENVI and ERDAS IMAGINE—specifically, how to take an ENVI-style dataset/project and open it correctly inside ERDAS using data interoperability. The main goal is to help you stop wasting time when you receive imagery in one software format but you need to process it in another. I focus on the practical side: what ERDAS needs to recognize an ENVI dataset, and the common things that usually break the import (like header/metadata expectations and band handling). I also break down what you should check when you’re doing ENVI-to-ERDAS work: the ENVI header idea (.hdr), how raster metadata is interpreted, and why coordinate system/spatial reference must be verified after you bring the data into ERDAS. The takeaway is simple: interoperability is possible, but you must validate the output—projection, pixel size, band order, and data type—before you continue with classification, mosaicking, or any analysis. If you’re a student or analyst jumping between ENVI and ERDAS, this workflow will save you stress and keep your processing consistent across platforms.