Assessment of Tropical Forest and Soil Resources - Uganda workshop
__TROPIRES Summer School Uganda August 19–23 2024__
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Cost-efficient spectroscopy for soil analyses
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*Leonardo Ramirez-Lopez, Moritz Mainka, Laura Summerauer*
# __The workshop__
This is the main repository of the workshop II entitled "__Cost-efficient spectroscopy for soil analyses__".
The main objective of our workshop was to immerse students in a practical experience where they could grasp the principles, benefits, and limitations of soil spectroscopy. To achieve this, we concentrated on the use of __handheld sensors__. The students developed their own predictive models using __open-source software__ and by utilising __existing soil NIR databases__. These models were then uploaded into a handheld system. Afterwards, they went into the field to carry out real-time estimations of the carbon content across soil profiles.
# __Our learning objectives__
- Understand NIR and IR Spectroscopy and soil spectral libraries
- Evaluate capabilities and limitations
- Gain hands-on experience with portable spectroscopy and estimations
- Interpret spectral data for soil management
- Dive into the Data Science aspects required for soil spectroscopy (with R)
# __In this repository__
- The core slides using during the workshop are in the folder `slides_presentations/`
- The core functions and examples are in the folder `R/`. Here you will also find the instructions on how to install the R library `proximater`which was intensively used during the workshop (see `install_proximater.R`).
- The main data are in the folder `data/`
- The data generated by the students are in the folder `data/00output`