reneheim,Rene Heim,github

A Github Pages template for academic websites. This was forked (then detached) by Stuart Geiger from the Minimal Mistakes Jekyll Theme, which is © 2016 Michael Rose and released under the MIT License. See LICENSE.md.

Rene Heim's Projects

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

fun_extract_polyclass

A function to extract pixel values from raster images according to a user-defined polygon layer

hawkweed

Spectral classification of invasive Hawkweek (Hieracium aurantiacum) at Mt. Kosciuszko NP

mr_drone

3rd PhD chapter - Classification of aerial, multispectral imagery of myrtle rust infected vegetation

myrtlerust-lemonmyrtle-classification

Code to reproduce results of the article: Heim, R. H. J., Wright, I. J., Chang, H.-C., Carnegie, A. J., Pegg, G. S., Lancaster, E. K., Falster, D. S. and Oldeland, J. (2018), Detecting myrtle rust (Austropuccinia psidii) on lemon myrtle trees using spectral signatures and machine learning. Plant Pathol. doi:10.1111/ppa.12830

openplantpathology

Open Plant Pathology website

organization-geospatial

Introduction to Geospatial Concepts

proj_on_uav

This repository contains the code to reproduce the article (https://doi.org/10.1007/s11119-024-10133-0). The presented method allows to extract oblique and nadir viewing angles from UAV-mounted, multispectral snapshot cameras.

reneheim.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

researchcompendiumexample

A template for creating a research compendium for a website interface

rustindex

Code to reproduce results of the article: Heim, RHJ; Wright, IJ; Allen, AP; Geedicke, I and Oldeland, J 2018. Developing a spectral disease index for myrtle rust (Austropuccinia psidii), Plant Pathology, XX(xx), pp. XXX. DOI: 10.1111/ppa.12996.

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