Acquiring information about a natural feature or phenomenon, such as the Earth's surface, without actually being in contact with it. USGS remote sensing is usually carried out with airborne or spaceborne sensors or cameras.
Online map system providing downloadable geospatial data, primarily NSDI framework themes (that is, general geographic data such as transportation, boundaries, hydrography, orthoimagery, land cover, and elevation).
Ordering and descriptive information for National Aeronautics and Space Administration (NASA) imagery acquired by the USGS from Gemini, Apollo, Skylab, International Space Station, Space Shuttle, and Shuttle Large Format Camera missions.
Links to Spectroscopy Lab projects to identify and map materials through spectroscopic remote sensing (imaging spectroscopy, hyperspectral imaging, imaging spectrometry, ultraspectral imaging, etc) on the Earth and in space.
This publication (Open-File Report 95-479) is a teacher's guide to two U.S. Geological Survey maps that show gravity and magnetic data in contour form superimposed on a LANDSAT satellite image of the San Francisco Bay area.
With NASA and JPL, USGS provides satellite images that anyone can use to see changes in the Earth's surface over time. This helps us study changes due to climate, human activities, or meteorological events.
The primary goal of U.S. Geological Survey (USGS) Natural Hazards Response is to ensure that the disaster response community has access to timely, accurate, and relevant geospatial products, imagery, and services during and after an emergency event.
We use moderate resolution satellite data to assess live fuel condition for estimating fire danger. Using 23 years of vegetation condition measurements, we are able to determine the relative greenness of wildland vegetation susceptible to burning.
The U.S. Geological Survey uses remote sensing to improve fire-management databases in the Everglades, gain insights into post-fire land-cover dynamics, and develop spatial and temporal fire-scar data for habitat and hydrologic modeling.