Take a Look at the Latest Pictures

The images were captured by our prototype during a test flight. These images are suitable for agricultural analysis. They were taken using our 4-band multispectral camera system.
We are presenting just three images from different altitudes. The highest altitude reached during the flight was 27,450 m.



From an altitude of 1760 m

This image was taken of a high voltage distribution center.

In the near-infrared spectrum, we can better identify different types of soil.


Depending on the data, we can calculate the normalized vegetation index (NDVI).

Our algorithms can identify the shadows of the clouds.

We can provide false-colored infrared maps (not heat maps, we only calculate from the intensity of reflection in 700-900nm)

As with other analyses, we can provide false-colored images.

The GRVI analyzed images provide a detailed view of vegetation health by comparing the green and red bands of the camera system.

From an altitude of 17750 m

The picture shows 3 small villages north of the town Heves.

This is the NIR spectrum from the same area. The road network is clearly visible in the picture.

Depending on the data, we can calculate the normalized vegetation index (NDVI).

We can also identify the clouds themselves.


Depending on the cloud map, we can clarify the NDVI and other maps, to avoid making false analyses.

As with other analyses, we can provide false-colored images.

The GRVI analyzed images provide a detailed view of vegetation health by comparing the green and red bands of the camera system.

From an altitude of 27450 m

This picture shows us an incredible view of Lake Tisza.

The infrared image clearly shows where the water is.


Depending on the data, we can calculate the normalized vegetation index (NDVI).

We can also identify the clouds themselves.


Depending on the cloud map, we can clarify the NDVI and other maps, to avoid making false analyses.

As with other analyses, we can provide false-colored images.

The GRVI analyzed images provide a detailed view of vegetation health by comparing the green and red bands of the camera system.