SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:slubar.slu.se:97220"
 

Search: onr:"swepub:oai:slubar.slu.se:97220" > Forest Variable Est...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist
  • Wästlund, AndréSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skoglig resurshushållning,Department of Forest Resource Management (author)

Forest Variable Estimation Using a High Altitude Single Photon Lidar System

  • Article/chapterEnglish2018

Publisher, publication year, extent ...

  • 2018-09-07
  • MDPI AG,2018
  • MDPI,2024

Numbers

  • LIBRIS-ID:oai:slubar.slu.se:97220
  • https://res.slu.se/id/publ/97220URI
  • https://doi.org/10.3390/rs10091422DOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • As part of the digitalization of the forest planning process, 3D remote sensing data is an important data source. However, the demand for more detailed information with high temporal resolution and yet still being cost efficient is a challenging combination for the systems used today. A new lidar technology based on single photon counting has the possibility to meet these needs. The aim of this paper is to evaluate the new single photon lidar sensor Leica SPL100 for area-based forest variable estimations. In this study, it was found that data from the new system, operated from 3800 m above ground level, could be used for raster cell estimates with similar or slightly better accuracy than a linear system, with similar point density, operated from 400 m above ground level. The new single photon counting lidar sensor shows great potential to meet the need for efficient collection of detailed information, due to high altitude, flight speed and pulse repetition rate. Further research is needed to improve the method for extraction of information and to investigate the limitations and drawbacks with the technology. The authors emphasize solar noise filtering in forest environments and the effect of different atmospheric conditions, as interesting subjects for further research.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Holmgren, JohanSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skoglig resurshushållning,Department of Forest Resource Management(Swepub:slu)51020 (author)
  • Lindberg, EvaSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skoglig resurshushållning,Department of Forest Resource Management(Swepub:slu)47316 (author)
  • Olsson, HåkanSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skoglig resurshushållning,Department of Forest Resource Management(Swepub:slu)46943 (author)
  • Sveriges lantbruksuniversitetInstitutionen för skoglig resurshushållning (creator_code:org_t)
  • Sveriges lantbruksuniversitet

Related titles

  • In:Remote Sensing: MDPI AG102072-4292

Internet link

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Find more in SwePub

By the author/editor
Wästlund, André
Holmgren, Johan
Lindberg, Eva
Olsson, Håkan
About the subject
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Environmental En ...
and Remote Sensing
AGRICULTURAL SCIENCES
AGRICULTURAL SCI ...
and Agriculture Fore ...
and Forest Science
Articles in the publication
Remote Sensing
By the university
Swedish University of Agricultural Sciences

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view