Dr George Ch. Miliaresis Email: miliaresis.g@gmail.com Skype: george.miliaresis

Address: 38, Tripoleos Str., Athens, 104-41, Greece Tel: +30 -6971-633.732

Memberships Remote Sensing & Photogrammetry Society (RSPS), AM 1821, (AFRSPSoc)

The Imaging & GeoSpatial Society (ASPRS), Member, ID 36758

Int. Society for Mathematical Geology (IAMG), AM 1713, (life membership)

American Geophysical Union (AGU), Member

Distinctions/Awards Editorial board of the Remote Sensing Letters, published by the Remote Sensing & Photogrammetry Society, Taylor & Francis, 2010-present

Boeing Award 2015: Best Scientific paper (AS PRS) in Image analysis & interpretation . Miliaresis G., 2014. Daily Temperature Oscillation Enhancement of Multi-temporal LST Imagery. Photogrammetric Engineering & Remote Sensing 80(5):423-428.

Keynote speaker: Int. Symposium on Terrain Analysis & Digital Terrain Modeling, Nanjing, China, 23-25/11/2006

Web profilesWeb page: http://miliaresis.tripod.com

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CV: http://www.slideshare.net/gmiliar/george-miliaresis-cv

Research Gate: https://www.researchgate.net/profile/George_Miliaresis/

OrcID: http://orcid.org/0000-0001-8395-435X

Citations: http://www.slideshare.net/gmiliar/citations-42135529

Google Scholar: https://scholar.google.gr/citations?user=knJNtVwAAAAJ

Scopus: http://www.scopus.com/authid/detail.url?authorId=6602411266

Facebook: https://www.facebook.com/george.miliaresis

Twitter: https://twitter.com/GeorgeMiliaresi

Linkedin: http://www.linkedin.com/pub/george-miliaresis/63/97/86b

Professional appointments

• 2012 - 2015, Environmental Conservation & Management, Faculty of Pure & Applied Sciences, Open University of Cyprus, Methodology & Techniques in Environmental Research (a.Remote Sensing, b.GIS, c. Statistical Data Analysis, d.Modeling, e.Research Methodology), [Scientific coordinator & Adjunct Faculty] ← Athens Branch, Greece

• 2011 – 2012, Remote Sensing & GIS Research Center, Sultan Qaboos University, Remote Sensing & Data Modeling, [Research Scientist, Grade B] ← Muscat, Oman

• 2004 – 2010, Geology Dpt., University of Patras, Greece, Remote Sensing & GIS [Lecturer]

• 2001 – 2004, Topography Dpt., Technological Institute of Athens, Greece, Remote Sensing & Photo-Intepretation [Adjunct Faculty]

Education

• Miliaresis G., 2000. Recognition of landforms from digital elevation models and satellite imagery with expert systems, pattern recognition and image processing techniques. PhD (Remote Sensing & Terrain Pattern Recognition), National Technical University of Athens, Topography dpt. DOI: 10.6084/m9.figshare.1004889

• Diploma in Geology, National University of Athens, Dpt. of Geology (1988)

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Teaching Statement

• Undergraduate & postgraduate courses (web courses, labs, data repositories, webmaps, presentations, papers, etc. etc.) are available through my web pagehttp://miliaresis.tripod.com in the fields:

◦ TERRAIN MODELING: Terrain segmentation, Terrain patternrecognition. Terrain Classification, Geomorphometric mapping, DigitalTerrain analysis

◦ IMAGE ANALYSIS & INTERPRETATION: Elevation latitude longitudedecorrelation stretch, Diurnal oscillation enhancement, Selectivevariance reduction, Temporal frequency enhancement, Spatio-Temporal modeling

◦ BIOPHYSICAL GEOSCIENCES: SpatioTemporal processes, Bio-Patternanalysis, Land surface temperature, Natural hazards, Environmentalmonitoring

• Software: IDRISI & ARCGIS, MatLab & SPSS, ERDAS-IMAGINE & ENVI,as well asOpen source software, Grass, Monteverdi, MultiSpec, QGIS, Saga, R, Fuzme,Geotools, Maptools, Whitebox, NEST, PolSARpro. I am author of GeoLogic Shell(terrain modelling,& GIS) distributed from the Int. Ass. for Mathematical Geology:http://www.iamg.org/documents/oldftp/VOL33/v33-08-07.zip,http://www.iamg.org/documents/oldftp/VOL25/v25-7-1.zip

