Foreco project which include efforts to define and analyse relationships between Forest structure and forest disturbance like Bark Beetle, storm and drought dynamics.
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Updated
Nov 22, 2022 - Python
Foreco project which include efforts to define and analyse relationships between Forest structure and forest disturbance like Bark Beetle, storm and drought dynamics.
Fine-tune and evaluate deep learning models built with PyTorch for semantic segmentation of trees from satellite imagery of forestry areas.
Codes and data for a published work "Improve the deep learning models in forestry based on explanations and expertise" (https://doi.org/10.3389/fpls.2022.902105)
QGIS plugin FIM - Forest Inventory and Monitoring
This project deals with the spatial development of protected areas in East Africa, specifically, it is based on the Mount Elgon region in Uganda, and, in the future, Kenya. It focuses predominantly on forest cover change as a biodiversity indicator and monitors forest cover development via landsat data development using a winnter-takes-all approach
A multi-objective approach to optimizing forwarder routing in cut-to-length forest harvesting operations. Distributed under the terms of the GNU Lesser General Public License version 3.0 or any later version.
`libcbm_runner` is a python package for automating simulations of forest growth and harvesting involving the European economy, carbon budgets and their interactions.
Polyculture forest modelling using Python and Django.
CNN-based and classical methods for uniquely identifying tree logs.
Code for my masters thesis, "Deep Learning for Detecting Trees in the Urban Environment from Lidar"
These are a collection of ArcGIS Script tools for planning timber sales, planning roads, and conducting remote surveys.
The Simple Biomass Comparison Model
Ignition pattern simulator for prescribed fire
A collection of modules to programmatically search for/download imagery from live cam feeds across the state of California.
GNSS Navigate and Save - QGIS-Plugin
Automatic dendrometry in terrestrial point clouds
Ein QGIS-Plugin zur Unterstützung der Waldbewirtschaftung für das Designen und die Optimierung von Seillinien-Layouts.
Python-based implementation of the EWMACD/EDYN vegetation change detection algorithm.
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