Agricultural Indices
Research-grade data
Data files built for statistical analysis (means, SDs, frequency distributions)
All indices are “normalized” by measuring sun energy for each measurement, taking into account sun angle and cloud cover. This allows “apples-to-apples” comparison throughout the season, and season-to-season.
We are always available to help you or your consultant interpret and manipulate your data to suit your individual requirements
Data files built for statistical analysis (means, SDs, frequency distributions)
All indices are “normalized” by measuring sun energy for each measurement, taking into account sun angle and cloud cover. This allows “apples-to-apples” comparison throughout the season, and season-to-season.
We are always available to help you or your consultant interpret and manipulate your data to suit your individual requirements
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OSAVI (Early season)
Maps variability in canopy density and is not sensitive to changing soil brightness |
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MSAVI2 (Early season)
Similar to OSAVI but optimized for rangeland |
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NDVI (Mid season)
Reveals variability in plant vigor and biomass, often not visible in standard RGB color imagery |
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NDRE (Late season)
Photosynthesis levels, optimize harvest times based on transitions of photosynthesis activity |
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Orthomosaic
Similar to a satellite photo but much higher resolution, zoomable, georectified |
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GNDVI (Secondary)
Used to determine water and nitrogen uptake into the crop canopy |
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