high-resolution satellite image on EOSDA Crop Monitoring
  • EOSDA Crop Monitoring

High-Resolution Images On EOSDA Crop Monitoring

High-resolution images are available on EOSDA Crop Monitoring, an online satellite-driven platform for precision agriculture by EOS Data Analytics (EOSDA). Daily revisit allows for faster and more efficient decision-making.

Subscribed users can get access to the high-resolution images by purchasing this add-on in the EOSDA Crop Monitoring marketplace.

The module provides access to daily high-resolution images of fields, allowing agronomists to improve the quality of their farming decisions, spend less money, and get more yields as a result.

  • Users can considerably save time and reduce expenditures by staying aware of daily changes in the state of their crops. This will allow for an elimination of risks before they develop into full-blown issues with the crops.
  • The module can also be used to improve scouting operations by targeting the efforts of drones and scouts, pointing them to the right location at the right time thanks to a higher accuracy of satellite image analysis. Now the field owners can send scouts where and when they are really needed.
  • The add-on will increase the precision of data obtained about the state of crops and provide a much more detailed and accurate picture of what is really happening in the fields.

EOSDA Crop Monitoring

Access high-resolution satellite images to ensure effective fields management!

To illustrate the difference between medium-quality and high-resolution imagery, we’ve placed them side by side.

high and regular resolution side by side
High and regular resolution side by side.

Images are captured every day at a resolution of 3 meters or 9.8 feet per pixel. Some images can be obscured by clouds due to unfavorable weather conditions.

The company team is hoping to make the lives of farmers and other agronomists better by providing them with the more accurate EOSDA Crop Monitoring tools. By 2025, EOSDA will launch seven optical EOS SAT satellites into a low Earth orbit. The satellite imaging constellation will use 11 agri-related bands, making it the first-ever agriculture-oriented satellite monitoring project.

Stay tuned for more updates.

About the author:

Peter Kogut Scientist at EOS Data Analytics

Petro Kogut has a PhD in Physics and Mathematics (1998). He successfully defended two dissertations: “Stability and Optimal Stabilization of Neutral Integro-Differential Equations” (1989) and “Stability and Optimal Stabilization of Neutral Integro-Differential Equations, Homogenization of Optimal Control Problems for Systems with Distributed Parameters” (1998).

He is the author of multiple scientific publications, including “Variational Model with Nonstandard Growth Conditions for Restoration of Satellite Optical Images via Their Co-Registration with Synthetic Aperture Radar”.

Dr. Kogut has received two grants: International Fund of Fundamental Investigations - “Vidrodzhennia” (1996) and Ukrainian Fund of Fundamental Investigations (1997).

In 1996, he became the Soros Associated Professor. A year later, he received The First Prize of National Academy of Science of Ukraine for his research in homogenization theory of optimal control problems.

Dr. Kogut has received an honorary decoration, “Excellence in Education of Ukraine” (2014) and the medal of A. M. Makarov, “For significant merits” (2019).

Since 2014, Petro has been the head of the department of differential equations in the Oles Honchar Dnipro National University.

Some of Dr. Kogut’s hobbies include fishing and woodworking.

Dr. Kogut provides scientific advice to EOS Data Analytics.

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