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Research Article

Relation between leaf area index and NDVI for subarctic deciduous vegetation

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 8573-8589 | Received 04 Feb 2020, Accepted 24 May 2020, Published online: 04 Sep 2020
 

ABSTRACT

We consider the relationship between leaf area index (LAI) and normalized difference vegetation index (NDVI) for green-leaf vegetation from a subarctic study site, specifically to test whether relationships optimized for lower-latitude vegetation can be assumed to hold at higher latitudes. We focus attention particularly on dwarf-shrub vegetation, which has received little previous investigation. We have collected hyperspectral measurements of the optical properties (reflectance and absorptance) of single leaves from dwarf shrub and tree species common to northern European Russia, and have developed a simple physical model of the properties of assemblages (‘leaf stacks’) of these leaves. The model is shown to provide a satisfactory explanation of the effect of varying the number of leaves in a stack on its NDVI, and can be easily adapted to make simple measurements using relatively inexpensive equipment. Our results show that the LAI-NDVI relationship for a vegetation canopy will saturate (approach within 10% of its limiting value) when the LAI reaches a value of around 2 to 3. Values this low are not uncommon in subarctic vegetation. It is also shown that dwarf shrub vegetation may show lower NDVI than trees for the same LAI.

Acknowledgements

WGR, OVT, EIG, and MVZ and have been supported by the The Russian-British project “Multiplatform remote sensing of the impact of climate change on northern forests of Russia” unded by the British Council (Institutional Links Programme Grant no. 352397111) and the Ministry of Science and Higher Education of the Russian Federation (project RFMEFI61618X0099). The FieldSpec Pro Hi-Res spectroradiometer was purchased under the Development Programme of M. V. Lomonosov Moscow State University. The SLAP project to create a spectral library was supported in 2014–2017 by the EU ‘Interact’ programme to support the research and education network of Arctic research stations (www.eu-interact.org).

Disclosure statement

The authors declare that they have no conflicts of interest in the research described in this paper.

Additional information

Funding

This work was supported by the British Council [352397111]; Ministry of Science and Higher Education of the Russian Federation [RFMEFI61618X0099].

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