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FREEDLES SIGNED

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

Total Cost €

EC-Contrib. €

Partnership

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FREEDLES project word cloud

Explore the words cloud of the FREEDLES project. It provides you a very rough idea of what is the project "FREEDLES" about.

linked lines landscapes fluorescence radiation regime foliage transport models spectra clumping reflectance global probability freedles stands significantly leaves laboratory carbon connect chlorophyll 3d communities absorbed vegetation balance optical biophysical reference universal controls canopy natural shoots crowns resolutions spatial horizons remaining structure satellite images successful favoured contrary recollision scaling estimation data spectral complexity interpret algorithm model needles hierarchical turn forests canopies accounting scattered scientific levels variables poorly interactions photon forest quantifying validated estimates quantified retrieval

Project "FREEDLES" data sheet

The following table provides information about the project.

Coordinator	AALTO KORKEAKOULUSAATIO SR Organization address address: OTAKAARI 1 city: ESPOO postcode: 2150 website: http://www.aalto.fi/en/ 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

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	AALTO KORKEAKOULUSAATIO SR AALTO KORKEAKOULUSAATIO SR Organization address address: OTAKAARI 1 city: ESPOO postcode: 2150 website: http://www.aalto.fi/en/ contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	FI (ESPOO)	coordinator	1˙963˙590.00

Map

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.

Publications

List of publications.
year	authors and title	journal	last update
2019	Aarne Hovi, Eva Lindberg, Mait Lang, Tauri ArumÃ¤e, 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 ForsstrÃ¶m, 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 â€œOptical Remote Sensing of Boreal Forestsâ€ 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.