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Review of optical-based remote sensing for plant trait mapping

Citation

Homolova, L and Malenovsky, Z and Clevers, JGPW and Garcia-Santos, G and Schaepman, ME, Review of optical-based remote sensing for plant trait mapping, Ecological Complexity, 15 pp. 1-16. ISSN 1476-945X (2013) [Refereed Article]

Copyright Statement

Copyright 2013 Elsevier

DOI: doi:10.1016/j.ecocom.2013.06.003

Abstract

Plant trait data have been used in various studies related to ecosystem functioning, community ecology, and assessment of ecosystem services. Evidences are that plant scientists agree on a set of key plant traits, which are relatively easy to measure and have a stable and strong predictive response to ecosystem functions. However, the field measurements of plant trait data are still limited to small area, to a certain moment in time and to certain number of species only. Therefore, remote sensing (RS) offers potential to complement or even replace field measurements of some plant traits. It offers instantaneous spatially contiguous information, covers larger areas and in case of satellite observations profits from their revisit capacity.

In this review, we first introduce RS concepts of light–vegetation interactions, RS instruments for vegetation studies, RS methods, and scaling between field and RS observations. Further we discuss in detail current achievements and challenges of optical RS for mapping of key plant traits. We concentrate our discussion on three categorical plant traits (plant growth and life forms, flammability properties and photosynthetic pathways and activity) and on five continuous plant traits (plant height, leaf phenology, leaf mass per area, nitrogen and phosphorous concentration or content). We review existing literature to determine the retrieval accuracy of the continuous plant traits. The relative estimation error using RS ranged between 10% and 45% of measured mean value, i.e. around 10% for plant height of tall canopies, 20% for plant height of short canopies, 15% for plant nitrogen, 25% for plant phosphorus content/ concentration, and 45% for leaf mass per area estimates.

The potential of RS to map plant traits is particularly high when traits are related to leaf biochemistry, photosynthetic processes and canopy structure. There are also other plant traits, i.e. leaf chlorophyll content, water content and leaf area index, which can be retrieved from optical RS well and can be of importance for plant scientists.

We underline the need that future assessments of ecosystem functioning using RS should require comprehensive and integrated measurements of various plant traits together with leaf and canopy spectral properties. By doing so, the interplay between plant structural, physiological, biochemical, phenological and spectral properties can be better understood.

Item Details

Item Type:Refereed Article
Keywords:plant traits, remote sensing, plant ecology, accuracy, scaling
Research Division:Biological Sciences
Research Group:Ecology
Research Field:Ecological Physiology
Objective Division:Environment
Objective Group:Ecosystem Assessment and Management
Objective Field:Ecosystem Assessment and Management at Regional or Larger Scales
Author:Malenovsky, Z (Dr Zbynek Malenovsky)
ID Code:88816
Year Published:2013
Web of Science® Times Cited:63
Deposited By:Geography and Environmental Studies
Deposited On:2014-02-17
Last Modified:2014-05-22
Downloads:0

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