This post submitted to the Accretionary Wedge # 48 hosted by Earth-like Planet. The theme is "Geoscience and Technology" and this post is on the use of multi and hyperspectral remote sensing for geological mapping.
Coinciding with the 40th anniversary of the Landsat series of remote sensing satellites, two maps of the surface distribution of several distinctive minerals covering a large portion of Afghanistan has been released by the USGS.
Source: USGS Pub A
These maps have been prepared by processing the reflectance properties of surface materials captured by sensors aboard a plane. Conventional satellite mapping like that prepared from Landsat data does the same thing but it generally captures less information. For example, most conventional commercial satellites will capture reflected energy in the visible and the near infra red portion of the spectrum in 4 - 7 bands.
This type of remote sensing of the reflected and emitted energy from surface material is termed multispectral sensing. Recently, new satellites have started capturing hyperspectral data. Here, the energy from the visible to infrared spectrum is collected at very narrow intervals or channels. For example, NASA's Hyperion sensor aboard the EO-1 satellite is capable of collecting spectral information in 220 spectral bands from between the 0.4 to 2.5 µm (micrometer) bandwidth with a 30-meter ground resolution.
Coinciding with the 40th anniversary of the Landsat series of remote sensing satellites, two maps of the surface distribution of several distinctive minerals covering a large portion of Afghanistan has been released by the USGS.
Source: USGS Pub A
These maps have been prepared by processing the reflectance properties of surface materials captured by sensors aboard a plane. Conventional satellite mapping like that prepared from Landsat data does the same thing but it generally captures less information. For example, most conventional commercial satellites will capture reflected energy in the visible and the near infra red portion of the spectrum in 4 - 7 bands.
This type of remote sensing of the reflected and emitted energy from surface material is termed multispectral sensing. Recently, new satellites have started capturing hyperspectral data. Here, the energy from the visible to infrared spectrum is collected at very narrow intervals or channels. For example, NASA's Hyperion sensor aboard the EO-1 satellite is capable of collecting spectral information in 220 spectral bands from between the 0.4 to 2.5 µm (micrometer) bandwidth with a 30-meter ground resolution.