Research Statement

The quantification of TERRAIN knowledgeis a key factor in an attempt to characterizethe landscape, assess it's sensitivity tonatural hazards, support environmentalanalysis and planning in a changing world.Topography is the manifestation of diversedynamic processes that shape our planet(examples being landslides, volcanoes, watertable variability, flooding, glaciers melting,urban heat islands/heat waves, aridityperiods, wild fires, etc.). Processesmonitoring requires regularly repeatedacquisition of accurate, moderate to highresolution data for earth's relief (digitalelevation models-DEMs), landcover, andbiophysics (land surface temperature-LST,soil moisture, etc.). Quantification of

processes also requires a terrain partitionframework, which transforms the digitalrepresentation of the landscape toelementary objects. Physical processes arescale dependent and define variouscontinuous or discontinuous terrainpartition frameworks. A unified terrainpartition framework is impossible toachieve; instead various process dependentobject partition schemes are established.Three examples follow:

• The modeling of CORINElandcover/landuse partionalframework (Miliaresis 2006) thatallowed the mapping of susceptibilityof Corine classes to natural andenvironmental hazards.

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• Biomass estimate form active remotesensing sensors and the modeling ofthe effect of DTM and DSM mis-registration as a function of treecanopy density (Miliaresis andDelikaraoglou 2009).

• The automated segmentation ofurban landscape to elementaryobjects from LiDAR high resolutionDEMS providing a city partitionframework suitable for biophysicalparameters integration (Miliaresis &Kokkas,2007).

Currently BIOPHYSICAL DATA SETSare computed from the satellite-basedremotely sensed images with high temporalresolution at a moderate resolution scale,allowing the day and night monitoring ofearth’s surface. An example being theacquisitions from MODerate-resolutionImaging Spectroradiometer (MODIS) onboard the two EOS satellites, Terra andAqua. For example thermal imageryproducts are available on regular andfrequent basis for both land and oceans.Data availability stimulates the analysis ofthe long time series of multi-temporalimages in an attempt to closely monitorregions and provide information about thespatial and temporal changes intemperature. Towards this end, newmethods allowed the monitoring of terrainspatio-temporal thermal signature under acompletely new framework:

• Thermal invariant regions mapping inboth space and time from MODISLST imagery, Miliaresis (2009)

• A method for elevation, latitude, andlongitude decorrelation stretch ofmulti-temporal LST imageryMiliaresis (2012; 2013; 2014) and

revealing thermal anomalies acrossvast (continental scale) regions andallowing the monitoring of terrainspatio-temporal thermal signatureunder a completely new spatialframework.

In addition, diurnal temperaturerange (DTR) is a meteorological term thatrelates to the variation in temperature thatoccurs between day-time (maximum) andnight-time (minimum) daily temperatures.Daily temperature oscillation is greatest inthe planetary boundary layer, controlled bymany factors including: latitude, distancefrom the sea, land cover, elevation, climaticzone, humidity, soil moisture, atmosphericcirculation, clear skies, the intensity of solarradiation. The day and night temperatureoscillations are also controlled by thermalinertia (a measure of the subsurface's abilityto store heat during the day and re-emit itduring the night). Although spatialmodeling of DTR from meteorologicalstations can provide reliable estimates (Hill,2013), meteorological stations are often toosparse to make reliable estimates byinterpolation.

• MODIS near diurnal LST oscillations(day minus night LST) werecomputed per pixel for the 01:30(night) and 13:30 (day) local crossingtime passes of the Aqua satellite forthe year 2008 in Greece (Miliaresisand Tsatsaris, 2011) and the temporaland the spatial characteristics weremapped. These estimates do notrepresent the diurnal temperaturerange since 01:30 local time LST is notminimum while, 13:30 local time LSTis not maximum. Two more thermalimages for the 10:30 (day) and the22:30 (night) local crossing time

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passes of Terra satellite are acquireddaily.

• Miliaresis (2014) applied a newtechnique to all four daily MODISLST acquisitions from both the Aquaand the Terra satellites, in order toproduce a new multi-temporal LSTimage sequence that enhance andisolate the day and night LSTvariations in Greece. The enhancedimagery identified regions withdifferent day/night LST oscillationvariability, allowing environmentalterrain characterization in an attemptto support agriculture productivityand land cover studies in the contextof emerging climatic change.

