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Original Articles

A comparative evaluation of spectral vegetation indices for the estimation of biophysical characteristics of Mediterranean semi-deciduous shrub communities

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Pages 2275-2296 | Received 08 Dec 2007, Accepted 09 Dec 2009, Published online: 20 Apr 2011

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Emanuel A. Storey, Douglas A. Stow & Dar A. Roberts. (2020) Evaluating uncertainty in Landsat-derived postfire recovery metrics due to terrain, soil, and shrub type variations in southern California. GIScience & Remote Sensing 57:3, pages 352-368.
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Marlena Kycko, Bogdan Zagajewski, Marcin Kluczek, Anna Tardà, Lydia Pineda, Vicenç Palà & Jordi Corbera. (2022) Sentinel-2 and AISA Airborne Hyperspectral Images for Mediterranean Shrubland Mapping in Catalonia. Remote Sensing 14:21, pages 5531.
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Cláudia M. Viana, Inês Girão & Jorge Rocha. (2019) Long-Term Satellite Image Time-Series for Land Use/Land Cover Change Detection Using Refined Open Source Data in a Rural Region. Remote Sensing 11:9, pages 1104.
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Noam Levin. (2015) Human factors explain the majority of MODIS-derived trends in vegetation cover in Israel: a densely populated country in the eastern Mediterranean. Regional Environmental Change 16:4, pages 1197-1211.
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Parviz Fatehi, Alexander Damm, Michael Schaepman & Mathias Kneubühler. (2015) Estimation of Alpine Forest Structural Variables from Imaging Spectrometer Data. Remote Sensing 7:12, pages 16315-16338.
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H. Zandler, A. Brenning & C. Samimi. (2015) Quantifying dwarf shrub biomass in an arid environment: comparing empirical methods in a high dimensional setting. Remote Sensing of Environment 158, pages 140-155.
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Tobias Landmann & Olena Dubovyk. (2014) Spatial analysis of human-induced vegetation productivity decline over eastern Africa using a decade (2001–2011) of medium resolution MODIS time-series data. International Journal of Applied Earth Observation and Geoinformation 33, pages 76-82.
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Marcel Schwieder, Pedro Leitão, Stefan Suess, Cornelius Senf & Patrick Hostert. (2014) Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine Learning Regression Techniques. Remote Sensing 6:4, pages 3427-3445.
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