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Erdas Imagine NDVI (Vegetation) using Model Maker or Spatial Modeller for Landsat 8

Erdas Imagine NDVI (Vegetation) using Model Maker or Spatial Modeller for Landsat 8

This tutorial demonstrates how to calculate NDVI using ERDAS Imagine Model Maker or Spatial Modeller The Normalized Difference Vegetation Index (NDVI) is an index of plant “greenness” or photosynthetic activity, and is one of the most commonly used vegetation indices. NDVI = (NIR — RED)/(NIR + RED) NDVI values range from +1.0 to -1.0. Areas of barren rock, sand, or ...

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Erdas Imagine Satellite Image Layer Mosaic or Layer Stitch

Erdas Imagine Satellite Image Layer Mosaic or Layer Stitch

This tutorial demonstrates how to mosaic two adjacent satellite images to create single satellite image using ERDAS IMAGINE MosaicPro. When study area is large and satellite images collected along the same or adjacent satellite paths to cover the entire area, Image Mosaicing is required to seamlessly joining or stitching these images to generate a new raster dataset.

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Erdas Imagine NDBI (Built up) using Model Maker or Spatial Modeller for Landsat 8

Erdas Imagine NDBI (Built up) using Model Maker or Spatial Modeller for Landsat 8

This tutorial demonstrates how to calculate NDBI using ERDAS Imagine Model Maker or Spatial Modeller. The Normalized Difference Built upIndex (NDBI) is an index of built up or urban areas where there is typically a higher reflectance in the shortwave-infrared (SWIR) region, compared to the near-infrared (NIR) region. NDBI = (SWIR – NIR) / (SWIR + NIR ) NDBI values ...

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ERDAS VS ENVI: Which is The Best Remote Sensing Image Processing Software?

ERDAS-VS-ENVI-Which-is-The-Best-Remote-Sensing-Image-Processing-Software

ERDAS VS ENVI: Which is The Best Remote Sensing Image Processing Software? Remote sensing is a vital tool in disciplines such as geography, geology, oceanography, military intelligence and ecology. Analysts in disciplines related to earth sciences heavily rely on remote sensing. Since remote sensing is the process of detecting and monitoring the physical characteristics of an area, sensory equipment such ...

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Automatic Naming of Output Files in ERDAS IMAGINE Spatial Modeler 2016

Two Minute Tip | Automatic Naming of Output Files in ERDAS IMAGINE Spatial Modeler 2016

In this tip Emily explains how to set up a 2016 Spatial Model to automatically name your output files. This new capability in 2016 enables you to save time when running large volumes of data in batch. This model will add a suffix on the input filename and save it in the same directory.

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