Such efforts seek to betterunderstand the links between humanactivities (food supplies, agriculture, landuseplanning, etc.) and the variety of impacts ofclimate change. For example nighttemperatures are expected to increase at afaster rate than day temperatures due to lessradiant heat loss because of increasedcloudiness (Alward et al., 1999). Theduration of a crop growth cycle isconditioned by the daily temperaturesabsorbed by the plant. Therefore, anincrease in daily temperature will speed upplant development by reducing the durationbetween sowing and harvesting (Hertel etal., 2010). Thus, crop productivity may fallwith the shortening of a cycle. In additionhigh night temperature decreasesproduction by decreasing the photosyntheticfunction (Turnbull et al., 2002). It is quiteclear that the spatial modelling ofbiophysical data (landcover, LST, sea surfacetemperature-SST, biomass, tree canopydensity, aerosol optical thickness & particledensity, vegetation density, soil moisture,

etc.) is of great importance in assessingenvironmental change. Thus, a variety ofquantitative techniques has been developedto automate the extraction of terrainfeatures including segmentation,representation-classification while new dataanalysis/dat modelling techniques werederived and new applications of biophysicaldatasets are revealed. Key issues are thespatio-temporal monitoring ofenvironmental changes, the integration ofbiophysical parameters to terrain andgeographic objects in order to supportenvironmental analysis, decision support,planning, etc. My research efforts arefocused in the fields:

1. TERRAIN MODELING: Terrain segmentation, Terrain pattern recognition, Urban terrain object recognition, Digital terrain analysis,Terrain evaluation, Geomorphometry, Site selection, Landcover mapping, Landuse modeling, Antarctic terrain analysisFire risk, Flood hazard.

2. BIOPHYSICAL GEOSCIENCES: Thermal inertia mapping, Geothermal sensing, Bio-pattern analysis, Bio-physical terrain classification, Biopattern analysis, Natural hazards, Volcanic hazard/risk monitoring, Earthquakes biopattern modeling

3. ENVIRONMETRICS: Elevation latitude longitude decorrelation stretch, Diurnal oscillation enhancement, Selective variance reduction, Temporal frequency enhancement, Spatio-temporal processes modelling

4. CLIMATIC CHANGE

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MONITORING: Land Surface temperature, Sea Surface Temperature, Aerosol, Soil Moisture, Albedo, Vegetation Density

Future research plans:

1. Map "anomalies" from multi-temporal data in an attempt torecognise genetic physical processes.Temporal frequency enhancement ofbiophysical data & terrain bio-patterndefinition. Accuracy assessment ofbiophysical data sets. Environmetricsof man-made objects from highresolution terrain data (LiDAR) andbiophysical data-sets.

2. Integrate multidimensionalbiophysical data (diurnal LST cycle,aerosols, vegetation density, soilmoisture, wind assessments) in therepresentation of terrain features,landcover & landuse entities andman-made objects -AND SUPPORT-environmental decision making,planning, food security studies,

landcover/landuse modeling., etc.

3. Time dependent monitoring &modeling of biophysical processes inEastern Mediterranean Countries,Arabian Peninsula (Oman), Centraland South Africa (Botswana) throughthe integration of precipitation, LSTcycle, vegetation, aerosols, soilmoisture data-sets.

4. To decompose the spatio-temporalvariability of the geophysicalcomponent that might be evident inremotely sensed biophysical data sets(ground data will be used too fortesting and calibration purposes).Theunderlying theoretical basis is thatthe earth crust is constantly subjectto endogenic processes (stress fromtectonic plates motion, fluid motionsin earth mantle, chemical reactions,etc.) and exogenic processes (climatechange, etc., etc,) with magnitudethat vary in both space and time,RESULTING occasionally toearthquakes, volcanic activity etc.,etc.

Publications Books

1. Μηλιαρέσης Γ. 2006, ΕιδικέςΕφαρμογές στο ArcGIS. ΕκδόσειςΙΩΝ, 248 σελ. [ISBN: 960-411-560-x].

2. Μηλιαρέσης Γ. 2003, Φωτοερμηνεία-Τηλεπισκόπηση.Εκδόσεις ΙΩΝ, 243 σ. [ISBN:960-411-297-x].

