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The Advanced Crop Health Index will self-adjust to any soil present in the area being analyzed to provide a more accurate result.
Facilitates finding changes between two images.
Can serve as an early warning for otherwise healthy appearing vegetation that does not have a high enough level of chlorophyll activity to support sustained health.
Delivers weather insights at the farm-field level. Compare seasonal forecasts, historical observations, and climatologies to help plan crop protection and management.
Cloud-based processing workflow enables robust photogrammetric processing for UAS data providers.
Analyzes growth stages of agriculture in near real-time. This app uses climatic data and satellite imagery to determine field-specific crop status.
The Greenness Index spans a larger range than the Vegetation Health Index, thereby providing the user with a more graduated scale for measurement.
Build your own custom dynamic visualization to gain insight from your location-based data with the M.App Analyzer Suite.
Monitor crop performance quickly and accurately from a user-friendly dashboard with data from remote-sensing platforms (satellite, aerial, or UAV).
Calculate Slope and Aspect.
User-friendly environment for monitoring your own crops over time. Manage your farm more precisely with earth observation images, saving money, time, and the environment.
Compare snow coverage over time and assess the freshwater volume after snow melt.
The Standard Crop Health Index has a built in adjustment to compensate for soil presence in the area being analyzed to provide a more accurate result.
The Tall Crop Health Index provides a more accurate result when soil is present and plants have a tall, slender profile.
Analyzes multispectral imagery and provides a result that can be used to determine vegetation health.