forestatrisk
Deforestation model
A Python package for modeling and forecasting deforestation risk in tropical regions using spatial analysis and machine learning techniques.
📦🐍 Python package to model and forecast the risk of deforestation
117 stars
7 watching
27 forks
Language: Python
last commit: 4 months ago
Linked from 1 awesome list
biodiversity-scenarioco2-emissionsdeforestationdeforestation-riskforecastingforest-cover-changeipbesipccland-use-changeprotected-areaspythonreddroadsspatial-analysisspatial-autocorrelationspatial-modellingtropical-forests
sacridini/awesome-geospatialRelated projects:
| Repository | Description | Stars |
|---|---|---|
| ghislainv/forestatrisk-tropics | This project models and forecasts tropical deforestation using spatial analysis and machine learning techniques | 29 |
| ghislainv/riskmapjnr | A tool to calculate risk of deforestation and forest degradation using the JNR methodology | 24 |
 skrisanski/fsct | Automates measurements from high-resolution forest point clouds | 149 |
 gyrrei/reforestree | A dataset and toolbox for estimating tropical forest biomass from drone and field data. | 72 |
 chguiterman/dfoliatr | An R package for analyzing tree-ring data to identify insect defoliators and disturbances in forests | 7 |
 projectdrawdown/solutions | An open-source software conversion of Project Drawdown's climate models into a Python-based framework for analyzing and predicting global warming solutions | 218 |
 ytarazona/forestoolboxrs | Tools and algorithms for processing satellite images to detect deforestation and monitor forest health. | 54 |
 predictiveecology/landr | Tools and utilities for simulating forest ecosystem dynamics based on ecological models | 17 |
 protontypes/continuous-reforestation | Automates tree planting in software development workflows using an API provided by DigitalHumani. | 183 |
 glouppe/phd-thesis | In-depth analysis of Random Forests algorithm to improve understanding and interpretability | 527 |
 forestgeo/fgeo | A set of R packages providing tools and data analysis capabilities for forest ecology and dynamics | 31 |
 jgomezdans/prosail | Bindings to two canopy reflectance models for Earth observation applications | 130 |
 earth-chris/elapid | Software package for species distribution modeling using geospatial data and machine learning algorithms | 54 |
 openclimatedata/pyhector | Provides a Python interface to a simple global climate model | 42 |
 azvoleff/gfcanalysis | Tools and analyses for working with Hansen et al.'s Global Forest Change dataset | 17 |