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 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...
On Thursday 27th of June at 10am in room 0.004 (OKW 86) the following students will present their M.Sc. idea and their innovation lab outcome: Thesis idea presentation by Johni Miah:"Detecting and Assessing Ground Subsidence of Dhaka City, Bangladesh, using Synthetic...
The following students will present next Tuesday (26th) at 2pm in room 0.004 their internships or innovation labs:Itohan-osa Abu (internship): Mangrove Mapping with TimeScan Data for Nigeria and an Analysis in Context of Coastal Gas Flaring Salim Soltani (internship):...
Our EAGLEs in 2018 visited the German Aerospace Center, namely the Earth Observation Center, close to Munich. Various topics were presented by DLR scientist and the EAGLEs hat the chance to discuss various topics in small groups with individual scientists.
on Thursday, December 13th, at 12:30 we will have the following presentations in the student working room (Josef Martin Weg 52, 3rd floor): internship presentations: Johni Miah"Remote Sensing and Geographic Information System for Decision...
On Monday, 24th of September, at 1pm the following internship reports will be presented: Bharath: "Installation and Characterization of an imaging Spectrometer for the UAV-based remote sensing" Johannes: "Crop classification based on S1/S2 in...
The following students presented their innovation labs, internships and ideas for MSc. thesis: Ahmed: Innovation Lab at DLR (team of Ursula Gessner) and Master Thesis Idea: Title: Status of Agricultural Lands in Egypt using Earth Observation Maninder (at DLR,...
Today some of our EAGLE students presented their internship and innovation laboratory projects. Very interesting topics and they obviously applied and deepened their remote sensing knowledge a lot. Julia Sauerbrey: Prediction of Organic Matter Content from Sentinel-2...