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Interpretation of land cover using spectral modulation pattern- an

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The document outlines Exercise 4-3 on Supervised Classification, focusing on the process of classifying land cover types using remotely sensed imagery. It explains the unique spectral response patterns of urban, forest, and water covers, and details the steps for supervised classification, including training site development, signature creation, and various classification techniques such as minimum distance to means, maximum likelihood, and parallelepiped classifiers. The exercise emphasizes the importance of accurate training sites and signatures for effective classification outcomes.

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What are spectral signature plots and what is their role in remote sensing?

1) Spectral signatures are the specific combination of reflected, absorbed and transmitted or emitted EMR by objects at varying wavelengths, which can uniquely identify an object. It is important because this forms the basis of image interpretation.

What is spectral in remote sensing?

Its an excellent tool for studying and identifying materials and defining material properties. Spectroscopy recognizes materials based on their unique spectral signatures by examining how light behaves in the target. Spectroscopy is used to identify, classify and quantify materials in various application fields.

What is a spectral signature in remote sensing?

A spectral signature is a plot of the amount of light energy reflected by an object throughout the range of wavelengths in the electromagnetic spectrum. The spectral signature of an object conveys useful information about its structural and chemical composition.

What is the spectral signature plot?

Spectral resolution describes the ability of a sensor to define fine wavelength intervals. The finer the spectral resolution, the narrower the wavelength range for a particular channel or band. Black and white film records wavelengths extending over much, or all of the visible portion of the electromagnetic spectrum.

What is the significance of spectral reflectance curve in remote sensing?

The reflectance characteristics of the surface features are represented using these curves. These curves give an insight into the spectral characteristics of different objects, hence used in the selection of a particular wavelength band for remote sensing data acquisition.

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What do you mean by the spectral signature of an object?

Spectral signature is the variation of reflectance or emittance of a material with respect to wavelengths (i.e., reflectance/emittance as a function of wavelength). The spectral signature of stars indicates the composition of the stellar atmosphere.

What are the different types of land cover?

Detailed Description. Level 1 LCMAP land cover classifications as outlined in LCMAP products: Developed, Cropland, Grass/Shrub, Tree Cover, Water, Wetland, Ice/Snow, and Barren.

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