Remote sensing

Using Deep Learning to Extract Feature Data from Imagery

Using Deep Learning to Extract Feature Data from Imagery

Vector data collection is the most tedious task in a GIS workflow. Digitizing features from imagery or scanned maps is a manual process that is costly, requiring significant human resources to accomplish. Building footprint extraction from imagery provides an even more complex challenge due to shadows, tree overhang, and the complexity of roofs. Often times, this feature extraction work is ...

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Erdas Imagine MNDWI (Water) using Model Maker or Spatial Modeller for Landsat 8

Erdas Imagine MNDWI (Water) using Model Maker or Spatial Modeller for Landsat 8

This tutorial demonstrates how to calculate MNDWI using ERDAS Imagine Model Maker or Spatial Modeller The Modified Normalized Difference Water Index (MNDWI) is is an index of open water features and produce much better result in comparison to NDWI Indices. MNDWI = (GREEN— SWIR)/(GREEN + SWIR) This index maximizes reflectance of water by using green light wavelengths and minimizes low ...

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How to Download Specific Granules from ESA Sentinel 2 Images

How to Download Specific Granules from ESA Sentinel 2 Images

Sentinel-2 carries an innovative wide swath high-resolution multispectral imager with 13 spectral bands for a new perspective of our land and vegetation. The mission is based on a constellation of two identical satellites in the same orbit, 180° apart for optimal coverage and data delivery. Together they cover all Earth’s land surfaces, large islands, inland and coastal waters every five days ...

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Erdas Imagine Satellite Image Layer Stacking

Erdas Imagine Satellite Image Layer Stacking

This tutorial demonstrates how to layer stack or create a multi-band image from individual satellite images (band) using Erdas Imagine software and Landsat 8 Image. Downloaded Remote sensing satellite image is distributed in the form of band. In order to use the data in the typical manner in most geospatial software packages we need to combine the individual bands in ...

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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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