GIS & REMOTE SENSING
Erdas Imagine Software is world-class Remote Sensing as well as Satellite image processing software. The ERDAS IMAGINE provides true value, consolidating remote sensing, photogrammetry, LIDAR analysis, basic vector analysis, and radar processing into a single product.
Single Class Classification using Erdas Imagine One class or single class Classification in impotent of many applications for GIS and Remote Sensing. For example estimation of total vegetation cover or build-up area for any particular region. You can also calculate the exactly amount of area. There are many applications for which we do not require […]
Image Post Processing In this Tutorial perform Post Image Processing/ Image Classification Vectorization in Erdas Imagine Software. For many specialized applications, classifying data that have been merged, spectrally merged or enhanced with principal components, image algebra, or other transformations can produce very specific and meaningful results. However, without understanding the data and the enhancements used,
False Color Composite (FCC) A false color satellite image is one in which the Red (R), Green (G), and Blue (B) values do not correspond to the true colors of red, green and blue. A standard False Color Composite (FCC) blue is assigned to green radiations (0.5 to 0.6 μm), green is assigned to red
Water Index Remote Sensing Water Remote Sensing studies the color, temperature, and quality of water through the observation of the spectrum of water leaving radiance. Satellite Remote Sensing or Earth Observation can be crucial in understanding the spatio-temporal dynamics of water quantity and quality, which can be used to simulate water resources management Data collected
Remote Sensing Soil Moisture Soil is basically a layer of unconsolidated material found at the Earth’s surface that has been influenced by the soil forming factors. The moisture content of soil depends on such factors as weather, type of land, and plants. The soil moisture content in the surface layers is an important parameter for