Forest crown cover estimation in northern boreal and temperate European forest

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

Abstract

A method for forest crown cover estimation using high resolution optical earth observation data was developed and tested at four study sites in Europe. Crown cover was estimated using the probability estimation method of VTT and Image2006 data. The accuracy of the crown cover predictions was assessed using reference data that were collected by visual interpretation of very high resolution aerial and space borne imagery. The average crown cover values in the reference data varied from 17 % to 86 % and in the predictions from 18 % to 80 %. The absolute root mean square error of the crown cover predictions varied between 14 % and 33 %. The results of the study showed that it is possible to map forest crown cover with twenty to thirty meter spatial resolution optical earth observation data using the single pixel values. However, understanding the variable results at different sites requires further investigation.
Original languageEnglish
Title of host publicationProceedings of the First Sentinel-2 Preparatory Symposium
PublisherEuropean Space Agency ESA
Number of pages5
Editioncd-rom
ISBN (Print)978-929092271-1
Publication statusPublished - 2012
MoE publication typeB3 Non-refereed article in conference proceedings
Event1st Sentinel-2 Preparatory Symposium - Frascati, Italy
Duration: 23 Apr 201227 Apr 2012

Publication series

SeriesESA Special Publication
NumberSP-707
ISSN0379-6566

Conference

Conference1st Sentinel-2 Preparatory Symposium
CountryItaly
CityFrascati
Period23/04/1227/04/12

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Keywords

  • remote sensing
  • optical
  • forest
  • density
  • crown cover
  • boreal
  • temperate

Cite this

Sirro, L., Häme, T., Ahola, H., & Lönnqvist, A. (2012). Forest crown cover estimation in northern boreal and temperate European forest. In Proceedings of the First Sentinel-2 Preparatory Symposium (cd-rom ed.). European Space Agency ESA. ESA Special Publication, No. SP-707