@inproceedings{30efd63c2d624d9e8db80fecbf0bb721,
title = "Hyperspectral datasets of boreal forest understory vegetation in Finland",
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.",
keywords = "boreal forest, spectroscopy, vegetation index",
author = "Miina Rautiainen and Janne Heiskanen and Matti M{\~o}ttus and Jouni Peltoniemi",
year = "2012",
month = jan,
day = "1",
doi = "10.1109/WHISPERS.2012.6874287",
language = "English",
isbn = "978-1-4799-3406-5",
series = "Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing",
publisher = "IEEE Institute of Electrical and Electronic Engineers",
booktitle = "2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012",
address = "United States",
note = "2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012 ; Conference date: 04-06-2012 Through 07-06-2012",
}