Ανάλυση, συσχέτιση και αξιολόγηση τηλεπισκοπικών δεδομένων, απο δορυφόρους, μη επανδρωμένα εναέρια οχήματα και φασματοραδιόμετρα πεδίου, με εφαρμογές στην γεωργία ακριβείας

Οικονόμου, Μάριος; Oikonomou, Marios

dc.contributor.author	Οικονόμου, Μάριος	el
dc.contributor.author	Oikonomou, Marios	en
dc.date.accessioned	2014-11-05T10:02:00Z
dc.date.available	2014-11-05T10:02:00Z
dc.date.issued	2014-11-05
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/39474
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.8902
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα	*
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/gr/	*
dc.subject	Γεωργία ακριβείας	el
dc.subject	Αμπελουργία ακριβείας	el
dc.subject	Υπερφασματικά δεδομένα	el
dc.subject	Πολυφασματικά δεδομένα	el
dc.subject	Διερεύνηση βαθμού συσχέτισης	el
dc.subject	Precision agriculture	en
dc.subject	Precision viticulture	en
dc.subject	spectroradiometer	en
dc.subject	WV2	en
dc.subject	UAV	en
dc.title	Ανάλυση, συσχέτιση και αξιολόγηση τηλεπισκοπικών δεδομένων, απο δορυφόρους, μη επανδρωμένα εναέρια οχήματα και φασματοραδιόμετρα πεδίου, με εφαρμογές στην γεωργία ακριβείας	el
dc.title	Analysis and evaluation of remote sensing data from satellites, UAVs and spectroradiometers for presicion agriculture	en
heal.type	bachelorThesis
heal.classification	Remote sensing	el
heal.language	el
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2014-10-10
heal.abstract	Recent advances in remote sensing technology have allowed the efficient use of several types of sensors in order to accomplish the implementation of precision agriculture applications. In particular, such applications have been used in viticulture aiming to improve the management of the upcoming harvest. The present study focuses on the analysis, regression and evaluation of hyperspectral and multispectral data collected for aplications in precision viticulture. Data collection was planed for 5 study areas (Nemea, Aminteo, Naousa, Atalanti, Trapeza) where vineyards are cultivated, and was dated just before the harvest period (July-August) during 3 campaigns (2012-2014). Three different types of data were processed including, ground radiance data using a field spectrometer (GER 1500, Spectra Vista Corporation, 350-1050nm, 512 spectral bands), WorldView-2 satellite data (DigitalGlobe, Inc. USA), and hyperspectral camera data (Micro-Hyperspec™ VNIR A1 Series,Headwall photonics, Inc. USA). Spectroradiometer ground data, for each study area were radiometrically checked and classified in correspondence with irradiance data to enable the proper calculation of reflectance values. Using reflectance values, spectral signatures for vine varieties were calculated and analyzed to exctract information about spectral behavior for each vine variety. The process of WorldView-2 satellite images included radiometric correction, atmospheric correction and spectral signatures calculation by sampling. Hyperspectral camera data were collected using an UAV (Unamanned Aerial vehicle) and were radiometrically and geometrically processed to calculate spectral signatures. Further analyzation of same vine varieties was made by comparing reflectance values, for all datasets. For this procedure simulated ground reflectance data, corresponding to WV-2 and the hyperspcectral bands was computed by using spectral response information. Thus, it was made possible to evaluate the relationship between ground data and satellite, aerial data, through regression models. Using linear regression models, the spectral signatures computed from satellite data (WV-2) and camera hyperspectral data, were correlated with the ones computed from the simulated ground data. Finally, from the qualitative evaluation of the developed methodology, certain coclusions are derived regarding the general spectral behavior of different varieties of vines, the correlation between the same vine varieties of different study areas, and the correlation between the different datasets. Additionally, certain suggestions have been highlighted for further research and also expectations for future use of similar methods of data analysis in applications for precision viticulture.	en
heal.advisorName	Καράντζαλος, Κωνσταντίνος	el
heal.committeeMemberName	Αργιαλάς, Δημήτριος	el
heal.committeeMemberName	Καραθανάση, Βασιλεία	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Αγρονόμων και Τοπογράφων Μηχανικών. Τομέας Τοπογραφίας. Εργαστήριο Τηλεπισκόπησης	el
heal.academicPublisherID	ntua
heal.numberOfPages	95 σ.
heal.fullTextAvailability	true