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What is Tasseled Cap transformation used for?

What is Tasseled Cap transformation used for?

Tasseled cap transformation is a method to transform the spectral information of satellite data into spectral indicators. This index is especially used in the analysis of vegetation (phenological stages).

What is Tasseled Cap in remote sensing?

The Tasseled Cap Transformation in remote sensing is the conversion of the readings in a set of channels into composite values; i.e., the weighted sums of separate channel readings. One of these weighted sums measures roughly the brightness of each pixel in the scene.

How to Tasseled Cap transformation?

A tasseled-cap transform is performed by taking “linear combinations” of the original image bands – similar in concept to principal components analysis. So each tasseled-cap band is created by the sum of image band 1 times a constant plus image band 2 times a constant, etc…

What is Tasseled Cap analysis?

The Tasseled Cap (Kauth-Thomas) transformation is designed to analyze and map vegetation and urban development changes detected by various satellite sensor systems. It is known as the Tasseled Cap transformation due to the shape of the graphical distribution of data.

What is the purpose of the tasseled cap transformation?

Please help improve the article by providing more context for the reader. Tasseled cap transformation is a method to transform the spectral information of satellite data into spectral indicators. This index is especially used in the analysis of vegetation ( phenological stages).

How is the brightness of a tasseled cap calculated?

The Tasseled Cap transformation is a special case of principal components analysis which transforms the image data to a new coordinate system with a new set of orthogonal axes. The primary axis, called brightness, is statistically derived and is calculated as the weighted sum of reflectances of all spectral bands…

How is the tasseled cap function used in remote sensing?

In remote sensing analysis it is common to ratio and plot different combinations of multispectral bands to examine relationships between the bands. The Tasseled Cap transformation is a special case of principal components analysis which transforms the image data to a new coordinate system with a new set of orthogonal axes.

How do you calculate the tasseled cap bands?

Tasseled Cap Band 1 (brightness, a measurement value for the ground) Tasseled Cap Band 3 (wetness, a measured value for interactions of soil and canopy moisture) The algorithm for these three levels of information is a weighted sum of the Landsat bands (without the thermal channel 6), where each band is multiplied by the specific coefficient (s):