Image classification is the process of assigning land cover classes to pixels. Unsupervised and supervised image classification techniques are the two most common approaches. However, object-based classification has been used more lately because it’s useful for high-resolution data. What are some of the differences between supervised and unsupervised classification? Find out more by reading.
If you want the sharpest satellite imagery in the world, then you should harness the power of DigitalGlobe satellite imagery.
To give you a ballpark figure: Each pixel in a Worldview-3 image is about the size of home plate on a baseball diamond. That’s about 31 cm. So instead of being far-sighted, you can see a better and clearer world with some of DigitalGlobe’s products.
The multi-billion dollar a year activities linking aerial imagery with geospatial technologies expands more rapidly than you can blink an eye. Government and commercial contracts dominate the growth, especially for military, security, agriculture, and forestry applications.
The USGS Earth Explorer is a similar tool to the USGS Global Visualization Viewer (GloVis) in that users search catalogs of satellite and aerial imagery. The USGS Earth Explorer is the new and improved version.
Satellite Imagery provides much essential and critical information for monitoring many applications such as image fusion, change detection, and land cover classification. Remote sensing is an important technique to obtain information relating to the Earth’s resources and environment.