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Data assimilation

a prototype system to assimilate forest stand information

Nyström, Mattias and Grafström, Anton and Lindgren, Nils and Olsson, Håkan and Ståhl, Göran (2016). Data assimilation. Umeå: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
, Sveriges lantbruksuniversitet. Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning och geomatik ; 448
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Abstract

The purpose of this report is to describe a data assimilation prototype program(Appendix A) developed to estimate forest stand data. The program was developed and tested on data col-lected on the forest estate Remningstorp in southern Sweden. Data assimilation can be used to sequentially combine remote sensing based estimates of forest variables with predictions from growth models. The assimilation routine implemented was the extended Kalman Filter.

The program supports two different ways to assimilate the forest data: (1) pixel-wise and (2)stand-wise. In the pixel-wise way, raster cells are used as assimilation unit and can beaggregated to a stand for evaluation. In the stand-wise way, the whole stand is assimilatedas one unit. The two methods has pros and cons. The pixel-wise way is simple to use as nostand-delineation is needed, but might be subject to boundary effects and noise due to geo-metric errors. Using the developed code, it has been shown in three case studies that thecombination of time series of remote sensing data and forest growth functions provides bet-ter estimates of forest variables than only using forecasting, or only using the latest remotesensing data. This opens up for a new way to keep forest stand registers up to date.

Authors/Creators:Nyström, Mattias and Grafström, Anton and Lindgren, Nils and Olsson, Håkan and Ståhl, Göran
Title:Data assimilation
Subtitle:a prototype system to assimilate forest stand information
Series/Journal:Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning och geomatik (1401-1204)
Year of publishing :8 April 2016
Depositing date:8 April 2016
Number:448
Number of Pages:31
Place of Publication:Umeå
Publisher:Department of Forest Resource Management, Swedish University of Agricultural Sciences
ISSN:1401-1204
Language:English
Publication Type:Report
Full Text Status:Public
Agris subject categories.:K Forestry > K01 Forestry - General aspects
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Agrovoc terms:data collection, databases, data analysis, forestry
Keywords:data assimilation, extended Kalman filter, forestry, forest inventory, forest data stand
URN:NBN:urn:nbn:se:slu:epsilon-e-3387
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-3387
ID Code:13262
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: Ylva Jonsson
Deposited On:18 Apr 2016 10:15
Metadata Last Modified:18 Apr 2016 10:15

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