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R-code to reproduce the study "Automated mapping of Portulacaria afra canopies for restoration monitoring with convolutional neural networks and heterogeneous unmanned aerial vehicle imagery"

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tejakattenborn/unet_spekboom

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unet_spekboom

R-code and data for the study Automated mapping of Portulacaria afra canopies for restoration monitoring with convolutional neural networks and heterogeneous unmanned aerial vehicle imagery.

The R-code can be accessed from this GitHub-repository. All data and products, including the trained model object and all ressources to reproduce the workflow and results, can be downloaded from here: DOI

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R-code to reproduce the study "Automated mapping of Portulacaria afra canopies for restoration monitoring with convolutional neural networks and heterogeneous unmanned aerial vehicle imagery"

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