3. Μηλιαρέσης Γ., 2003. Εργαστηριακές Ασκήσεις Φωτοερμηνείας-Τηλεπισκόπησης. Εκδόσεις ΙΩΝ, 114 σελ. [ISBN: 960-411-321-6].

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Journals in SCI with impact factor 1. Partsinevelos P., Nikolakaki N.,

Psillakis P., Miliaresis G. and Xanthakis M. 2015. Landcover change modeling through visualization and classification enhancement of multi-temporal imagery. Global NEST Journal, 17(2), 271-280

2. Miliaresis G., 2014. Daily TemperatureOscillation Enhancement of Multi-temporal LST Imagery. Photogrammetric Engineering & Remote Sensing 80(5)423-428 DOI: 10.14358/PERS.80.5.423

3. Miliaresis G., 2014, Spatiotemporal patterns of land surface temperature of Antarctica from MODIS Monthly LST data (MYD11C3). Journal of Spatial Science, 59(1)157-166 : DOI: 10.1080/14498596.2013.857382

4. Demertzi K, Papamichail D, Aschonitis V, Miliaresis G. 2014. Spatial and seasonal patterns of precipitation in greece: the terrain segmentation approach. Global NESTJournal, 16(5), 988-997

5. Miliaresis G., 2013. Terrain analysis for active tectonic zone characterization, a new application for MODIS night LST (MYD11C3) dataset. International Journal of Geographical Information Science,27(7):1417-1432 p., doi: 10.1080/13658816.2012.685172.

6. Miliaresis G., 2013. Thermal anomaly mapping from night MODIS imagery of USA, a tool for environmental assessment. Environmental Monitoring & Assessment 185(2):1601-1612, doi: 10.1007/s10661-

012-2654-5. 7. Miliaresis G., 2012. Elevation, latitude

and longitude decorrelation stretch of multi-temporal near-diurnal LST imagery. International Journal of Remote Sensing, 33(19):6020-6034, doi: 10.1080/01431161.2012.676690.

8. Miliaresis, G., 2012. Selective variance reduction of multi-temporal LST imagery in the East Africa Rift System.Earth Science Informatics 5(1):1-12 doi:10.1007/s12145-011-0091-6

9. Miliaresis G., 2012. Elevation, latitude/longitude decorrelation stretch of multi-temporal LST imagery. Photogrammetric Engineering & Remote Sensing, 78(2):151-160. doi: 10.14358/PERS.78.2.151

10. Miliaresis G., Tsatsaris A., 2011. Mapping the spatial and temporal pattern of day-night temperature difference in Greece from MODIS imagery. GIScience & Remote Sensing, 48(2):210-224, doi: 10.2747/1548-1603.48.2.210

11. Miliaresis G., Paraschou Ch.V., 2011. An evaluation of the accuracy of the ASTER GDEM and the role of stack number: A case study of Nisiros Island, Greece. Remote Sensing Letters 2(2):127-135 doi: 10.1080/01431161.2010.503667

12. Miliaresis G. and K.ST. Seymour, 2011. Mapping the spatial & temporal SST variations in Red Sea, revealing a probable regional geothermal anomaly from Pathfinder V5 data. Int. J. of Remote Sensing,

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32(07):1825-1842. doi: 10.1080/01431161003631568

13. Zouzias D., Miliaresis G., Seymour, K.ST., 2011, Interpretation of Nisyros Volcanic Terrain using Land Surface Parameters Generated from the ASTER Global DEM. Journal of Volcanology & Geothermal Research, 200(3-4):159-170. doi:10.1016/j.jvolgeores.2010.12.012

14. Zouzias D., Miliaresis G., Seymour, K.ST. 2011. Probable regional geothermal field reconnaissance in theAegean Region from modern multi-temporal night LST imagery. Environmental Earth Sciences, 62(4):717-723 doi:10.1007/s12665-010-0560-0

15. Miliaresis G., Partsinevelos P., 2010. Terrain Segmentation of Egypt from Multi-temporal Night LST Imagery and Elevation Data. Remote Sensing, 2(9):2083-2096. doi:10.3390/rs2092083

