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_quarto.yml
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_quarto.yml
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project:
type: book
output-dir: docs
book:
title: Remote Sensing of Foliar Nitrogen in Californian Almonds
subtitle: Master's thesis
date: 2023-04-28
date-format: long
author:
- name: Damian Oswald
url: https://damianoswald.com
affiliation: Swiss Federal Institute of Technology, Zürich
orcid: 0009-0008-0658-7697
repo-url: https://github.com/damian-oswald/master-thesis/
repo-actions: [source, issue]
downloads: pdf
reader-mode: true
chapters:
- index.qmd
- background.qmd
- vegetation-indices-based-methods.qmd
- machine-learning-methods-for-hyperspectral-data-analysis.qmd
- radiative-transfer-models.qmd
- describing-processing-and-inspecting-the-data.qmd
- technical-description-of-the-modelling.qmd
- results-of-the-model-performances.qmd
- discussion.qmd
- conclusion.qmd
- appendix.qmd
- references.qmd
cover-image: resources/cover.png
navbar:
title: false
background: dark
foreground: light
search: true
logo: resources/iconDO.png
logo-href: https://damianoswald.com/index.html
tools:
- icon: linkedin
href: https://www.linkedin.com/in/damian-oswald
- icon: envelope-fill
href: mailto:[email protected]
page-footer:
border: false
left: © 2023, Damian Oswald
center: Remote Sensing of Foliar Nitrogen in Californian Almonds (2023)
right:
- icon: github
href: https://github.com/Damian-Oswald
- icon: linkedin
href: https://www.linkedin.com/in/damian-oswald
- icon: envelope-fill
href: mailto:[email protected]
bibliography: resources/references.bib
csl: resources/ecology.csl
citation: true
format:
html:
theme: resources/theme.scss
number-sections: true
number-depth: 2
reference-location: margin
pdf:
output-file: damian-oswald-master-thesis.pdf