Pleiades Satellite Constellation: Spot the Detail
The agile Pleiades satellite constellation is comprised of Pleiades 1A and 1B. They offer dynamic image acquisition at 50cm panchromatic & 2m multispectral.
Remote Sensing
Satellite Pour l’Observation de la Terre (SPOT)
SPOT-1 (Satellite Pour l’Observation de la Terre) was a French commercial satellite launched in 1986 initiated by the French Space Agency (CNES).
A Complete Guide to LiDAR: Light Detection and Ranging
How would you like to wave your magic wand and find out how far everything is away from you? No magic wands necessary. This is how LiDAR works.
Landsat Program: 40+ Years Archive of Earth
Imagine being able to rewind forty years back in time. For any given place and time. Then, see how much it’s changed. You can through the Landsat Program!
Passive vs Active Sensors in Remote Sensing
Active sensors illuminates its target and measures that reflected backscatter to the sensor. Passive sensors measure natural energy from the sun.
100 Earth Shattering Remote Sensing Applications & Uses
This list of earth-shattering remote sensing applications will change the way you feel about how this industry is changing our world and the way we think.
Multispectral vs Hyperspectral Imagery Explained
Multispectral vs Hyperspectral imagery. Hyperspectral contains hundreds of narrow bands. Multispectral usually consists of only 3 to 10 wider bands.
OBIA – Object-Based Image Analysis (GEOBIA)
Object-based Image Analysis (OBIA) segments an image by grouping pixels together into vector objects. Using these objects, you classify as land cover types.
![Image Classification Techniques in Remote Sensing [Infographic]](https://gisgeography.com/wp-content/uploads/2014/07/image-classification-techniques-remote-sensing-768x475.jpg)
Image Classification Techniques in Remote Sensing [Infographic]
We look at the digital image classification techniques in remote sensing (such as supervised, unsupervised & object-based) to extracts features of interest.
Spectral Signature Cheatsheet – Spectral Bands in Remote Sensing
Every object has its own unique composition. This is equivalent to it having its own spectral signature. Choose the spectral bands for ideal classification