Remote Sensing for Environmental Sciences
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Remote Sensing for Environmental Sciences
To be announced
Scope
This course offers the basic theories in the field of remote sensing, starting from the information needs of various land applications. It is directed at providing a basic knowledge of remote sensing concepts and methods: recording techniques in the optical and microwave region, image construction, geometric and atmospheric correction procedures and the subsequent quality of images. As a next step, image classification and validation are dealt with. The estimation of biophysical object properties is treated using spectral and radar backscatter indices and time series analysis. Throughout the course attention is paid to the possibilities and limitations of remote sensing from airplanes, drones and satellites as a source of information for the inventory and monitoring in the fields of agriculture, forestry, land use, agro-hydrology, nature conservation and other environmental issues. Hands-on skills for handling remote sensing data are central in the practical exercises.
Topics
- Introduction to Remote Sensing and different sensors (Optical vs RADAR vs Thermal)
- Pre-processing and data quality
- Image classification and validation
- Vegetation indices and time series analysis
- Radar remote sensing
- Discussion on working with own RS task
General information
| Target Group | The course is aimed at PhD candidates and other academics |
| Group Size | Min. 15, max. 24 participants |
| Course duration | 5 days |
| Language of instruction | English |
| Software | R, GEE and QGIS |
| Number of credits | 1.5 ECTS |
| Lecturers | Harm Bartholomeus, Lammert Kooistra, Kirsten de Beurs, Dainius Masiliunas, Nandika Tsendbazar and Johannes Balling. |
| Prior knowledge | Basic understanding of remote sensing is required. It is possible to use knowledge clips or follow GRS10306 course. |
| Location | TBD |
| Options for accommodation |
More information
Dr Nandika Tsendbazar (Laboratory of Geo-information Science and Remote Sensing, Wageningen University)
Phone: +31 (0) 317 482072
Email: nandin.tsendbazar@wur.nl
Registration of interest
At this moment, this course is not scheduled yet. However, if you register your interest in this activity below, we will inform you as soon as the course is scheduled and registration of participation is opened.