When it comes to satellite imagery, GeoEye-1 is one of the newer and more sophisticated options available. The high-resolution satellite imagery it produces is extremely useful for a variety of purposes, including land surveys, urban planning, and environmental monitoring. While Google is heavily involved in the project, it’s not the only company that’s benefiting from it. Read on to learn more about the benefits of GeoEye-1 satellite imagery.
Multispectral imagery
In 2008, the United States launched the GeoEye-1 satellite. This high-resolution Earth observation satellite was the first commercial Earth-imaging satellite with a resolution of 0.41 m. It has a remarkably high revisit time of one to three days depending on latitude. This satellite was also the first commercial Earth-imaging satellite to capture multispectral imagery. During its mission, the satellite collected images in panchromatic and multispectral modes.
The first version of GeoEye-1 was originally scheduled to launch in April 2008, but a U.S. government mission took its slot. GeoEye was then rescheduled for launch on 22 August 2008 from Vandenberg Air Force Base. The launch was postponed until the next year because of the nonavailability of the Big Crow telemetry relay aircraft, which was a critical part of the launch. Hurricane Hanna further delayed the launch.
Spatial detail
Spatial detail of GeoEye-1 images can be used for a number of purposes, including air and marine transportation, defense and disaster response, oil exploration, and mining. The imagery has been analyzed using radiometric and geometric analysis. The spatial resolution, or sharpness, of the imagery, can be determined by evaluating its noise levels and the Modulation Transfer Function (MTF), a measure of the quality of the image.
This study was based on the geoEye-1 satellite image acquired on 18 October 2014 with a spatial resolution of two meters. The image had four multispectral bands, including green and blue. The NIR band was used to perform automatic shoreline extraction. Blue and green bands were used to perform SDB mapping, and in-situ bathymetry was acquired in December 2013.
Color reproduction
The next month will see the launch of a commercial satellite company’s GeoEye-1 satellite. This satellite will provide color images, although the U.S. government doesn’t permit the public release of these images. This satellite will deliver images at different resolutions, from the highest for military applications to the lowest for commercial and research use. These lower-resolution images will be available on online services like Google Earth.
The GeoEye-1 satellite has a resolution of 0.41 meters. The data it provides is in UTM coordinates in the Zone 50 N and WGS84 datum. It provides images in two modes – a panchromatic and multispectral sensor. Panchromatic imagery has a spatial resolution of 0.41 meters, while the Multispectral version includes data in four spectral bands: red, blue, and NIR. The new nadir GSD is 46 cm for panchromatic data, compared to 41cm before. The GeoEye-1 satellite is expected to remain in orbit for at least seven years. Commercial satellite imagery has rapidly grown in popularity since the 1990s. Previously, all satellite imagery was produced by governments, but President Bill Clinton declassified some of the data in 1994. Today, the military and intelligence agencies
Bathymetry
The spatial resolution of GeoEye-1 satellite imagery allows the extraction of shallow water and shorelines from these images. Unlike in-situ bathymetry, the information can be processed and stored in a variety of formats. Among these formats are BASE, MBT, and SDB. Bathymetry can be calculated with high precision using the data obtained with BASE and MBT tools.
For shallow water bathymetry, the GeoEye-1 satellite image was analyzed using the log-band ratio method, an empirical satellite-derived bathymetry method. The method is based on two spectral bands, the blue, and the green. These bands are used to extract the depth of the seabed, with a logarithmic scale. The image was acquired over an ocean that was cloud-free and calm, enabling the calculation of seabed depth.