agriculture.

leverage precision agriculture for actionable in-season insights and informed seasonal monitoring.

Multispectral crop surveys help assess plant health throughout the growing season and can be completed in minutes. These surveys enable early stress detection, precise nutrient management, yield prediction, pest and disease management, and irrigation management.

CardinalAero offers crop surveys throughout Indiana, including drone multispectral imagery capture, image processing, and crop health index generation.

Ndvi.

Normalized Difference Vegetation Index (NDVI) is the most common index for monitoring mid-season crop health and biomass density. NDVI measures the difference between Near-Infrared and Red light absorption and reflection, and can be used to assess plant vigor and estimate grain yield.

False color multispectral drone imagery of an agricultural field of row crops.

ndre.

Normalized Difference Red Edge (NDRE) can provide mid- to late-season insights when NDVI imagery has become saturated. This index measures the difference between Near-Infrared and Red Edge light absorption and reflection to assess chlorophyll content and nitrogen deficiencies.

False color multispectral drone imagery of an agricultural field of row crops.

red edge chlorophyll index.

Chlorophyll Index provides an estimate of chlorophyll content and is an indicator of photosynthetic activity. This index can assist in monitoring overall plant health when combined with NDVI or NDRE.

False color multispectral drone imagery of an agricultural field of row crops.

surface model.

Surface models can be used to evaluate the adequacy of existing drainage or identify additional irrigation needs.

False color drone imagery representing a surface model of an agricultural field of row crops.

OSAVI.

Optimized Soil Adjusted Vegetation Index (OSAVI) reduces soil brightness interference in sparsely vegetated areas. OSAVI has most utility early in the growing season when replanting is still possible.

False color multispectral drone imagery of an agricultural field of row crops.

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Aerial view of a snowy landscape with a drone flying above, surrounded by trees. A road with parked vehicles is visible near the edge of the forest.