- en:courses:training:element-01:worksheets
https://www.geotraining.geomedienlabor.de/
2026-04-15T23:04:53+00:00
https://www.geotraining.geomedienlabor.de/
https://www.geotraining.geomedienlabor.de/lib/exe/fetch.php?media=wiki:dokuwiki.svgtext/html2022-03-13T18:16:12+00:00Anonymous (anonymous@undisclosed.example.com)W01-1: R and R studio
https://www.geotraining.geomedienlabor.de/doku.php?id=en:courses:training:element-01:worksheets:lc-ws-01-1&rev=1647195372&do=diff
W01-1: R and R studio
For a warm up, this worksheet handles writing and executing R scripts from within R studio. After completing this worksheet you should be able to write simple R scripts in R studio and execute individual lines.
Things you need for this worksheettext/html2022-03-13T18:16:12+00:00Anonymous (anonymous@undisclosed.example.com)W01-2: Read the field data
https://www.geotraining.geomedienlabor.de/doku.php?id=en:courses:training:element-01:worksheets:lc-ws-01-2&rev=1647195372&do=diff
W01-2: Read the field data
In this worksheet, we will read and explore the data that were collected during the field campaign on Fogo 2015. After completing this worksheet you should be able to read tables into R and access individual information from the data.text/html2022-03-13T18:16:12+00:00Anonymous (anonymous@undisclosed.example.com)W02-1: Explore the field data
https://www.geotraining.geomedienlabor.de/doku.php?id=en:courses:training:element-01:worksheets:lc-ws-02-1&rev=1647195372&do=diff
W02-1: Explore the field data
Things you need for this worksheet
*
R — the interpreter can be installed on any operation system. For Linux, you should use the r-cran packages supplied for your Linux distribution. If you use Ubuntu, this is one of many starting points. If you use Windows, you could install R from the officialtext/html2022-03-13T18:16:12+00:00Anonymous (anonymous@undisclosed.example.com)W03-1: Read remote sensing data
https://www.geotraining.geomedienlabor.de/doku.php?id=en:courses:training:element-01:worksheets:lc-ws-03-1&rev=1647195372&do=diff
W03-1: Read remote sensing data
In this worksheet, we will explore Landsat data of Fogo. After completing this worksheet you should be able to find and download satellite data (e.g. Landsat) and read these data in R.
Things you need for this worksheettext/html2022-03-13T18:16:12+00:00Anonymous (anonymous@undisclosed.example.com)W03-2: Explore the Landsat data
https://www.geotraining.geomedienlabor.de/doku.php?id=en:courses:training:element-01:worksheets:lc-ws-03-2&rev=1647195372&do=diff
W03-2: Explore the Landsat data
In this worksheet, we will further explore the Landsat data of Fogo. After completing this worksheet you should be able to access individual bands of the data and create different color composites.
Things you need for this worksheettext/html2022-03-13T18:16:12+00:00Anonymous (anonymous@undisclosed.example.com)W04-1: Create training sites
https://www.geotraining.geomedienlabor.de/doku.php?id=en:courses:training:element-01:worksheets:lc-ws-04-1&rev=1647195372&do=diff
W04-1: Create training sites
Ground truth data (training sites) are needed to classify the satellite images according to land cover type specific spectral properties. In this worksheet, we will create ground raining sites to prepare for the land cover classification. Since the field samplings are of small spatial extent (5x5m), we will digitize further sites in order to get a representative set of training data.text/html2022-03-13T18:16:12+00:00Anonymous (anonymous@undisclosed.example.com)W04-2: Land cover classification
https://www.geotraining.geomedienlabor.de/doku.php?id=en:courses:training:element-01:worksheets:lc-ws-04-2&rev=1647195372&do=diff
W04-2: Land cover classification
Once training sites are available, we can start with classifying the Landsat scene.
In this worksheet, we will use Random Forest as a classifier.
Things you need for this worksheet
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R — the interpreter can be installed on any operation system. For Linux, you should use the r-cran packages supplied for your Linux distribution. If you use Ubuntu,text/html2022-03-13T18:16:12+00:00Anonymous (anonymous@undisclosed.example.com)W05-1: Accuracy Assessment
https://www.geotraining.geomedienlabor.de/doku.php?id=en:courses:training:element-01:worksheets:lc-ws-05-1&rev=1647195372&do=diff
W05-1: Accuracy Assessment
At the end of each Land cover classification (or of each predictive modeling in general) must be an assessment of the accuracy of the model. Though you might have the feeling that the hardest part of the task is done, the accuracy assessment is actually a challenging and very important part of the process.text/html2022-03-13T18:16:12+00:00Anonymous (anonymous@undisclosed.example.com)W06-1: Spatial data visualization
https://www.geotraining.geomedienlabor.de/doku.php?id=en:courses:training:element-01:worksheets:lc-ws-06-1&rev=1647195372&do=diff
W06-1: Spatial data visualization
Things you need for this worksheet
*
R — the interpreter can be installed on any operation system. For Linux, you should use the r-cran packages supplied for your Linux distribution. If you use Ubuntu, this is one of many starting points. If you use Windows, you could install R from the official