Remote sensing is a scientific method used to gather information about objects or areas without direct physical contact. It involves using sensors on satellites, airplanes, drones, or other technology platforms to capture data from a distance. This data can then be used to study and analyze various aspects of the Earth's surface, atmosphere, and oceans. Remote sensing is widely used in many fields, including geography, environmental science, agriculture, urban planning, and disaster management.
Please apply the search strategies outlined in Introduction to Finding GIS Data with the keywords below to help orchestrate a search to find datasets related to remote sensing data.
Keywords: satellite, radar, infrared, lidar, optical imagery
Optical Imagery - Captures what we can see with our eyes and a little bit more. They are helpful for studying things like land use, vegetation health, and urban areas.
Infrared Imagery - Captures heat radiation, showing us temperature patterns on the earth's surface.
Radar Imagery - Uses microwave signals to create images, even when it's cloudy or dark. It helps us study things like land cover, sea conditions, and changes in topography.
Lidar Imagery - Uses laser beams to measure the height of objects and create detailed elevation models. It is great for studying things like forests and land structure.
Provides access to data collected from Copernicus's Sentinel-1, Sentinel-2, Sentinel-3, and Sentinel-5P satellite missions.
Includes Landsat, radar, and satellite data of the entire globe. Information is provided by the U.S. Geological Survey.
Uses remote sensing data for detecting plastic in our oceans. Funded by the European Space Agency.