GR Semicolon EN

Show simple item record

dc.contributor.author
Rachoni, Elissavet
en
dc.date.accessioned
2016-05-05T16:26:49Z
dc.date.available
2016-05-06T00:00:35Z
dc.date.issued
2016-05-05
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/14492
dc.rights
Default License
dc.subject
GIS
en
dc.subject
Bioenergy
en
dc.subject
Biofuels
en
dc.subject
Classification
en
dc.subject
Cynara carduculus
en
dc.subject
Energy crop
en
dc.subject
IKONOS
en
dc.subject
Marginal land
en
dc.subject
Remote Sensing
en
dc.subject
Spatial analysis
en
dc.title
A GIS-based method for the assessment of the biomass production potential in urban marginal land
en
heal.type
masterThesis
el
heal.creatorID.dhareID
e.rachoni@ihu.edu.gr
heal.classification
Engineering
en
heal.keywordURI.LCSH
Biofuels
heal.keywordURI.LCSH
Geographic information systems
heal.keywordURI.LCSH
Energy conservation
heal.keywordURI.LCSH
Environmental policy
heal.keywordURI.LCSH
Renewable energy sources.
heal.language
en
el
heal.access
free
el
heal.license
http://creativecommons.org/licenses/by-nc/4.0
el
heal.references
Agricon Hellas, 2015. Greece, accessed 05 April 2015, <http://www.agricorn.gr> Angelini, G., L. , Ceccarini, L., Nassi o Di Nasso, N., Bonari, E., 2009. Long-term evaluation of biomass production and quality of two cardoon (Cynara cardunculus L.) cultivars for energy use. Biomass and Bioenergy, 33, 810-816. Center for Renewable Energy Sources and Saving, 1987, Greece, accessed 04 April 2015, <http://www.cres.gr/kape/energeia_politis/energeia_politis_biomass_kalier.htm> Chuvieco, E., Congalton, R.,G., 1988. Mapping and inventory of forest fires from digital processing of TM data. Geocarto International, 3, 41-53. Climatemps, 2009-2015. Thessaloniki Climate & Temperature, accessed 18 June 2015, <http://www.thessaloniki.climatemps.com/#ixzz3XO2z2IkC> Curt, M.D., Sanchez, G., Fernandez, J., 2002. The potential of Cynara cardunculus L. for seed oil production in a perennial cultivation system. Biomass Bioenergy, 23, 33-46. Dufour, J., Arsuaga, J., Moreno, J., Torrealba, H., 2013. Life cycle assessment of biodiesel production from cardoon (Cynara cardunculus) oil obtained under Spain conditions. Energy Fuels, 27 5280–5286. Earth Observatory, 2015. USA, accessed 16 June 2015, <http://earthobservatory.nasa.gov/Features/MeasuringVegetation/measuring_vegetation_2.php> EUROSTAT, 2015. Europe, accessed 05 April 2015, <http://ec.europa.eu/energy/en/news/renewable-energy-met-15-eu-energy-demand-2013 Fernández J., Curt M.D., 2004. Low-cost biodiesel from Cynara oil. 2-nd World Conference on Biomass for Energy, Industry and Climate Protection, 10–14 May, Rome, Italy, 109–112. Fernandez, J., Curt, M.D., & Aguado, P. L., 2006. Industrial applications of Cynara cardunculus L. for energy and other uses. Industrial Crops & Products, 24, 222-229. Fernandez, J.,1998. Cynara cardunculus network. Final report AIR CTT 921089, Commission of the European Communities, Brussels, 248. Fernández, J., Hidalgo, M., Monte, J.P., Curt, D., 2005. Cynara cardunculus L. as a perennial crop for non irrigated lands: yields and applications. IV International Congress on Artichoke, Valenzano - Bari, Italy, Acta Horticulturae, 681,109-116. Fernández, J., Curt, M.D., Aguado, P.L., Sanz, M. & García-Müller, M., 2005. Performance of Cynara cardunculus grown on a Calcic Haploxeralf soil under xeric Mediterranean climate. Proc. 14th EU Biomass Conf., 371-374. Fiorese, G., Guariso, G., 2010. Α GIS-based approach to evaluate biomass potential from energy crops at regional scale. Environmental Modelling & Software, 25, 702-711. Foti, S., Mauromicale, G., Raccuia, S.A., Fallico, B., Fanella, F., Maccarone, E., 1999. Possible alternative utilization of Cynara spp. I. Biomass, grain yield and chemical composition of grain. Industrial Crops & Products, 10, 