OpenForest
by RolnickLab
A catalogue of open access forest datasets
AI summary
Forest dataset repository
A catalogue of forest monitoring datasets for machine learning and research purposes.
- stars
- 119
- forks
- 11
- watching
- 3
Similar projects
Found by comparing what the projects do, not just their names.
Tree ensemble library
A high-performance ensemble learning framework for decision trees in Go.
Forest analysis suite
A collection of data and software tools for training machine learning models to analyze and understand forests
Forest data processor
A platform for processing and analyzing large datasets related to forest monitoring and sustainable development
Datasets
A package providing easy access to forestry and land use datasets.
Forest scanner software
A package for automating the processing of point cloud data from terrestrial laser scanning or mobile laser scanning in forestry applications.
Deforestation risk modeler
A Python package to model and forecast deforestation risk in the tropics using spatial analysis and machine learning.
Tropical Forest Estimator
A dataset and toolset for estimating tropical forest biomass from drone and field data.
Random Forests
A Go implementation of random forest algorithms for machine learning and data analysis
Data analysis toolkit
A suite of tools to analyze and query the US Forest Inventory and Analysis (FIA) Database using R.
Forest analysis tool
An R package for analyzing tree-ring data to identify insect defoliators and disturbances in forests
Data Visualizer
A tool for visualizing forecast model output and observation data in a web portal.
Forest monitoring toolkit
Tools and algorithms for processing satellite images to detect deforestation and monitor forest health.
Random forest analysis
An in-depth analysis of random forests, focusing on their learning capabilities and interpretability.
Forest analysis toolkit
Tools and analyses for working with Hansen et al.'s Global Forest Change dataset
Tree analyzer
A collection of R functions for analyzing and processing remote sensing forest data to detect and segment individual trees.