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        <title>O01: Welcome to R</title>
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        <description>O01: Welcome to R

Welcome to our first Geotraining Module: Introduction to R.
Today you will learn about the programming language R that is the basis for Module 1: Geospatial Technologies. We will use R to analyze remote sensing imagery, do statistics, build models and advance into machine learning.
You already see: R can be used for a lot of things and it can be a bit overwhelming when you first start out. But do not worry, we start very slow with the very basics - so even if you never used R,…</description>
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        <title>O02: Concepts of Remote Sensing</title>
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        <description>O02: Concepts of Remote Sensing

After a  full day of R, today everything will be about remote sensing and earth observation. As broad as this field is nowadays, we want to give you an overview of important concepts of remote sensing along with some best practices to quickly get you to work with satellite imagery. There will be three parts to this: a</description>
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        <dc:date>2024-09-05T14:03:10+00:00</dc:date>
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        <title>O03: Earth Observation Data Analysis</title>
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        <description>O03: Earth Observation Data Analysis

Lectures

	*  Introduction into the Case Study &lt;https://www.youtube.com/watch?v=u9n3hkuwO2g&gt;
	*  Predictive Modelling &lt;https://www.youtube.com/watch?v=X1H8g_LaNQ0&gt;

Lecture Questions

As machine learning and spatial modelling is probably a new field for you, try to make sense of all the important terms first:</description>
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        <title>O04: Current Applications of Remote Sensing</title>
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        <description>O04: Current Applications of Remote Sensing

Lecture

Please follow this link to find today's lecture:

&lt;https://www.youtube.com/watch?v=lwdcda8lbbg&amp;list=PL1MbwuMcC4yWw0UhPyJE-oJCfXLIYrBYM&amp;index=2&gt;

Reading Task

	*   Machine learning-based global maps of ecological variables and the challenge of assessing them
	*   Countrywide mapping of shrub forest using multi-sensor data and bias correction techniques

Bonus R Practice

To go into more details of the modelling process, you will find a Bonus …</description>
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        <dc:date>2023-08-14T09:30:49+00:00</dc:date>
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        <title>O05: Reading Day</title>
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        <description>O05: Reading Day

You are now familiar with the basic concepts of remote sensing and know what machine learning is and how to use it for environmental science. Both of these topics are at the core of a vibrant scientific community that moves forward pretty fast and an very different directions. This is a very good thing, as for your own research you can count on many publications to get inspiration guidance from. However, the forest of publications can also be overwhelming when you first start o…</description>
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