Detection of olive oil mill waste (OOMW) disposal areas using high resolution GeoEye’s OrbView-3 and Google Earth images

Αγαπίου, Άθως; Papadopoulos, Nikos; Sarris, Apostolos

doi:10.1515/geo-2016-0067

Cited by 7 publications

(7 citation statements)

References 39 publications

(47 reference statements)

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“…The platform provides very high-resolution natural-color (i.e., RGB) images based on existing commercial space borne sensors, such as IKONOS, QuickBird, WorldView, etc. Despite the various limitations of Google Earth© images for scientific purposes, such as the compression of the original satellite images, the loss of image quality, as well as limitations in the spectral resolution (i.e., no near-infrared band is provided), recent research demonstrated the great potential of such platforms supportive to research and providing updated information [18]. Indeed, Google Earth© images have already been used for investigation of looting phenomena in the area of Palmyra [3,19] and the ancient city of Apamea, in Syria [20].…”

Section: Methodsmentioning

confidence: 99%

Optical Remote Sensing Potentials for Looting Detection

2017

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Looting of archaeological sites is illegal and considered a major anthropogenic threat for cultural heritage, entailing undesirable and irreversible damage at several levels, such as landscape disturbance, heritage destruction, and adverse social impact. In recent years, the employment of remote sensing technologies using ground-based and/or space-based sensors has assisted in dealing with this issue. Novel remote sensing techniques have tackled heritage destruction occurring in war-conflicted areas, as well as illicit archeological activity in vast areas of archaeological interest with limited surveillance. The damage performed by illegal activities, as well as the scarcity of reliable information are some of the major concerns that local stakeholders are facing today. This study discusses the potential use of remote sensing technologies based on the results obtained for the archaeological landscape of Ayios Mnason in Politiko village, located in Nicosia district, Cyprus. In this area, more than ten looted tombs have been recorded in the last decade, indicating small-scale, but still systematic, looting. The image analysis, including vegetation indices, fusion, automatic extraction after object-oriented classification, etc., was based on high-resolution WorldView-2 multispectral satellite imagery and RGB high-resolution aerial orthorectified images. Google Earth© images were also used to map and diachronically observe the site. The current research also discusses the potential for wider application of the presented methodology, acting as an early warning system, in an effort to establish a systematic monitoring tool for archaeological areas in Cyprus facing similar threats.

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Section: Methodsmentioning

confidence: 99%

Optical Remote Sensing Potentials for Looting Detection

2017

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“…The olive oil industry is crucial in Mediterranean countries, being a source of wealth and tradition and one of the fundamental sectors of agriculture in these countries [34]. However, the extraction of olive oil produces a considerable quantity of waste harmful to the terrestrial and aquatic environment due to its phytotoxicity representing a critical environmental issue, especially in Mediterranean areas [195].…”

Section: Olive Oil Mill Wastes (Oomw) Managementmentioning

confidence: 99%

“…In this framework and concerning the problem described above, the RS can help detect OOMW disposal areas. The identification of the ground investigation is long and expensive [34]. In this regard, several researches have included the use of satellites providing medium and high-resolution imagery to achieve this objective [34,38,40,47,57].…”

Section: Olive Oil Mill Wastes (Oomw) Managementmentioning

confidence: 99%

“…What is also critical for their environmental issues is managing wastewater produced by the olive oil industry. Olive oil extraction generates enormous waste that significantly impacts terrestrial and aquatic environments [34]. In this framework, the role of RS platforms can be to monitor this source of underground pollution related to olive oil waste disposal areas, which is considered a major environmental problem in Mediterranean countries [35].…”

Section: Introductionmentioning

confidence: 99%

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Twenty Years of Remote Sensing Applications Targeting Landscape Analysis and Environmental Issues in Olive Growing: A Review

Messina

Modica

2022

Remote Sensing

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The olive (Olea europaea L.) is an iconic tree linked to the birth of some of the most ancient civilizations and one of the most important cultivated tree species in the Mediterranean basin. Over the last few decades, given the high socio-economic importance of the olive sector, there has been much research involving remote sensing (RS) applications in olive growing, especially in precision agriculture. This review article is part of a review that aims to cover the past, from the 2000s onwards, and the most recent applications of remote sensing (RS) in olive growing to be able to include research and all topics related to the use of RS on olive trees. As far as the use of RS platforms such as satellites, aircraft, and unmanned aerial vehicles (UAVs) in olive growing is concerned, a review of the literature showed the presence of several works devoted to it. A brief introduction on the history of the olive tree and its distribution and cultivation around the world, together with a summary of the leading RS platforms (a good portion of which are satellites) used in olive research, anticipates the discussion of four topics about olive growing that have as their common thread positive (and non-positive) impacts on the environment: preservation of olive landscape and soil erosion, identification of olive groves, olive oil mill wastewater (OOMW) and relative environmental risks, irrigation water management and the use of RS platforms for water stress monitoring. The preservation of olive groves as an element of Mediterranean identity and strategic economic resource in agriculture depends on sustainable environmental management alongside technological advances brought by precision agriculture.

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“…Agapiou et al [5] show how satellite imagery can be used instead of field observations in detecting and monitoring olive oil mill waste, which has a negative impact on the land and water environment. The study used high resolution satellite images from Google Earth and archived GeoEye View-3 images to detect disposal sites using the SAM target detection algorithm.…”

Section: Papers Presentedmentioning

confidence: 99%