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Canadian Urban Environmental Health Research Consortium CANE Metadata NEVI Landsat 20180125 DATA SET INFORMATION Data Set Title: Normalized Difference Vegetation Index (NEVI) Landsat Time Series Description:
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How to fill out normalized difference vegetation index

01
Calculate the reflectance values for red and near-infrared bands from the satellite imagery.
02
Subtract the red band value from the near-infrared band value.
03
Divide the result by the sum of the red band value and the near-infrared band value.

Who needs normalized difference vegetation index?

01
Researchers studying vegetation health and dynamics.
02
Agricultural professionals monitoring crop growth and health.
03
Environmental scientists assessing ecosystem changes.
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Normalized Difference Vegetation Index (NDVI) is a remote sensing technique that uses the difference between near-infrared and red light reflectance to indicate the amount and health of vegetation.
Farmers, land managers, researchers, and government agencies who need to monitor vegetation growth and health are typically required to file NDVI.
NDVI is calculated using the formula: (NIR - Red) / (NIR + Red), where NIR is near-infrared reflectance and Red is red light reflectance.
The purpose of NDVI is to assess vegetation health, monitor changes over time, and predict agricultural productivity.
NDVI reports typically include satellite images or drone footage showing vegetation cover, health, and changes over time.
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