What is hyperspectral data in remote sensing?

Hyperspectral remote sensing is the science of acquiring digital imagery of earth materials in many narrow contiguous spectral bands. Hyperspectral remote sensing combines imaging and spectroscopy in a single system, which often includes large data sets and require new processing methods.

How do you get hyperspectral data?

You can check with research institutions and government organizations who have conducted hyperspectral measurements over your study area and request them for sharing the data. Sometimes if you have a convincing research proposal you may be lucky to get even commercial data for free.

What is hyperspectral technology?

Hyperspectral imaging (HSI) is a technique that analyzes a wide spectrum of light instead of just assigning primary colors (red, green, blue) to each pixel. Unlike other optical technologies that can only scan for a single color, HSI is able to distinguish the full color spectrum in each pixel.

What is Hyperion data?

Hyperion collects 220 unique spectral channels ranging from 0.357 to 2.576 micrometers with a 10-nm bandwidth. The instrument operates in a pushbroom fashion, with a spatial resolution of 30 meters for all bands. The standard scene width is 7.7 kilometers.

How does hyperspectral sensor work?

Hyperspectral sensors look at objects using a vast portion of the electromagnetic spectrum. Certain objects leave unique ‘fingerprints’ in the electromagnetic spectrum. Known as spectral signatures, these ‘fingerprints’ enable identification of the materials that make up a scanned object.

What is HSI data?

Hyperspectral imaging (HSI) is a technique that analyzes a wide spectrum of light instead of just assigning primary colors (red, green, blue) to each pixel. The light striking each pixel is broken down into many different spectral bands in order to provide more information on what is imaged.

What is hyphyperspectral remote sensing?

Hyperspectral remote sensing combines imaging and spectroscopy in a single system which often includes large data sets and require new processing methods.

What is hyperspectral data and why is it useful?

The data for a given pixel corresponds to a spectral reflectance for that given pixel. The distribution of the hyperspectral data in n-space can be used to estimate the number of spectral endmembers and their pure spectral signatures and to help understand the spectral characteristics of the materials which make up that signature.

What are the best hyperspectral data for unmixing?

Urban is one of the most widely used hyperspectral data used in the hyperspectral unmixing study. There are 307 x 307 pixels, each of which corresponds to a 2 x 2 m2area. In this image, there are 210 wavelengths ranging from 400 nm to 2500 nm, resulting in a spectral resolution of 10 nm.

What is the difference between hyphyperspectral and multispectral?

Hyperspectral data sets are generally composed of about 100 to 200 spectral bands of relatively narrow bandwidths (5-10 nm), whereas, multispectral data sets are usually composed of about 5 to 10 bands of relatively large bandwidths (70-400 nm).