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.
Tag: REMOTE SENSING
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.
NDVI is the most common index that analysts use in remote sensing. But how do you calculate it? What do NDVI values represent? How do Earth scientists use NDVI?
How would you like to wave your magic wand and all of a sudden find out how far everything is away from you? No magic wands necessary. This is how LiDAR (Light Detection and Ranging) works – minus the magic wand.
The platform offers the fastest engine to search and process satellite and areal imagery I’ve ever seen. On the top, it features a massive set of filters and algorithms to analyze the data at any scale. Now, all these features are available for free to the general public. The company recently launched a new, impressive web-based tool where anyone can access, analyze and download satellite images for free.
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.
The Landsat program is the longest-running enterprise for acquisition of satellite imagery of Earth. On July 23, 1972 the Earth Resources Technology Satellite was launched. This was eventually renamed to Landsat. The most recent, Landsat 8, was launched on February 11, 2013. The instruments on the Landsat satellites have acquired millions of images. The images, archived in the United States and at Landsat receiving stations around the world, are a unique resource for global change research and applications in agriculture, cartography, geology, forestry, urban and regional planning, surveillance and education, and can be viewed through the USGS ‘EarthExplorer’ website. Landsat 7 data has eight spectral bands with spatial resolutions ranging from 15 to 60 meters; the temporal resolution is 16 days. Landsat images are usually divided into scenes for easy downloading. Each Landsat scene is about 115 miles long and 115 miles wide (or 100 nautical miles long and 100 nautical miles wide, or 185 kilometers long and 185 kilometers wide).