219-228. Gominho, J., Fernandez, J., Pereina, H., 2001. Cynara cardunculus L. – a new fibre crop for pulp and paper production. Industrial Crops & Products, 13, 1-10. Gominho, J., Lourenco, A., Curt, M., Fernandez, J., Pereira, H., 2009. Characterization of hairs and pappi from Cynara cardunculus capitula and their suitability for paper production. Industrial Crops & Products, 29, 116-125. Gominho, J., Lourenco, A., Curt, M., Fernandez, J., Pereira, H., 2014. Cynara cardunculus in Large Scale Cultivation. A Case Study in Portugal. Chemical Engineering transactions, 37, 529-534. Gong, P., Howarth, P., J., 1990. The use of structural information for improving land-cover classification accuracies at the rural-urban fringe. Photogrammetric Engineering and Remote Sensing, 56, 67-73. Gonzales J., Perez F., Fernández J., Lezaun J.A., Rodriguez D., Perea F., Romero C., Ochoa M.J., Garcia M., 2004. Study of Cynara cardunculus L. lignocellulosic biomass production in dry conditions. Acta Horticulturae, 660, 221-227. Google patents, 2015. USA, accessed 05 April 2015, <http://www.google.com/patents/WO2008110851A2?cl=en> Grammelis P., Malliopoulou, A., Basinas, P., Danalatos, N., 2008. Cultivation and characterization of Cynara cardunculus for solid biofuels production in the Mediterranean region. International Journal of Molecular Sciences, 9(7), 1241–1258. Green Facts, Facts on Health and the Environment, 2001-2012. USA, accessed 03 April 2015, <http://www.greenfacts.org/en/biofuels/l-2/1-definition.htm> Huth, J., Kuenzer, C., Wehrmann, T., Gebhardt, S., Tuan, V., Q., Dech, S., 2012. Land Cover and Land Use Classification with TWOPAC: towards Automated Processing for Pixel- and Object-Based Image Classification. Remote Sensing, 4, 2530-2553. IDRISI Klimanjaro, 2004. Guide to GIS and Image Processing. Idrisi Production, Clark Labs,USA, 2, 57-82. Ierna, A., Mauromicale, G., 2010. Cynara cardunculus L. genotypes as a crop for energy purposes in a Mediterranean environment. Biomass and Bioenergy, 34, 754-760. Ierna, A., Mauro, P., R., Mauromicale, G., 2012. Biomass, grain and energy yield in Cynara cardunculus L. as affected by fertilization, genotype and harvest time. Biomass and Bioenergy, 36, 404-410. Kipriotis, E., Vafeiadakis, T., 2014. Ramie and Kenaf as feed crops. National Agricultural Research Foundation, Greece, accessed 03 April 2015, <http://www.fibrafp7.net/Portals/0/03> Lewis, S., M., Kelly, M., 2014. Mapping the Potential for Biofuel Production on Marginal Lands: Differences in Definitions, Data and Models across Scales. ISPRS Int. J. Geo-Inf. 3, 430-459. Lillesand, M., T., Kiefer, W., R., 1994. Remote Sensing and Image Interpretation. John Wiley&Sons, Inc., New York. 1-21, 192-199. Lillesand, T.M., Kiefer, R.W. & Chipman, J.W., 2008. Remote Sensing and Image Interpretation. 6th ed. Hoboken: John Wiley & Sons. Liu, X.H., Skidmore,A.K. and Oosten,V.H., 2002. Integration of classification methods for improvement of land-cover map accuracy. ISPRS Journal of Photogrammetry&Remote Sensing, 56, 257-268. Mapping European Seabed Habitats, 2004-2010. European Union, accessed 16 June 2015, <http://www.emodnet-seabedhabitats.eu/default.aspx?page=1815> Marta, A., D., Natali, F., Mancini, M., Ferrise, R., Bindi, M., Orlandini, S., 2011. Τhe energy and water use related to the cultivation of energy crops: a Case Study in the Tuscany Region. Ecology and Society, 16, (2). Massimo, A., Dell’Isola, M., Frattolillo, A., Ficco, G., 2014. Development of a Geographical Information System (GIS) for the Integration of Solar Energy in the Energy Planning of a Wide Area. Sustainability, 6, 5730-5744. Mathieu, R, Aryal, J., Chong, K., Al., 2007. Object-Based Classification of Ikonos Imagery for Mapping Large-Scale Vegetation Communities in Urban Areas. Sensors (Basel), 7 (11), 