| Kommentar |
The growing global population, together with climate change, puts pressure on the Earth’s environment. Earth Observation can provide essential information for monitoring environmental change.
In this course, students will acquire theoretical and practical knowledge of state-of-the-art Earth Observation data and tools for environmental monitoring with a focus on agricultural and urban land monitoring. The seminar will cover several topics varying from cropland mapping, urban change detection and how earth observation can support monitoring of sustainable development goals.
For this purpose, data from different sources will be tested, such as MODIS, Landsat, Sentinel-1, Sentinel-2. Appropriate theoretical knowledge on suitable methods and relevant datasets will be developed in the seminar and then implemented during practical sessions. During the practical sessions, students will gain firsthand experience in the R programming language and Google Earth Engine (using Javascript) for solving different real world issues with the use of multisource data.
The topics will include (but not limited to):
- Sustainable development goals and corresponding indicators
- Global agricultural monitoring: data, tools, information needs and current status
- Monitoring of crop growth and condition with Sentinel -1 and Sentinel-2
- Crop Water Use, water logging and Irrigation assessment
- Drought impact assessment
- Remote Sensing and crop yield assessment
- Urban land change detection
- Urban sprawl indices
This module will successfully finish with a term paper and a presentation prepared in a group, focusing on one particular method or application related to the case studies.
Knowledge of the basic concepts of remote sensing, as well as basic programming experience are prerequisites for participating in this module. |
| Literatur |
Paganini, M., Petiteville, I., Ward, S., Dyke, G., Steventon, M., Harry, J., & Kerblat, F. (2018). Satellite earth observations in support of the sustainable development goals. The CEOS Earth Observation Handbook.
Delince, J., Lemoine, G., Defourny, P., Gallego, J., Davidson, A., Ray, S., ... & Achard, F. (2017). Handbook on remote sensing for agricultural statistics. GSARS: Rome, Italy. https://www.fao.org/3/ca6394en/ca6394en.pdf
Weiss, M., Jacob, F., & Duveiller, G. (2020). Remote sensing for agricultural applications: A meta-review. Remote Sensing of Environment, 236, 111402. |
