Using ENVI Classic, Landsat bands, K-Means, and ISODATA to turn a satellite image into a land-cover map In this lab, we used unsupervised image classification to separate land-cover types around Cañon City. The process started with a false-color composite, moved through spectral signatures, and then compared K-Means and ISODATA classification results. The short version: the computer can group pixels, but
Tag: spectral signature
Introduction: From Pixels to the Real World Every satellite image tells a story, but that story only makes sense when you can trace each pixel back to the ground. In remote sensing, this connection between imagery and reality is called ground truthing. It ensures that what we interpret from orbit reflects what truly exists on Earth. As Campbell and Wynne