Monitoring of Agricultural Landscapes
The module addresses methods on how Earth Observation and the use of geoinformation can support different fields of land and water management. Focus is set on remote sensing based concepts and methods for monitoring and supporting resource management in agricultural landscapes. Achievements and challenges are elaborated. The students will be guided to gain knowledge in selected practical examples.
Mapping the parameters
- Mapping cropland extent, cropland use, and cropping intensity at different scales
- Rainfed agriculture, irrigated cropland or pasture? Disentangling of complex vegetation classes
- Quantification of cropland production, status quo and developments
- Aproaches to mapping land abandonment
- More crop per drop? Assessing land and water use in irrigated landscapes
Remote sensing contributions to multi-sector assessments
- Population growth and the competition for land in rural areas
- Understanding the role of lakes and wetlands in agricultural landscapes
- Vulnerabillity of agricultural landscapes under changing climate conditions
- Crop yield predictions
Practical part on cropland use intensity in irrigation systems in Central Asia.
Small classification codes in R will be written (classification and accuracy assessment).
ArcGIS, ENVI / IDL, R
Practical work: Mapping cropland extent, cropland vegetation phenology, and crop types at different scales (Landsat / MODIS)
- Classification (random forest, knowledge-based decision trees)
- Accuracy assessment
Seminar plus practical part.
General Course News and Updates
On Thursday 30th at 10 am the following EAGLE students will present their internships or inno labs: Tobias Gutzmann: 'Aerial Image Analysis for WW2 Warfare Material Detection' at Luftbilddatenbank Henrik Fisser: 'Sentinel-2 Truck Detection - Sensing Trade from Space...
We received again a high number of very good applicants and are currently working through all application files. We will invite all eligible applicants in the next weeks for an interview. In total we received 137 eligible applications from the EU as well as North and...
On Friday 24th of January at 10 am in room 1.009 OKW 86 the following two internship presentation will take place: Henrik Fisser: "Into the Uncertain - Noise Quantification of Sentinel-2 Water Signal in Dependence of Atmospheric Correction Methods"and some details...
On Friday 10th of January the following presentations will take place in OKW86, room 1.009 from 10am onwards. Ojo Segun Adewale:Internship: Prediction of Gross Domestic Product using Remote Sensing Data (A case study of Brazil). Thesis Idea: Application of Remote...
Nina, Malin and Basil will present their M.Sc. idea and internships on Friday 20th of December in room 1.009 OKW 86. Ninas' envisioned M.Sc. is "Plastic waste detection assisted by artificial intelligence". Basil internship is titled: "Global training dataset for...
On Friday, 8th of November, from 10-12am the following presentation will take place in room 01.009, OKW 86: Michael Wang:"Deriving Surface Heat Island Intensities for TraK and CURE" - internship and thesis idea presentation Patrick Sogno:"The Hitchhikers Guide to an...
On Friday 25th of October several EAGLEs will present their M.Sc. thesis ideas and report back from an internship experience. It will take place at 10am in room 1.009, OKW 86. Katrin Hasenbein (MSc idea): "The potential of time-series data to improve fine scale...
On Monday, 14th of October, at 5pm in room ZHSG 01.002, after the welcome of the new EAGLEs we will have the following internship and Innovation Laboratory presentations: Pawel Kluter (Internship): "Remote Sensing in the Federal Criminal Police Office" Pawel Kluter...
A wide range of internships, innovation labs and M.Sc. idea presentations will take place next Monday (July 29th) in room 0.004, OKW 86. Everybody is invited to join the presentations and discussions: Morning session (10am - 12pm): Katrin Hasenbein (internship)...
Within the EAGLE program many Earth Observation applications and techniques are introduced and practically executed with quite some computer work. However, remote sensing research also requires a sound understanding of the study area. Field work is therefore a crucial...