2860–2880. Mauromicale, G., Sortino, O., Pesce, G., R., Agnello, M., Paolo., R., Curt M., et al., 2014. Suitability of cultivated and wild cardoon as a sustainable bioenergy crop for low input cultivation in low quality Mediterranean soils. Industrial Crops and Products, 57, 82–89. Myneni, R., B., Hall, F., G., Sellers P., J., Marshak, A.,L., 1995. The interpretation of spectral vegetation indexes. IEEE Transactions on Geoscience and Remote Sensing, 33, 481-486. Niblick, B., Monnell, J.D., Zhao, X., Landis, A.E., 2013. Using geographic information systems to assess potential biofuel crop production on urban marginal lands. Applied Energy, 103, 234–242. Office of Scientific and Technical Information, 2014. In the OSTI Collections: Biofuels, accessed 14 April 2015, <http://www.osti.gov/home/osti-collections-biofuels> Origin, 2015. Australia, accessed 04 April 2015, <http://www.originenergy.com.au> Pedroli, Β., , Elbersen B., Frederiksen, P., Grandin U., Heikkilä, R., Henning, P., Krogh, Z., Izakovičováf, Johansen, A., Meiresonne, L., Spijkerhttp://www.sciencedirect.com/science/article/pii/S0961953412003947 - aff1, J., 2013. Is energy cropping in Europe compatible with biodiversity? – Opportunities and threats to biodiversity from land-based production of biomass for bioenergy purposes. Biomass and Bioenergy, 55, 73–86. PCI Geomatics, 2011. Geomatica Help – Testing signature separability. Pino, A., Prados, F., Galan, E., McSweeney, P.L.H., Fernandez-Salguero, J.F., 2009. Proteolysis during the ripening of goats milk cheese made with plant coagulant or calf rennet. Food Research International, 42, 324-330. Portis, E., Acquadro, A., Longo, A.M.G., Mauro, R., Mauromicale, G., Lanteri, S., 2010. Potentiality of Cynara cardunculus L. as energy crop. J. Biotechnol. 150, 165–166. Quensland Government, 2011. Australia, accessed 05 April 2015, <http://keyserver.lucidcentral.org/weeds/data/080c0106-040c-4508-8300-0b0a06060e01/media/Html/Cynara_cardunculus.htm> Raccuia, S.A., & Melilli, M.G., 2004. Cynara cardunculus L., a potential source of inulin in Mediterranean environment: screening of genetic variability. Aust. J. Agric. Res., 55, 693-698. Rentizelas, A., A., Tolis, A., J., Tatsiopoulos I., P., 2009. Logistics issues of biomass: The storage problem and the multi-biomass supply chain. Renewable and Sustainable Energy Reviews, 13, 887-894. Ritsema, T., Smeekens, S., 2003. Fructans: beneficial for plants and humans. Current Opinion in Plant Biology, 6, 223- 230. Sandra Eksioglu, 2011. Biomass-for-Biofuel Supply Chain Design and Management Tools, Informs, accessed 14 April 2015, <https://www.informs.org/Blogs/O.R.-Analytics-in-Action-Blog/Biomass-for-Biofuel-Supply-Chain-Design-and-Management-Tools> Santhosh, S., B., Thirunavukkarasu, S., 2013. Geometric Correction in High Resolution Satellite Imagery using Mathematical Methods: A Case Study in Kiliyar Sub Basin Capt. Global Journal of Computer Science and Technology: F Graphics and Vision, 14, 35-40. Sellers, P., J., 1985. Canopy reflectance, photosynthesis, and transpiration. International Journal of Remote Sensing, 6, 1335-1372. Shortall, O., K., 2013. “Marginal land” for energy crops: Exploring definitions and embedded assumptions. Energy Policy, 62, 19–27. Skoulou, V., Zabaniotou, A., 2007. Investigation of agricultural and animal wastes in Greece and their allocation to potential application for energy production. Renew Sustain Energy Rev, 11, 1698–719. Sources of biomass, 2015. Wisconsin Grasslands Bioenergy Network, accessed 14 April 2015, <http://www.wgbn.wisc.edu/key-concepts/grassland-biomass-sources/sources-biomass> Sustainable Energy Authority of Ireland, 2015. Ireland, accessed 23 December 2015, <http://www.seai.ie/Your_Business/Public_Sector/FAQ> Usuda, Y., et al. 2003. A study on the optimization of image segmentation in object-Oriented