Aim
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.
Content
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.
Coding
Small classification codes in R will be written (classification and accuracy assessment).
Software
ArcGIS, ENVI / IDL, R
Techniques
Practical work: Mapping cropland extent, cropland vegetation phenology, and crop types at different scales (Landsat / MODIS)
- (Segmentation)
- Classification (random forest, knowledge-based decision trees)
- Accuracy assessment
Content
Seminar plus practical part.
General Course News and Updates
internship and inno lab presentations
On Wednesday, 27th of February at 2pm we will have the first set of internship and innovation laboratory presentations in 2021: Yan Chak Christopher Chan: Start-up life and Deep Learning (Internship) Nils Karges: Noise and its relation to urban structural types...
Internships, inno lab and MSc ideas presentations
On Monday, Dec. 14th at 10am, we have another set of internship, innovation lab and MSc. thesis idea presentations: Sandro Groth: Multitask Deep Learning and Google Street View: Assessing seismic building vulnerability in Santiago de Chile (Internship)...
MSc idea & internship
On Monday, Dec. 7th at 10am, various internships, innovation labs and M.Sc. ideas will be presented: Malin Fischer: EO and spatial data analysis for rural village assessment - example from the electrification sector (Internship) Henrik Fisser: Road traffic...
impressions of our UAV course
In September 2020 our UAV course took place and all practical exercises were covered. The manual UAV control as well as the automatic mission planning settings were discussed and actually applied. Various UAV systems were explored by the students and a diversity of...
Internship presentations
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...
2020 applications
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...
internship presentation by Henrik Fisser and Ronja Lappe
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...
Internship and MSc idea presentations
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...
M.Sc. Idea presentation by Nina Gnann and internship by Basil Tufail and Malin Fischer
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...
MSc idea and internship presentations
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...