Hyperspectral datasets of boreal forest understory vegetation in Finland

Miina Rautiainen, Janne Heiskanen, Matti Mõttus, Jouni Peltoniemi

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

The understory layer or 'forest floor' typically has a significant role in forming the spectral signal of a sparse boreal forest. However, the lack of field measurements on understory spectra and their seasonality has restricted the development of remote sensing algorithms for phenological monitoring. This paper reviews recent efforts to establish hyperspectral databanks of forest understory vegetation in Finland, also unique to the entire boreal zone. Both multiangular and multitemporal data sets comprising the most common understory species have been collected. The data can be applied, for example, to separate the contributions of the tree layer and understory to the spectral signal of a forest through radiative transfer modeling.

Original languageEnglish
Title of host publication2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012
PublisherIEEE Computer Society Press
ISBN (Print)9781479934065
DOIs
Publication statusPublished - 1 Jan 2012
MoE publication typeA4 Article in a conference publication
Event2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012 - Shanghai, China
Duration: 4 Jun 20127 Jun 2012

Conference

Conference2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012
CountryChina
CityShanghai
Period4/06/127/06/12

Keywords

  • boreal forest
  • spectroscopy
  • vegetation index

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    Rautiainen, M., Heiskanen, J., Mõttus, M., & Peltoniemi, J. (2012). Hyperspectral datasets of boreal forest understory vegetation in Finland. In 2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012 [6874287] IEEE Computer Society Press. https://doi.org/10.1109/WHISPERS.2012.6874287