Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/9548
Title: Discriminant analysis of olive oil mill wastes using spectroradiometers in the visible and near infrared part of the spectrum
Authors: Agapiou, Athos 
Papadopoulos, Nikos 
Sarris, Apostolos 
Keywords: Crete;GeoEye;Olive Oil Mill Waste Index;Separability analysis;Spectroradiometer
Category: Environmental Biotechnology
Field: Engineering and Technology
Issue Date: 1-Jan-2015
Publisher: Associazione Italiana di Telerilevamento
Source: European Journal of Remote Sensing, Volume 48, 2015, Pages 793-809
metadata.dc.doi: 10.5721/EuJRS20154844
Abstract: This paper aims to introduce an index which is able to assist the recognition of Olive Oil Mill Wastes (OOMW) disposal areas using multispectral satellite images. For this purpose several ground spectroradiometric measurements in the range of 450 - 900 nm have been collected at a variety of targets. The samples were initially resampled to the GeoEye-1 sensor using the appropriate Relative Spectral Response Filter (RSR) and then scatter plots and spectral signatures were projected. Then an evaluation of nine widely used vegetation indices was performed. This analysis indicated that, Perpendicular Vegetation Index (PVI), Transformed Soil Adjusted Vegetation Index (TSAVI) and Soil and Atmospherically Resistant Vegetation Index (SARVI) are the most efficient indices to enhance the detection of Olive Mill Waste disposal areas. Moreover, correlation as well as separability analysis have shown than blue and near infrared (NIR) spectral bands are the most suitable for interpretation purposes. The Olive Mill Waste index was applied also to GeoEye-1 in different cases studies in the island of Crete.
URI: http://ktisis.cut.ac.cy/handle/10488/9548
ISSN: 11298596
Rights: © 2015 by the authors; licensee Italian Society of Remote Sensing (AIT).
Type: Article
Appears in Collections:Άρθρα/Articles

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