Hyperspectral dataset available as open data

Our novel Hyperspectral Terrestrial Laser Scanning (TLS) dataset has been published as open data.

The laser scanning point cloud dataset consists of 30 individual scans collected as a time series covering a 26 hour time frame. Each point in the laser scanning point cloud contains colour information from several different wavelengths. Ordinary laser scanning data has colour information from one wavelength.

Presentation of hyperspectral data

Hyperspectral data on a birch

 

Compared to traditional laser scanning data, hyperspectral data has advantages in for example target recognition and change detection, where it is possible to track changes of color of tree leaves, as in the data published. Also 3D RGB presentations can be produced from data without using separate camera. All laser scanners enable collecting data without external light source, also in the dark.

The dataset is available via the Etsin research data finding service provided by the Finnish Ministry of Education and Culture (http://urn.fi/urn:nbn:fi:csc-ida-4x201604052015015324658s). Datasets are provided in .laz format and published under the Creative Commons Attribution 4.0 International License (CC-BY-40).

The data has been utilised in recent research on movement of a birch during a 26 hour period, where it was found out that trees “sleep” during night. Click the picture below to see an animation on the movement of a tree:

Movement of a birch during 26 hour period

Movement of a birch during the night.

 

More information: Dr. Eetu Puttonen, eetu.puttonen(a)nls.fi

Read more on the published data at the National Land Survey and about the sleeping trees at the NLS and TU Wien press releases

 

 

 

Capturing Urban Data with Backpack Laser Scanning

Personal mobile mapping on a backpack (PLS) is a novel innovation from FGI. The application uses various technologies: GNSS-IMU positioning, laser scanning, digital photography and data driven algorithms for improving the positioning in often GNSS denied urban space. PLS allows rapid data collection of complex environment without compromising the data coverage, precision and accuracy of data. The approach is a flexible solution for varied situations and mapping tasks in urban space, and applicable to e.g. building façade reconstruction, street mapping, urban arboculture and change detection.
The research aims at development of modern surveying practices, investigates alternative system and sensor layouts and performance related issues as well as formulates automated data processes for 3D modeling and seeks for methods for improving geometric quality of data and data fusion.

More information: Dr. Antero Kukko, Antero.Kukko(a)nls.fi

 

Capturing urban data with PLS

Above: 3D geometry and imagery are collected simultaneously using backpack PLS providing an efficient tool for urban mapping.

 

Point cloud model of a building

Above: Point cloud data collected with backpack PLS captures building geometry fast in high details and accuracy.

 

Mobile laser scanning with Akhka

Laser Scanner in a Backpack – The Evolution towards All-terrain Personal Laser Scanners

Personal laser scanners (PLS) lead the way towards compact, agile and flexible solutions for mapping complex environments and challenging locations, such as rugged terrain and complicated urban structures. Our Akhka R2 backpack laser scanning system allows the operator to move in and around the scene while capturing the environment with millimetre precision. Read more about the latest development in the GIM International article Laser Scanner in a Backpack – The Evolution towards All-terrain Personal Laser Scanners. 

More information:

Dr. Antero Kukko, Antero.Kukko(a)nls.fi

Current events: Three doctoral defenses

Three new doctors are expected in the Centre of Excellence as Ville Kankare (Univ. of Helsinki), Anttoni Jaakkola and Lingli Zhu (FGI) are defending their doctoral dissertations in June:

Anttoni Jaakkola‘s defense on his doctoral dissertation Low-cost mobile laser scanning and its feasibility for environmental mapping (Edullinen liikkuva laserkeilaus ja sen soveltuvuus ympäristönkartoitussovelluksiin) will be held in Aalto University, TUAS-building, Hall AS1, Otaniementie 17Espoo, on 5 June 2015 at 12:oo. Read more on the news section

Ville Kankare will defend the doctoral dissertation entitled The prediction of single-tree biomass, logging recoveries and quality attributes with laser scanning techniques (Laserkeilaus puutason biomassan, puutavaralajien sekä laatutiedon ennustamisessa) in the Faculty of Agriculture and Forestry, University of Helsinki,also on 5 June 2015 at 12:00. The public examination will take place at the following address: EE-talo, Walter-sali, Agnes Sjöbergin katu 2. Read more

The public examination of the doctoral dissertation of Lingli Zhu will be held on 18 June 2015 at 12.00 at the Aalto University School of Engineering, Lecture hall M1, Otakaari 1, Espoo. The title of the dissertation is A Pipeline for 3D Scene Reconstruction from Point Clouds (Rakennetun ympäristön kolmiulotteinen mallintaminen pistepilvistä). Read more

 

 

A versatile low-cost mobile laser scanner system: New opportunities for applications

A novel low-cost multi-sensor mobile laser scanning system has been developed at FGI CoE-LaSR by Anttoni Jaakkola. This work is the focus of his Dr. Sc. thesis, presented in the public examination on 5th June 2015 (Press release in Finnish).

“The results show that mobile laser scanning is a feasible method for various applications of mapping the environment and that even a low-cost system can perform sufficiently in these measurements” Anttoni Jaakkola concludes.

The developed system has been demonstrated on car and UAV (umanned aerial vehicle) platforms. It allows recognizing and classifying different features in the scanned environment, i.e. those of trees, roads and snow depth more accurately compared to the formerly used systems.

With future advances of laser scanning and positioning technologies, it can be expected that price of these systems will further decrease. Widespread adoption of laser scanners, especially in the automotive industry and the new global navigation satellite systems, will significantly reduce the cost of mobile laser scanning components. Nowadays expensive mobile laser scanning systems are almost exclusively owned by mapping companies as benefits of using them requires high rates of utilization and applications with high added-value.

“With future cost reduction, mobile laser scanning will expand to new fields, as also other companies can afford to acquire such systems and utilize them in various applications.” Jaakkola foresees.

Mobile laser scanning is a measurement technology that combines accurate positioning and attitude information from navigation satellites and inertial sensors with distance measurements from a laser scanner into a point cloud that represents the geometry of the environment surrounding the measurement platform. This geometrical information can be utilized in a variety of applications ranging from 3D city modelling and infrastructure maintenance to forestry and environmental monitoring.

Picture: Anttoni Jaakkola (left) demonstrating the UAV mobile laser scanning system

More information: Senior Research Scientist Anttoni Jaakkola, anttoni.jaakkola(at)nls.fi, tel 358 50 3498 108

Dr.Sc. thesis Low-cost Mobile Laser Scanning and its Feasibility for Environmental Mapping https://aaltodoc.aalto.fi/handle/123456789/16212

Top cited paper by Dr. Harri Kaartinen

A publication by Dr. Harri Kaartinen and his team is the top cited paper in the Remote Sensing journal in years 2012-2014. The article An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning is based on the work the project “Tree Extraction” coordinated by CoE-LaSR researchers and organized by EuroSDR (European Spatial data Research) and ISPRS (International Society of Photogrammetry and Remote Sensing). The purpose of the project was to evaluate the quality, accuracy, and feasibility of automatic tree extraction methods, mainly based on laser scanner data.