16. Miliaresis G. , Tsatsaris A., 2010. Thermal terrain modeling of spatial objects, a tool for environmental and climatic change assessment. Environmental Monitoring & Assessment, 164(1-4):561-572 doi:10.1007/s10661-009-0913-x

17. Miliaresis G. , Ventura G., Vilardo G., 2009. Terrain modeling of the complexvolcanic terrain of Ischia Island (Italy). Canadian Journal of Remote Sensing. 35(4):385-398, doi: 10.1007/s10661-008-0237-2

18. Miliaresis G., 2009. Regional thermal and terrain modeling of the Afar Depression from multi-temporal nightLST data. Int. J. of Remote Sensing,

30(9):2429–2446, doi:10.1080/01431160802562271

19. Miliaresis G., Delikaraoglou D., 2009. Effects of Percent Tree Canopy Density and DEM Mis-registration to SRTM/NED Vegetation Height Estimates. Remote Sensing. 1(2):36-49 doi:10.3390/rs1020036

20. Miliaresis G., 2009. The terrain signatures of administrative units: a tool for environmental assessment. Environmental Monitoring & Assessment, 150(1-4):386-396. doi:10.1007/s10661-008-0237-2

21. Miliaresis G., 2008. The Landcover Impact on the Aspect/Slope Accuracy Dependence of the SRTM-1 Elevation Data for the Humboldt Range. Sensors, 8(5):3134-3149. doi:10.3390/s8053134.

22. Miliaresis G., 2007. An upland object based modeling of the vertical accuracy of the SRTM-1 elevation dataset. Journal of Spatial Sciences,52(1):13-29.

23. Miliaresis G., Kokkas N. 2007. Segmentation & Object Based Classification for the Extraction of theBuilding Class from LIDAR DEMs. Computers & Geosciences, 33(8):1076-1087. doi:10.1016/j.cageo.2006.11.012

24. Miliaresis G., 2006. Geomorphometricmapping of Asia Minor from Globe DEM. Geografiska Annaler 88A (3):209-221. doi:10.1111/j.1468-0459.2006.00296.x

25. Miliaresis G., Paraschou Ch., 2005. Vertical accuracy of the SRTM DTED Level 1 of Crete. Int. J. of Applied Earth Observation &

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GeoInformation 7(1):49-59. doi:10.1016/j.jag.2004.12.001

26. Miliaresis G., Illiopoulou P. 2004. Clustering of Zagros Ranges from the Globe DEM representation. Int. Journal of Applied Earth Observation & GeoInformation, 5 (1):17-28. doi: 10.1016/j.jag.2003.08.001.

27. Miliaresis G., Kokkas N. 2004. Segmentation and terrain modeling of extra-terrestrial chasmata. Journal of Spatial Sciences, 49(2): 89-99

28. Miliaresis, G. Ch., Argialas, D.P. 2002. Quantitative Representation of Mountain Objects Extracted from the GTOPO30 DEM. Int. Journal of Remote Sensing, 23(5):949-964. doi:10.1080/01431160110070690

29. Miliaresis, G.Ch., 2001. Extraction of Bajadas from DEMs & Satellite

Imagery. Computers & Geosciences 27(10):1157-1167. doi: 10.1016/S0098-3004(01)00032-2

30. Miliaresis, G. Ch., 2001. Geomorphometric Mapping of Zagros Ranges at Regional Scale. Computers& Geosciences, 27(7):775-786. doi: 10.1016/S0098-3004(00)00168-0

31. Miliaresis, G.Ch., and D.P. Argialas, 2000. Extraction & Delineation of Alluvial Fans from DΕΜs & Landsat TM Images. Photogrammetric Engineering & Remote Sensing, 66(9):1093-1101. doi: 0099-1112/00/6609-109

32. Miliaresis, G. Ch., and D.P. Argialas, 1999. Segmentation of Physiographic Features from the Global Digital Elevation Model/GTOPO30. Computers & Geosciences, 25(7):715-728. doi:10.1016/S0098-3004(99)00025-4

Journals not included in SCI-no impact factor 1. Miliaresis G., 2014. Global LST Anomaly Mapping from MODIS Night Imagery.

