A Python package for chemical engineering
Forest Vegetation Simulation (FVS) - Growth and Yield Modeling software
An algorithm that predicts yearly Aboveground Biomass for Finnish forests using satellite imagery. [NeurIPS 2023 Datasets & Benchmarks Track]
A unified interface for simulations of the Bio-Energetic model on food webs
Tools to calculate growth statistics for individual urban trees such as for estimating carbon storage.
This repository includes biomass estimation workflows using remote sensing data including capacity building materials.
(WORK IN PROGRESS) Derive estimated canopy heights from raw ICESat-2 ATL03 photon returns.
CSTR modeling approach for fluidized bed reactors
End-to-end geospatial data science workflow for predicting Above Ground Biomass density (t/ha)
STV-MNet: Locating and profiling city street trees using Baidu street view images for carbon storage evaluation
Small model to simulate biomass production on a global scale. Products are Gross Primary Production (GPP), Net Primary Production (NPP). It is based on a modified version of the Farquhar approach (Haxeltine and Prentice 1996, Farquhar et al. 1980). Where possible, it uses vectorization and parallelization and dynamically downloads latest av
Baseline methodologies to compute the carbon absorption of regeneration projects.
The Simple Biomass Comparison Model
Above ground biomass estimation of Finland's boreal forest using Sentinel time series data
CSTR and batch reactor modeling for biomass pyrolysis
Inspired by the Shell AI Hackathon 2023, this project uses machine learning to forecast biomass and a hybrid algorithm to optimize biofuel production costs, enhancing economic viability and logistical efficiency.
Placeholder repo for the CO2NEX MVP platform and dashboard development.
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