Modelling spectral reflectance of open cork oak woodland: a simulation analysis of the effects of vegetation structure and background

Full text not archived in this repository.

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Häusler, M., Silva, J. M. N., Cerasoli, S., Lopez Saldana, G. and Pereira, J. M. C. (2016) Modelling spectral reflectance of open cork oak woodland: a simulation analysis of the effects of vegetation structure and background. International Journal of Remote Sensing, 37 (3). pp. 492-515. ISSN 0143-1161 doi: 10.1080/01431161.2015.1134847

Abstract/Summary

This study analyses the influence of vegetation structure (i.e. leaf area index and canopy cover) and seasonal background changes on moderate-resolution imaging spectrometer (MODIS)-simulated reflectance data in open woodland. Approximately monthly spectral reflectance and transmittance field measurements (May 2011 to October 2013) of cork oak tree leaves (Quercus suber) and of the herbaceous understorey were recorded in the region of Ribatejo, Portugal. The geometric-optical and radiative transfer (GORT) model was used to simulate MODIS response (red, near-infrared) and to calculate vegetation indices, investigating their response to changes in the structure of the overstorey vegetation and to seasonal changes in the understorey using scenarios corresponding to contrasting phenological status (dry season vs. wet season). The performance of normalized difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI), and enhanced vegetation index (EVI) is discussed. Results showed that SAVI and EVI were very sensitive to the emergence of background vegetation in the wet season compared to NDVI and that shading effects lead to an opposing trend in the vegetation indices. The information provided by this research can be useful to improve our understanding of the temporal dynamic of vegetation, monitored by vegetation indices.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/52430
Identification Number/DOI 10.1080/01431161.2015.1134847
Refereed Yes
Divisions No Reading authors. Back catalogue items
Science > School of Archaeology, Geography and Environmental Science > Earth Systems Science
Science > School of Archaeology, Geography and Environmental Science > Department of Geography and Environmental Science
Science > School of Mathematical, Physical and Computational Sciences > National Centre for Earth Observation (NCEO)
Science > School of Mathematical, Physical and Computational Sciences > Environmental Systems Science Centre
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher Taylor & Francis
Download/View statistics View download statistics for this item

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar