Forest Py Tools
Warning
This library is under development, none of the presented solutions are available for download.
📄 License
This library is licensed under the Creative Commons BY-NC 4.0.
✔️ Personal and educational use allowed
❌ Commercial use is prohibited without the author's explicit permission.
Author: Vinicius Richter
Process forest management end-to-end, easy as can be.
With this library, you'll be able to plan forest inventories and volumetrics as well as process all data stemming from your forest plantation. FP Tools brings together various forestry processing methodologies into a single library, providing ease in model selection and forest performance analysis.
This library was created as part of a master’s project by student Vinicius Richter, aiming to facilitate the processing of forest inventory information and bridge the gap between IT professionals and forest engineers.
FP Tools features
Getting Started
Learn how to take the first steps in using the library, from installation to efficiently leveraging forest processing.
Forest Inventory Planing (plots allocation on QGIS)
In this module, you will be able to plan forest inventories by allocating plots with our plugin for QGIS.
Forest Inventory planing
In this module, you will be able to plan forest inventories by allocating plots.
Hypsometric Relationship
In this module, you'll be able to perform the hypsometric relationship of a forest inventory using various equations as well as make use of artificial neural networks.
Tree Volume Planning
In this module, you will be able to plan tree volume measurements as part of forest inventories, selecting tools for estimating tree and stand volume.
Volumetry
In this module, you will be able to process tree volume data and fit volumetric and taper functions.
Assortments
In this module, you will be able to generate reports on the total volume and assortments produced by the forest.
Forest Report
In this module, you will be able to generate a forest report at different levels based on the previous processing performed.
Clutter Forecast
In this module, you will be able to estimate future forest production using clutter model.
ANN Forecast
In this module, you will be able to estimate future forest production using artificial neural networks.
Stratifier
In this module, you can use inventory data to find the ideal stratification for your planting.