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: ENVI Classic
In this lab for REM-617-01: Image Analysis & Information Extraction, we performed image manipulation and atmospheric correction using a Landsat ETM+ scene in ENVI. The assignment required stacking spectral bands, interpreting RGB composites, creating a Region of Interest (ROI), building a mask, computing statistics, and applying Dark Object Subtraction (DOS). The objective was to move from raw satellite data to
Intro Multispectral scanning allows for the acquisition, display, and interpretation of the thermal properties of the Earth’s surface. Many multispectral systems sense radiation not only in the visible and reflected infrared but also in the thermal infrared range (3 μm – 15 μm). Thermal remote sensing differs from optical imaging: it measures emitted energy rather than reflected sunlight. The boundary