Summer School: GeoTraining

L09: AI and academic writing

ligu (ligu@undisclosed.example.com) — 2026-09-11T07:38:36+00:00

L09: AI and academic writing In this session, you will learn more about how AI has changed the “business” of academic writing, how it practically helps us but also how to use it carefully. Things we cover in this session * Looking at general ideas

O02: Concepts of Remote Sensing

amst (amst@undisclosed.example.com) — 2026-09-01T13:34:29+00:00

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

O01: Welcome to R - [Support]

amst (amst@undisclosed.example.com) — 2026-08-31T09:15:57+00:00

O01: Welcome to R Welcome to our first Geotraining Module (online): 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 neve…

Summer School: GeoTraining

amst (amst@undisclosed.example.com) — 2026-08-27T10:42:51+00:00

[Photo taken by Lilli Güssow] Summer School: GeoTraining Environmental and Remote Sensing Data Analysis via Geospatial Technologies in Research and Teaching ---------- A training programme for the academic qualification of junior researchers from Africa, Latin America, Middle East, South East Asia and South Asia for scholarship holders in the DAAD In-Country / In-Region Programme

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ligu (ligu@undisclosed.example.com) — 2026-08-18T20:53:56+00:00

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ligu (ligu@undisclosed.example.com) — 2026-08-18T20:52:13+00:00

E01-1 Comparison of Landsat 8 and Sentinel-2

ligu (ligu@undisclosed.example.com) — 2026-08-18T20:37:49+00:00

E01-1 Comparison of Landsat 8 and Sentinel-2 Basically there are two different types of sensor systems used for satellite based earth observation. On the one hand are passive systems which detect (reflected) radiation emitted by sun or earth. These are multispectral or hyperspectral sensors, depending on the number of bands they use for radiation detection. On the other hand are active sensors which emit radarwaves or laserbeams and detect the reflected radiation as well as its travel time whic…

O05: Reading Day

ligu (ligu@undisclosed.example.com) — 2026-08-18T20:29:00+00:00

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…

O04: Current Applications of Remote Sensing

ligu (ligu@undisclosed.example.com) — 2026-08-18T20:28:08+00:00

O04: Current Applications of Remote Sensing Lecture Please follow this link to find today's lecture: 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 …

O03: Earth Observation Data Analysis

ligu (ligu@undisclosed.example.com) — 2026-08-18T20:26:34+00:00

O03: Earth Observation Data Analysis Lectures * Introduction into the Case Study * Predictive Modelling 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:

W06-1: Structure of an article

ligu (ligu@undisclosed.example.com) — 2026-08-18T20:17:24+00:00

W06-1: Structure of an article In this worksheet, we will focus on the final goal of your research and the ultimate reason for academic communication: the publication. After completing this worksheet, you will have a better understanding of academic journals, the impact factor, and style sheets.

W03-2: Writing task

ligu (ligu@undisclosed.example.com) — 2026-08-18T20:14:46+00:00

W03-2: Writing task Things you need for this worksheet * Energy Reports * E-mail: quennet@uni-marburg.de Learning log assignments :-) Summarize the article on recycled water in Sydney from Energy Reports. Write 1-2 pages and send your work as a pdf-file to: maja.kalt@geo.uni-frankfurt.de

W02-6: Punctuation, ect.

ligu (ligu@undisclosed.example.com) — 2026-08-18T20:11:19+00:00

W02-6: Punctuation, ect. W02-6: Punctuation, Capitalization, Spelling In this worksheet, you will find three short exercise on the textual markers. Things you need for this worksheet * Punctuation rules for academic writing Lund University * Capitalization exercises * 1. Book: Writing for success: chapter 2 * 2. Book: Writing for success: chapter 3 * 3. Book: Writing for success: chapter 4 Learning log assignments

W02-3: Academic phrasebank

ligu (ligu@undisclosed.example.com) — 2026-08-18T20:07:52+00:00

W02-3: Academic phrasebank The Academic Phrasebank of the University of Manchester offers very good lists of academic phrases and their functions in academic writing. Things you need for this worksheet * Academic Phrasebank, University of Manchester Learning log assignments :-) Go to this

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ligu (ligu@undisclosed.example.com) — 2026-08-18T18:42:58+00:00

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ligu (ligu@undisclosed.example.com) — 2026-08-18T15:07:27+00:00

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ligu (ligu@undisclosed.example.com) — 2026-08-10T12:08:16+00:00

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ligu (ligu@undisclosed.example.com) — 2026-08-10T12:07:12+00:00

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ligu (ligu@undisclosed.example.com) — 2026-08-10T12:07:12+00:00

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ligu (ligu@undisclosed.example.com) — 2026-08-10T11:59:43+00:00