Homolova, L. and Malenovský , Z. and Clevers, J.G.P.W. and et al, . (2013) Review of optical-based remote sensing for plant trait mapping. Ecological Complexity. pp. 1-16.
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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.
| Item Type: | Article |
|---|---|
| Additional Information: | This work was supported by following projects: Ecochange (FP6-2006-GOCE-036866) and Hyper-I-Net (EC Marie Curie Action, MRTN-CT-2006-035927). |
| Uncontrolled Keywords: | Plant traits; Remote sensing; Plant ecology; Accuracy; Scaling |
| Author Affiliation: | Remote Sensing Laboratories, Department of Geography, University of Zürich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland |
| Subjects: | Agricultural Engineering |
| Divisions: | General |
| Depositing User: | Mr Siva Shankar |
| Date Deposited: | 02 Aug 2013 06:18 |
| Last Modified: | 02 Aug 2013 06:18 |
| Official URL: | http://dx.doi.org/10.1016/j.ecocom.2013.06.003 |
| URI: | http://eprints.icrisat.ac.in/id/eprint/11339 |
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