Malaysian Journal of Remote Sensing & GIS, 3(1), 1-9. DOI: 10.6084/m9.figshare.1004819

2. Tsatsaris A. & Miliaresis G. 2011. Spatial correlation of Tuberculosis (TB) incidents to the MODIS LST biophysical signature of African countries. Int. Journal of Environmental Protection, 1(1), 49-57. DOI: 10.6084/m9.figshare.1004831

3. Miliaresis G, Sabatakakis N, Koukis G, 2005.Terrain pattern recognition & spatial decision for regional slope stability studies. Natural Resources Research, 14(2):91-100. DOI: 10.1007/s11053-005-6951-3

Chapters in edited volumes 1. Miliaresis G. 2009. Biophysical Terrain Analysis. In: Environmental Cost

Management [Randi Taylor Mancuso, Editor, ISBN:978-1-60741-815-3. ]. Nova SciencePublishers , New York, Chapter 7, pp. 255-273.

2. Miliaresis G., 2008. Quantification of Terrain Processes. Lecture Notes in Geoinformation & Chartography (LNG&C),XIV,13-28. [DOI: 10.1007/978-3-540-77800-

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4_2] (In:Advances in digital terrain analysis, Springer, Editors: Qiming Zhou, Brian Lees,Guo-an Tang, ISBN 978-3-540-77799-1, 462 p.)

3. Argialas, D.P., and G.CH. Miliaresis, 2001. Human factors in the Interpretation of Physiography by Symbolic and Numerical Representations within an Expert System. In «Interpreting Remote Sensing Imagery: Human factors» by R. R. Hoffman and A. B. Markman (Eds), 304 p., ISBN:1566704138. Lewis Publishers - CRC PRESS , New York, Chapter 3, pp. 59-81. DOI: 10.1201/978 1420032819.sec2

Editorials, Review articles, Book reviews 1. Grohmann C., & Miliaresis G., 2013. EDITORIAL for the special issue:Digital

terrain analysis and modelling / Geological applications of digital terrain analysis. Int. Journal of Geographical Information Science, 27(7):1403-1404. DOI: 10.1080/13658816.2013.772617

2. Miliaresis G., 2013. Book Review in Photogrammetric Engineering & Remote Sensing, vol. 79, no 8, pp. 685) Jakob Van Zyl and Yunjin Kim, 2012. Synthetic Aperture Radar Polarimetry. JPL Space Science & Technology Series. John Wiley & Sons, New Jersey, 288 p.] DOI: 10.6084/m9.figshare.1004842

3. Miliaresis G., 2012. Monitoring of Environmental Processes and Natural Resources Using Satellites. Horizons, Sultan Qaboos University, Issue 253, Nov. 10th,, pp. 5. DOI:10.6084/m9.figshare.1004841

4. Miliaresis G., 2011. Book Review in Photogrammetric Engineering & Remote Sensing, published in May 2011, p. 453 [Timothy L. Nyerges & Piotr Jankowski 2009. Regional & Urban GIS: A decision support approach. Guilford Press, ISBN 978-1-60623-906-3] DOI: 10.6084/m9.figshare.1004843

Conferences 1. Tsekme Eleni and George Ch.

Miliaresis, 2015. Terrain, landcover & landuse evaluation of Cyprus from modern multi-temporal biophysical imagery. 3 Rd International Conference on Remote Sensing & Geoinformation of the Environment, 16-19 March 2015, Pafos, Cyprus.

2. Partsinevellos P., Miliaresis, G., 2014. Ship extraction and categorization from ASTER VNIR imagery. Proc. SPIE 9229, 2nd Int. Conference on Remote Sensing & Geoinformationof Environment,(RSCy2014), 92291Y

(7-10 April , Pafos, Cyprus); 5 pages, doi:10.1117/12.2069202

3. D. Skarlatos, G. Miliaresis, A. Georgiou, 2013. Investigation of Cyprus thermal tenancy using nine year MODIS LST data and Fourier analysis [8795-47]. Proc. SPIE 8795, 1st

International Conference on Remote Sensing & Geoinformationof the Environment (RSCy2013), 879501 (Paphos-Cyprus, August 14, 2013); 9 pages, DOI: 10.1117/12.2041580

4. Papasotirakopoulos S., Miliaresis G., Tsatsaris A., 2010. Thermal modelling

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of Africa from multi-temporal MODISLSΤ imagery. 20th ESRI Users Conf., 1-3 Nov., Athens, 6 p. DOI: 10.6084/m9.figshare.1004880

