Opendata, web and dolomites


From needles to landscapes: a novel approach to scaling forest spectra

Total Cost €


EC-Contrib. €






Project "FREEDLES" data sheet

The following table provides information about the project.


Organization address
address: OTAKAARI 1
city: ESPOO
postcode: 2150

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Finland [FI]
 Total cost 1˙963˙590 €
 EC max contribution 1˙963˙590 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-COG
 Funding Scheme ERC-COG
 Starting year 2018
 Duration (year-month-day) from 2018-05-01   to  2023-04-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    AALTO KORKEAKOULUSAATIO SR FI (ESPOO) coordinator 1˙963˙590.00


 Project objective

Accounting for vegetation structure – clumping of foliage into shoots or crowns – is the largest remaining challenge in modelling scattered and absorbed radiation in complex vegetation canopies such as forests. Clumping controls the radiation regime of forest canopies, yet it is poorly quantified. Currently, the communities working with vegetation structure and optical measurements do not have a common understanding of the concept. The FREEDLES project sets out to develop a universal method for quantifying clumping of foliage in forests based on detailed 3D structure and spectral reflectance data. Clumping will be linked to photon recollision probability, an exciting new development in the field of photon transport modelling. Photon recollision probability will, in turn, be used to develop a spectral scaling algorithm which will connect the spectra of vegetation at all hierarchical levels from needles and leaves to crowns, stands and landscapes. The spectral scaling algorithm will be validated with detailed reference measurements in both laboratory and natural conditions, and applied to interpret forest variables from satellite images at different spatial resolutions. The proposed approach is contrary to many other lines of current development where more complexity is favoured in canopy radiation models. If successful, the approach will significantly improve estimates of absorbed and scattered radiation fields in forests and retrieval results of forest biophysical variables from satellite data. Future applications can also be expected in global radiation and carbon balance estimation and in chlorophyll fluorescence models for forests. Most importantly, the spectral scaling model will open new horizons for our scientific understanding of photon-vegetation interactions.


year authors and title journal last update
List of publications.
2019 Aarne Hovi, Eva Lindberg, Mait Lang, Tauri Arumäe, Jussi Peuhkurinen, Sanna Sirparanta, Sergey Pyankov, Miina Rautiainen
Seasonal dynamics of albedo across European boreal forests: Analysis of MODIS albedo and structural metrics from airborne LiDAR
published pages: 365-381, ISSN: 0034-4257, DOI: 10.1016/j.rse.2019.02.001
Remote Sensing of Environment 224 2019-12-16
2019 Petri Forsström, Jouni Peltoniemi, Miina Rautiainen
Seasonal dynamics of lingonberry and blueberry spectra
published pages: , ISSN: 2242-4075, DOI: 10.14214/sf.10150
Silva Fennica 53/2 2019-12-16
2018 Miina Rautiainen, Jan Pisek
Editorial for Special Issue “Optical Remote Sensing of Boreal Forests”
published pages: 1766, ISSN: 2072-4292, DOI: 10.3390/rs10111766
Remote Sensing 10/11 2019-12-16
2019 Daniel Schraik, Petri Varvia, Lauri Korhonen, Miina Rautiainen
Bayesian inversion of a forest reflectance model using Sentinel-2 and Landsat 8 satellite images
published pages: 1-12, ISSN: 0022-4073, DOI: 10.1016/j.jqsrt.2019.05.013
Journal of Quantitative Spectroscopy and Radiative Transfer 233 2019-12-16

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The information about "FREEDLES" are provided by the European Opendata Portal: CORDIS opendata.

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