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ADA “143 UNCLASSIFJEFFECT OF SHADOWS ON THE REFLECTANCE SPECTRA OF VEGETATION AID THEIR DIGIT. (U) AM ENGINEER TOPOGRAPHIC LAOS FORT SENIOR VR N 5 SATELLITE ET AL. 36 OCT 85 F/0 17/5 'IlEEEOEEEEEE
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To fill out spectral discrimination of vegetation, follow these steps:
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Acquire multispectral or hyperspectral imagery of the vegetation area.
03
Preprocess the imagery to remove noise, correct for atmospheric effects, and enhance features.
04
Define the spectral bands or wavelengths of interest for vegetation discrimination.
05
Extract the spectral signatures or reflectance values from the imagery for the defined bands.
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Apply classification algorithms or statistical techniques to discriminate different types of vegetation based on the spectral signatures.
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Validate and refine the results by comparing with ground truth data or expert knowledge.
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Generate maps or outputs to visualize and analyze the spectral discrimination of vegetation.

Who needs spectral discrimination of vegetation?

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Spectral discrimination of vegetation is needed by various individuals and organizations, including:
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- Environmental researchers and scientists studying vegetation dynamics and ecosystems.
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- Agricultural professionals, such as farmers or agronomists, for crop monitoring and management.
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- Remote sensing professionals and geographic information systems (GIS) specialists.
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- Ecologists and botanists studying plant species distribution and habitats.
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- Government agencies and organizations involved in land-use planning and natural resource management.
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Spectral discrimination of vegetation is the process of identifying and distinguishing different types of vegetation based on their unique spectral signatures.
Landowners, agricultural businesses, and government agencies are required to file spectral discrimination of vegetation.
Spectral discrimination of vegetation can be filled out by collecting spectral data using remote sensing technology and analyzing the data to classify vegetation types.
The purpose of spectral discrimination of vegetation is to monitor vegetation health, identify invasive species, and optimize agricultural practices.
The report must include spectral data, classification of vegetation types, and any relevant analysis or findings.
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