Mapping minerals with remote sensing was one of the main motivating reasons for creating the earliest multispectral satellite systems.
remote sensing
GIS Industry
GIS and Map Contests Roundup
Current map and GIS related competitions listed in order of the competition deadline.
Spatial Analysis
Monitoring Algal Blooms with Remote Sensing
Given the importance of knowing how blooms affect aquatic life, remote sensing techniques using a variety of available imagery have been developed.
Spatial Analysis
An Algorithm to More Accurately Classify Land Cover Using Landsat Imagery
Hankui Zhang, from South Dakota State University, has developed a new classification technique that used a large number of images from MODIS, which has 500-meter resolution, and Landsat (30-meter) resolution together.
GIS Data
Developing Damage Proxy Maps from Satellite Data
Satellite data is being used to create Damage Proxy Maps to assess changes in an area as the result of natural disasters like Hurricane Maria in Puerto Rico, and the wildfires that have hit Northern and Southern California.
GIS Learning
New Esri Book About Best Practices for Extracting Information from Imagery
A new book from Esri Press has been released: Imagery and GIS: Best Practices for Extracting Information from Imagery. The book introduces readers to using remote sensing and imagery and how to use that data with GIS.
GIS Learning
Seafloor Mapping Techniques
Today, seafloor mapping is essentially a form of remote sensing that uses similar concepts and applications to satellite-based systems, albeit adapted to the complex environment of the oceans.
GIS Industry
Will 2017 be Remembered as a Stellar Time for Earth Observation?
Joe Francica, Managing Director Location Intelligence Solutions with Pitney Bowes discusses the growth and direction of Earth Observation satellites.
GIS Data
Monitoring Air Pollution with Sentinel-5P
Sentinel-5p will be one of the first satellites that provides high resolution pollution monitoring and will provide a large data capture that enables daily and even hourly monitoring.
Spatial Analysis
Automated Land Cover Maps
Automating the generation of land cover maps from satellite imagery is becoming easier due to learning-based algorithms improving the understanding of signal data.