LiDAR remote sensing
In this module you will gain a detailed understanding of the advantages and challenges of Earth observation using Light Detection and Ranging (LiDAR) systems. Compared to other types of remote sensing data, the data from active Light Detection and Ranging (LiDAR) systems is of particular importance for local studies, where the 3D component (height) of objects is of relevance. Commonly LiDAR data is applied it in the field of digital terrain modelling, in forestry – e.g. for canopy height assessment, or urban structure applications. LiDAR embraces a range of active remote sensing systems mounted on different platforms, which provide valuable information for characterization of horizontal and vertical structure of the earth surface by measuring the travel time of laser pulses in visible and near-infrared spectral domains. The quality of scanning depends on the nature of the LIDAR system (discrete-return or full waveform) as well as on a set of other terrain- and data-driven factors. This course provides you with an overview on the theory and applications of LiDAR data, with a particular focus on airborne laser scanning. Following the initial theoretical sections on the principles and basic characteristics of LiDAR data, diverse practical steps and exercises will be implemented to provide real-world examples to illustrate how the LiDAR point clouds can be applied to extract information on terrain, surface and vegetation. These information will be further employed to model vegetation structural attributes on multiple spatial scales ranging from single trees to landscape levels.
Block 1: Introduction to LiDAR (how does laser scanning work?)
- Reminder on general remote sensing issues: difference between active and passive sensing
- History of LiDAR measurements
- Basics of LiDAR data measurements (platforms, sensors)
- Airborne vs. spaceborne LiDAR: history, applications and data access
- Measurement of travel time of laser light (pulsed time of flight)
- On the concept of “structure”: why a third dimension is crucial?
Block 2: Principles of LiDAR measurements
- Platform navigation, orientation and positioning
- Difference between types of data acquisitions: discrete return and echo waveform
- The recorded parameters: elevation, height, signal intensity and co.
- The concept of „single-pulse“ vs. „multiple-pulse“
- How are the incoming returns recorded? first come- first served!
- Terrestrial LiDAR measurement: one position, rotating scanner
- Data formats and big data-management: each byte matters!
Block 3: Elevation models:
- General thoughts: why are the elevation models essential?
- Digital terrain models
- Digital surface models
- Normalized DSM (Canopy height models)
- Application fields: Forest, landscape and habitat representations
- Magnified focus on Forest (basic and derived parameters): Diameter at breast height, height, tree type proportions, tree type mapping, crown closure, stem count, growing stock und aboveground biomass
- Single tree measurements
- Urban: City models, roof top and building footprints
Block 4: Exercises in Open-Source domain of LiDAR data processing (Fusion/LDV, LASTools, R)
- Exercises on point cloud processing
- Import, export, visualizations and rendering
- Sample measurements, single tree measurements and associated tasks
- Elevation models
- Data trimming, cropping, smoothing and generalizing
- Catalog and descriptive communication
- Extraction of metrics for modeling purposes
- Thoughts on metrics
- Intensity: yes or no?
- Multi-scale metric extraction
- Multi-source metric extraction
- Class works and workshops (CIP-Pool/Homework)
- Literature review, discussion groups and public presentations
Coding examples and individual work will be covered
Various software programs will be used, but mainly OpenSource software such as R.
Different techniques will be introduced and practically applied.
The content of scientific with regard to the audience will be discussed.
General Course News and Updates
Biodiversity analysis and conservation decision relies on adequate and meaningful data that are available on a long-term and global basis. Such environmental information need adequate spatial and temporal resolution and remote sensing data does provide a wide range...read more
Our new EAGLEs arrived and started their M.Sc. on Applied Earth Observation. During the official welcome all new students were introduced to the lecturer and the EAGLE students board. A joint dinner allowed to get to know everybody and address a...read more
While the "old" EAGLEs are spending their 3rd term doing internships or innovation laboratories in Italy, Portugal, Poland or Burkina Faso at various research organizations or companies, the new EAGLEs for the winter term 2017/2018 will be welcomed next week. The...read more
The EAGLE course "Remote Sensing in Biodiversity and Conservation Science" took place in the last week of the summer term at the field research station in Fabrik Schleichach, Steigerwald. 20 biology and EAGLE students worked and lived together for one week and...read more
Our EAGLE students had to present their work as posters, reports or oral presentations at the end of the summer term and could show impressive achievements and results of small research projects.Some impressions of their oral and poster presentations can...read more
Beside participants from the University of Wuerzburg and the DLR, also many colleagues from companies and a variety of national and international research institutions joined this event. The midsummer dialogue was organized by the EAGLE students. The students were...read more
The first field methods course in our EAGLE MSc programme took place in the JECAM test site of DEMMIN-Germany (close to the city of Demmin in Mecklenburg-Vorpommerania) from 12.- 17.6.2017. Six EAGLE students, one colleagues of DLR, Dr. Erik Borg, and two lecturers,...read more
The course on UAV application for Remote Sensing started successfully. The weather was good enough to do some first flights. In the next weeks and months more flights will be undertaken and data collected for different fields sites in order to gain more information...read more
The application deadline for the upcoming winter term is approaching. Apply within the next 7 days here: http://eagle-science.org/apply - application deadline is May 15th, further details about needed documents are listed on the application page. Learn within EAGLE...read more
The new term started with the course “Object-oriented image analysis”. It is a hands-on seminar covering eCognition by Dr. Michael Thiel and Dr. Christian Geiss. Christian is an invited guest lecturer from DLR’s Remote Sensing Data Center (Department: Geo-Risks and...read more
Applications for the EAGLE M.Sc. program are accepted until May 15th 2017 for the next winter term. The next application deadline will be only next year, again on May 15th 2018. You need the following documents for your application: a cover letter stating your...read more