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.
Soil Moisture Index in Remote Sensing using Erdas Imagine The Soil Moisture Index (SMI) is a remote sensing-derived indicator used to estimate the moisture content in the soil. It helps monitor drought, assess crop conditions, and manage water resources. Soil is basically a layer of unconsolidated material found at the Earth’s surface that has been […]
Map Composition in Erdas Imagine Map Composition One of 3 types of views for displaying and processing data in the Erdas Imagine Ribbon workspace. The map view is designed for creating cartographic quality maps and presentation graphics, usually output to a hardcopy device and image file or a GeoPDF file. Prepare Map Compose You must
Image Fusion For Remote Sensing using Erdas Imagine What is Image Fusion Image fusion or Resolution marge is a process of combining two images to yield that provides the best characteristics of both Sensors. Types of Image Fusion Fusion Level Description Examples Pixel-Level Fusion Combines raw pixels from input images PAN + MS fusion Feature-Level
GeoMedia Software Tutorial What is GeoMedia? GeoMedia is a powerful, flexible and dynamic GIS Management Solution application. It’s analyze Data, visualize location and gain other information from your data. Also It is a single unified map view for efficient processing, analysis, presentation, and sharing data, and provides simultaneous access to Geospatial Data. GeoMedia’s functionality makes it ideal for extracting
Change Detection in Remote Sensing using Erdas Imagine In this Tutorial, Learn Change Detection in Remote Sensing using Erdas Imagine Software. What is Change Detection? Change Detection is a process that measures a particular area that has changed between two or more periods. It has been widely used to evaluate shifting agriculture, deforestation, urban growth,