The BioMassters Challenge Starter Code

This repository serves as a starting solution to The BioMassters competition to estimate aboveground biomass from satellite imagery

https://github.com/matlab-deep-learning/Biomass-Estimation-Starter-Code

Version 1.0 (10,3 Mo)
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2 nov. 2022

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Biomass Estimation with Satellite Imagery: DrivenData™ Challenge Starter Code

View The BioMassters Challenge Starter Code on File Exchange

This repository serves as a starting solution to The Biomassters competition using MATLAB®. This example takes users through importing and preprocessing satellite imagery, creating an image-to-image regression model that predicts above-ground biomass, using this model to predict on a new dataset, and exporting the results.

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Setup

To Run in MATLAB® Online™, click here: Open in MATLAB Online

To Run in MATLAB Desktop:

  1. Open BiomassEstimationStarter2022.mlx in MATLAB or MATLAB Online. Note: To access this file you will have to download it or clone this repository
  2. Follow along with the instructions in the file.

MathWorks® Products (https://www.mathworks.com)

Please note that this example was developed using MATLAB release R2022a

License

The license is available in the License file within this repository

Copyright 2022 The MathWorks, Inc.

Citation pour cette source

MathWorks Student Competitions Team (2026). The BioMassters Challenge Starter Code (https://github.com/matlab-deep-learning/Biomass-Estimation-Starter-Code/releases/tag/v1.0), GitHub. Extrait(e) le .

Informations générales

Compatibilité avec les versions de MATLAB

  • Compatible avec toutes les versions

Plateformes compatibles

  • Windows
  • macOS
  • Linux
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Version Publié le Notes de version
1.0

Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.