Planet Imagery (daily, 3m resolution) for Management Zones Creation

Access to Planet imagery became simpler, faster, and more affordable with GeoPard Agriculture. Since August 2022 GeoPard has released the capabilities to search and analyze only requested Planet images from the user’s preferred date range.

So a GeoPard user requests only preferred Planet images and can use them in GeoPard analytical toolbox.

Planet images extend Sentinel and Landsat coverages (provided by default) and can be mixed with other data layers (harvesting/spraying/seeding machinery datasets, topography profile) via existing Multi-Layer, Multi-Year, and Equation tools

Planet is the largest earth observation satellite network delivering a near-daily global dataset and enables its high-resolution and high-frequency satellite imagery data.

Management Zones Based on Planet Scope (3.5m resolution) imagery.

Read more about GeoPard / Planet Partnership.

Equation-based Analytics in Precision Agriculture

Equation-based analytics module has been released by the GeoPard team and is part of the core of the Platform.

Predefined GeoPard formulas (catalog of 50 templates and growing) are the next big step for the platform to empower farmers, agronomists and spatial data analytics with the solution to derive actionable analytics for each square meter.

Formulas could be configured to be executed automatically for any field.

Equations are based on multi-year independent agronomic university and industry research.

Potassium Removal based on Yield data

Use Cases (see examples below):

  • Nitrogen Uptake in absolute numbers using Yield and Protein data
  • Nitrogen Use Efficiency (NUE) and Excess calculations with Yield and Protein data layers
  • Lime recommendations based on pH data from soil sampling or soil scanners
  • Sub-field (zones or pixel-level ROI maps)
  • Micro and Macro nutrients fertilization recommendations based on Soil sampling, Field Potential, Topography, and Yield data
  • Carbon modeling
  • Change detection and alerting (calculate difference between Sentinel-2, Landsat8-9 or Planet imagery)
  • Soil and grain moisture modeling
  • Calculation of dry yield out of wet yield datasets
  • Target Rx vs As-applied maps difference calculation

Potassium Recommendations based on Two Yield Targets (Productivity Zones)

Fertilizer: Recommendations Guide (South Dakota State University): Potassium / Corn. Review and Revision: Jason Clark | Assistant Professor & SDSU Extension Soil Fertility Specialist

Potassium Use Efficiency in Kg/Ha

Nitrogen Use Efficiency in percentage. Calculation is based on Yield, Protein and Grain Moisture data layers

Nitrogen: Target Rx vs As-Applied

Chlorophyll difference between two satellite images

A user of GeoPard can adjust existing and create their private formulas based on Imagery, Soil, Yield, Topography, or any other data layers GeoPard supports. 

Examples of the template GeoPard Equations

Formula-based analytics helps farmers, agronomists, and data scientists to automate their workflows and make decisions based on multiple data and scientific research to enable easier implementation of sustainable and precision agriculture.

GeoPard Field Potential maps vs Yield data

GeoPard Field Potential maps very often look exactly like yield data.

We create them using multi-layer analytics of historical information, topography, and bare soil analysis.

The process of such synthetic Yield maps is automated (and patented) and it takes about 1 minute for any field in the world to generate it.

Can be used as the basis for:

Vegetation Indices and Chlorophyll Content

GeoPard extends the family of supported chlorophyll-linked vegetation indices with 
– Canopy Chlorophyll Content Index (CCCI)
– Modified Chlorophyll Absorption Ratio Index (MCARI)
– Transformed Chlorophyll Absorption in Reflectance Index (TCARI)
– ratio MCARI/OSAVI
– ratio TCARI/OSAVI

They help to understand the current crop development stage including 
– identification of the areas with nutrient demand, 
– estimation of the nitrogen removal, 
– potential yield evaluation,

And the insights are used for precise Nitrogen Variable Rate Application maps creation.

Read more about:

Which index is the best to use in the precisionAg

GeoPard vegetation indices

Canopy Chlorophyll Content Index (CCCI) vs Modified Chlorophyll Absorption Ratio Index (MCARI) vs Transformed Chlorophyll Absorption in Reflectance Index (TCARI) vs Ratio MCARI/OSAVI

Normalized Difference Moisture Index

The number of vegetation indices supported by GeoPard is continuously growing.

GeoPard team introduces the Normalized Difference Moisture Index (NDMI). The index determines vegetation water content. It is useful for finding the spots with existing water stress in plants

The difference of the vegetation relative water content between two satellite images (Sentinel-2 constellation in this case)
The difference of the vegetation relative water content between two satellite images (Sentinel-2 constellation in this case)


Lower NDMI values mark the spots where the plants are under stress from insufficient moisture.
On the other side, lower NDMI values following the vegetation peak highlight the spots that are becoming ready for harvesting first.

In the following screenshots, you can find the NDMI zones generated based on June 19 (vegetation peak) and July 6 satellite images and the equation map representing the NDMI difference.

Normalized Difference Moisture Index calculated on top of Planet / Sentinel-2 / Landsat image
Normalized Difference Moisture Index calculated on top of Planet / Sentinel-2 / Landsat image

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