A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. Deep Learning models for wildfire modeling, e.g. danger forecasting, burned area prediction, etc

Trait-Driven Models of Ecology and Evolution 🌲

[Meta R-package on CRAN] Analyse forest diversity and dynamics

Detection and analysis of insect defoliators in tree rings

Code, data and manuscript for "Fernández-Pascual (2021) SylvanSeeds, a seed germination database for temperate deciduous forests. Journal of Vegetation Science." https://doi.org/10.1111/jvs.12960

A Deep Learning Framework for Quantifying Collective Forest Intelligence Through Multi-Variable Temporal-Spatial Analysis

Sample Google Earth Engine (GEE) scripts for forest monitoring for Belize, Central America

We estimate the potential carbon store of different ecosystems of the world

A quantum puzzle and adventure into Native Language decolonization; features an introduction to the master quantum plane and the truthful history of indigenous peoples on Turtle Island. Not G-rated.

Compute arboricity and forest decomposition of graphs.

Authors' implementation of the article "DeadWood: Including Disturbance and Decay in the Depiction of Digital Nature", TOG and SIGGRAPH 2024

This repository showcases our team of five's comprehensive semester-long project on wildfire impact assessment and risk mapping in Los Angeles. Our efforts successfully achieved the highest grade. It comprises project deliverables, including reports, a research paper submitted for publication, presentations (PPTs), and posters.

Virginia Forests, Woods, Timber, and other agricultural lands. GIS data converted to jsons, pdfs liberated to csv, and images when applicable

Forest(ry) ontology

Translation of the Correspondence entitled "Amazonian forest degradation must be incorporated into the COP26 agenda" published in Nature Geoscience. DOI: 10.1038/s41561-021-00823-z

Code for Sales et al 2021

This repository provides the code and data to model fire and drought effects in the Mediterranean forests, as in the paper Baudena et al 2020, New Phytologist

Forest monitoring, reporting, and verification (MRV) materials

EDA and ML Models for Kaggle Competitions

Product Landing Page/Save the Forests