Optimise your forestry performance indicators and generate detailed reports from various data sources – easily and efficiently.

A modern management plan is more than just a static document.
With palos, you can plan the development of your forest based on up-to-date data, keep an eye on your economic and silvicultural objectives at all times, and flexibly adapt your plans to new circumstances.
This enables you to make well-informed decisions – both today and in the future.

The economic plan enables you to flexibly generate and skilfully combine operational data from various sources.
With dynamic stocktaking and flexible reporting, you can keep track of your forestry key performance indicators at all times.

Organise your forest in even greater detail!
By using sub-plots and stand layers, you can record different stand segments individually and obtain a more accurate data set for your management plan.
Record key area data such as soil types, location and damage. The integrated scoring system assesses data quality and ensures transparency. Track how your data changes over time and optimise your forest management with the palos platform.
The mix function makes it easy to combine different data sources and thus capitalise on their respective advantages. For example, the age at felling and the growth rate can be taken from a sample point and combined with the remaining key figures derived from the individual tree analysis.
Choose from three sources at the sub-plot level – yield tables, individual tree data and sample surveys. Customise your survey to improve the accuracy of your data.
Gain clear insights into data at the operational, district and sub-levels. View volumes, top elevations, mean elevations, growth rates and more – enabling you to manage your forestry operations with precision.
Expand your data set using intelligent interpolation techniques. Combine sample survey results with other sources to obtain more accurate projections for your forestry planning.
Carry out calculations for your entire hunting ground by combining sub-areas and stock strata as required.
All relevant yield tables for the respective country are already stored. You can also add your own yield tables on request.
In the future, permanent samples can be calculated to determine the tax rate.
Single tree derivation uses a neural network to recognize individual trees on aerial or satellite images and determines their location, height, and tree species. The position and height are already determined very precisely. The tree species can be easily differentiated in coniferous forests. In deciduous forests, more is needed.
Yes, in palos, it is easy to change the economic plan. Thinnings or utilisations can be entered anytime, and the key figures are updated automatically.
Yes, we are happy to take over existing economic plan data. Contact us to discuss the next steps together.
Yes, the Operat can be updated as of the reporting date.