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
The Covid-19 situation is also challenging for the University as well as the EAGLE program. Even though we are all in the process to adapt to this new situation, the program itself is continuing as usual. All courses, exams, MSc thesis defense and so on will take...
The upcoming book by our lecturer Jakob Schwalb-Willmann, Stefan Dech and Martin Wegmann on "Introduction to Spatial Data Analysis" with QGIS and first steps in R is available for pre-order - order now and get 30% discount. This textbook aims at students and...
Benjamin will defend his M.Sc. thesis " DEVELOPMENT OF A SEMI-ANALYTICAL MODEL FOR SEAGRASS MAPPING USING CLOUD-BASED COMPUTING AND OPEN SOURCED OPTICAL SATELLITE DATA" on Friday March 6th 10 am in room 1.009 OKW 86. from the abstract: "Seagrasses provide USD$2.28...
Anna Orthofer presented last Friday her M.Sc. thesis "Deriving Leaf Area Index and mowing dates for grasslands based on the radiative transfer model SLC and Sentinel 2 data" successfully and is our first EAGLE M.Sc. graduate in 2020. Congratulations!
All our graduated EAGLE students are shown on our wall-of-fame. Great way to see who studied when and what was the topic about. Some of them are already doing their PhD with us or other research organizations and two of these graduates just founded their own remote...
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...
Anna Orthofer will present her M.Sc. thesis on Friday 7th of February at 10 am in room 1.009 OKW 86. Her M.Sc. was about "Deriving Leaf Area Index and mowing dates for grasslands based on the radiative transfer model SLC and Sentinel 2 data." More details from the...
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...
Felix Glasmann is presenting on Friday, 13th of December at 10am in room 1.009 OKW 86, his M.Sc. idea "Potential of the Firebird Mission for the Detection of Gas-flaring Activity". In times of worldwide phenomena like ‘Fridays for Future’ or ‘Extinction Rebellion’ it...