Remote Sensing Archives - Page 4 of 4

Pleiades Satellite Products: © CNES 2011-15, Distribution Airbus DS. Courtesy of BlackBridge

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.

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.

Remote Sensing

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.

Nearest Neighbor Classification Technique in Object-Based Image Analysis

Nearest Neighbor Classification Guide in eCognition

Nearest neighbor classification is a powerful approach to classify segmented objects based on specific statistics and training samples chosen by the user.

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.

Remote Sensing Image Classification Techniques

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.

Supervised and Unsupervised Classification in Remote Sensing

Supervised classification creates training areas, signature file and classifies. Unsupervised classification generate clusters and assigns classes.