Submerged Aquatic Vegetation (SAV) is vitally important to the Chesapeake Bay, serving as one of the primary food sources for the organisms that inhabit the bay.
How Satellite Technology Is Helping End Illegal Fishing in Our Oceans
Satellite tracking technology aids analysts to prevent illegal fishing.
NASA’s CYGNSS Constellation of Hurricane Remote Sensing Satellites
New European Satellites To Give More Detailed Views of Earth
Saharan Dust and Wildfire Smoke: An Evaluation of Enhancing AirNow with NASA Satellite Data
We present two case studies as a way to evaluate the performance of the AirNow Satellite Data Processor (ASDP): a Saharan dust transport event and a wildfire smoke event.
New Sentinel Satellite Launch by the European Space Agency
The European Space Agency is launching Sentinel-1, the first of five satellite missions in the Copernicus program. The satellite’s advanced radar system will allow day and night data collections, and will expand the pool of Earth observation information available to policymakers and scientists.
SkyTruth Founder John Amos on Using Satellites to Expose Environmental Misdeeds
When the White House’s National Science and Technology Council issued its latest report on Earth observation in April, one of the goals it set out was to improve user engagement. According to the National Strategy for Civil Earth Observations, ÛÏMechanisms for engaging user communities will be developed to cultivate wider application and use of Earth observations.Û
To Flare or not to Flare: Satellite Assessment of Gas Flaring and Climate Relationships
Team Location: John C. Stennis Space Center, Stennis, Mississippi Authors: Amber Jones (William Carey University) Haley Feather (University of Southern Mississippi) Stephanie McCracken (University of Southern Mississippi) Timothy Sutherlin (University of Southern Mississippi) Mentors/Advisers: Joseph Spruce (Computer Sciences Corp., Stennis Space Center) Ross Reahard (DEVELOP Stennis Center Lead) Jason Jones (DEVELOP Stennis Assistant Center Lead) Past/Other Contributors: SSC Spring 2013 … Read More
Improving Crop Yield Forecasting in Uruguay using Landsat Imagery
By detecting various crops at early stages in the planting season and understanding how pixels evolve over the planting season, crop yield forecasts can be improved and provided earlier. This study uses the Satellite Automatic Image Mapper to classify Landsat imagery of crop fields for the 2011 and 2012 planting seasons.