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: satellite imagery
Introduction When the Earth decides to shift, slide, and tumble, we get what the USGS politely calls a “landslide”—a down-slope movement of rock, debris, or earth. Triggered by gravity and exacerbated by factors like rainfall, earthquakes, and yes, human meddling, landslides are the ultimate uninvited guests in California’s rugged terrain. One major culprit behind increased landslide risks? Wildfires. And in