Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/88949
Title: Assessing the effectiveness of RapidEye multispectral imagery for vegetation mapping in Madeira Island (Portugal)
Authors: Massetti, Andrea
Sequeira, Miguel Menezes
Pupo, Aida
Rodrigues, Albano 
Guiomar, Nuno
Gil, Artur 
Keywords: Land cover mapping; biodiversity assessment; land use assessment; oceanic island
Issue Date: 17-Feb-2017
Publisher: Taylor & Francis
Project: SFRH/BPD/100017/2014 
Serial title, monograph or event: European Journal of Remote Sensing
Volume: 49
Issue: 1
Abstract: Madeira Island is a biodiversity hotspot due to its high number of endemic/native plant species. In this work we developed and assessed a methodological framework to produce a RapidEye-based vegetation map. Reasonable accuracies were achieved for a 26 categories classification scheme in two different seasons. We tested pixel and object based approaches and the inclusion of a vegetation index band on top of the pre-processed RapidEye bands stack. Object based generally showed to outperform pixel based classification approaches except for linear or highly scattered classes. The addition of a vegetation index to the workflow increased the separability of the Jeffrey-Matusita least separable class pairs, but not necessarily the overall accuracy. The Pontius accuracy assessment highlighted class specific accuracy tradeoffs related to different combinations of the inputs and methods. The approach to be used, in conclusion, should be carefully considered on the basis of the desired result.
URI: http://hdl.handle.net/10316/88949
ISSN: 2279-7254
DOI: 10.5721/EuJRS20164934
Rights: embargoedAccess
Appears in Collections:I&D CEGOT - Artigos em Revistas Internacionais

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