Classification. Proceedings of the annual conference of the Japan Society for Photogrammetry and Remote Sensing in 2003, 125-128. Vasilakoglou I., Dhima K., 2014. Potential of two cardoon varieties to produce biomass and oil under reduced irrigation and weed control inputs. Biomass and Bioenergy, 63, 177-186. Venendaal, R. and Jørgensen, U. and Foster, C.A., 1997. European energy crops: A synthesis. Biomass and Bioenergy, 13, 147-185. Vieira, de Sa, F., Barbosa, M., 1972. Cheese-making with a vegetable rennet from Cardo (Cynara cardunculus). Journal of Dairy Research, 39, 335-343. Xiajun, Y., Lo, C., P., 2000. Relative radiometric normalization performance for change detection from multi-date satellite images. Photogrammetric Engineering and Remote Sensing 66, 967-980. Yun Zhang, 2004. Understanding Image Fusion, accessed 16 June 2015, <http://www.uvm.edu/rsenr/nr346/Readings/datafusion.pdf>
el
heal.recordProvider
School of Economics, Business Administration and Legal Studies, MSc in Environmental Management and Sustainability
el
heal.publicationDate
2016-02-20
heal.abstract
Nowadays, the use of bioenergy crops constitutes a rapidly evolving research field as the need for sustainable energy has clearly appeared by the embedment of renewable resources use in environmental policies globally. The European Council has set specific targets by 2020 for the use of energy from renewable sources. The above has resulted to a considerable amount of published works on methods able to provide, among other, information about the available areas for energy crops cultivation. The use of Geographic Information System (GIS) technologies on satellite images that are subjected to classification process provide information about the spatial distribution of the available for energy crops-cultivating land. Until now, most of the research efforts are based on classification and focusing on purely rural areas with massive production availability. There is a clear lack in the relevant literature on GIS-based methods focusing on suburb areas unsuitable for food production or residence use. The present study develops a GIS/classification-based method to present the potential of cultivating marginal land in the suburban area with Cynara carduculus-a Mediterranean plant that provides biofuels, with minimum needs for irrigation and cultivation. The proposed GIS method uses images of IKONOS satellite, the digital cadastral of the area and multiple criteria. After conducting the automated procedure of the classification different land use areas were distinguished to produce the primary mosaic. By combining the manually collected samples to the resulting mosaic image similar types of land use were joined in the same category producing a land use map of the area. On the final map the properties with undeveloped land were distinguished and the total area was estimated. In order to examine the applicability of the proposed methodology, a case study in Prefecture of Pilea is presented. Case study’s results prove that there is a great potential for the cultivation of biocrops in urban marginal land.
en
heal.tableOfContents
Preface 3 1 Introduction 6 2 Background 8 2.1 Definition of Biomass 8 2.2 CARDOON: A promising energy plant 10 2.3 Geographical Information Systems (GIS) and Remote sensing applications 16 2.4 Applications in remote sensning 21 3 Methodology 23 3.1 Study area 23 3.2 Data available 25 3.3 Software 27 3.4 Process steps 27 4 Results and discussion 35 5 Conclusions-Proposals 42 6 References 44
en
heal.advisorName
Bochtis, Dionysis
en
heal.committeeMemberName
Achillas, Charisios
en
heal.committeeMemberName
Banias, Georgios
en
heal.academicPublisher
IHU
en
heal.academicPublisherID
ihu
el
heal.numberOfPages
48
el


This item appears in the following Collection(s)

Show simple item record

Related Items