5. Partsinevelos P. Miliaresis G., 2009. Spatiotemporal filtering of multi-temporal images: application on MODIS sea surface temperature imagery. 5th Int. Workshop on the Analysis of Multi-temporal Remote Sensing Images. Mystic, Connecticut, 28-30/07, 377-384. DOI: http://dx.doi.org/10.6084/m9.figshare.1004805

6. Miliaresis G. 2008. Monitoring/Impact of Wild Fires of the August 2007 in the Mountain Region of Ilia Prefecture from Web Spatial Databases. GI & Earth Observation for the Sustainable Development, International Centre forIntegrated Mountain Development (ICIMOD), 14 - 25 Jan., 8 p. DOI: 10.6084/m9.figshare.1004651

7. Miliaresis G., 2007. Delineation & Representation of Linear Megadunes from CSI-SRTM DEM. GeoComputation, Session 1A: Remote Sensing. National University of Ireland, Maynooth, 3-5 Sept., 5 p. DOI: 10.6084/m9.figshare.1004647

8. Miliaresis G. and Basoukos K., 2007. Landslides susceptibility of barren class objects from modern imagery. Conference on Environmental Management, Engineering, Planning and Economics, Skiathos, June 24-28, 2145-2150. DOI: 10.6084/m9.figshare.1004645

9. Miliaresis 2007. Segmentation of multi-temporal earthquake imagery for the detection of geophysical

related geothermal activity. 4th Int. Workshop on the Analysis of Multi-Temporal Images, July 18-20, 2007, Leuven, Belgium, 6 p. DOI: 10.1109/multitemp.2007.4293071

10. Miliaresis G. 2006. Terrain modelling for specific geomorphologic processing (keynote speaker presentation). Int. Symposium on Terrain Analysis and Digital Terrain Modelling, Nanjing, China, 23-25 November 2006, 10 p. DOI: 10.6084/m9.figshare.1004644

11. Miliaresis G. and Kokkas N., 2006. Geomorphometric segmentation applied to the city modeling problem. Int. Symposium on Terrain Analysis & Digital Terrain Modelling, China (Nanjing), 23-25 Nov. 2006, 12 p. DOI: 10.6084/m9.figshare.1004643

12. Miliaresis G., 2006. Geometric and landcover signatures of local authorities in Peloponnesus. Int. Conf.on Energy, Environment, Ecosystems & Sustainable Development, WSEAS, Athens, July 11-13, 128-133. DOI: 10.6084/m9.figshare.1004646

13. Blasco F., Bellan M.F.,Barbaroussi B., Miliaresis G., 2004. Ground truth by the use of orthophotos in IKONOS image processing. Int. Archieves of Photogrammetry, Remote Sensing & GIS , XXXV,417-421. DOI: 10.6084/m9.figshare.1004638

14. Kokkas N., Miliaresis G., 2004. Geomorphometric Mapping of Grand Canyon from the 1o DEM. Int. Arc. of Photogrammetry, Remote Sensing & GIS,XXXV, 406-411. DOI: 10.6084/m9.figshare.1004791

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15. Rodopoulos J., & Miliaresis G., 2004. Geomorphometric description of cluter maps. ASPRS Annual Conf., Anchorage, Alaska, May, 5-9, 399-403.DOI: 10.6084/m9.figshare.1004642

16. Miliaresis G., Kokkas N., 2003. The geomophometric signature of Valles Marineris from M.O.L.A. DEM. ASPRS Annual Conf., Anchorage, Alaska, May 5-9, 122-130 DOI: 10.6084/m9.figshare.1004636

17. Panagou Th., Miliaresis G., 2003. Evaluating the thematic information content of ASTER (VNIR) imagery in urban areas by classification techniques. Int. Archieves of Photogrammetry, Remote Sensing & Spatial Information Science, XXXIV-7/W9,263-267 DOI: 10.6084/m9.figshare.1004639

18. Miliaresis, G. & Paraschou Ch., 2002. The Globe DEM Parameterization of the mountain features of Minor Asia. ASPRS Annual Conf.,April 19-26, Washington DC, 8 p. DOI: 10.6084/m9.figshare.1004635

19. Miliaresis G.Ch., 2002. Characterizing landscape dynamics by general & specific geomorphometric techniques. WEGENER Int. Ass. of Geodesy, Athens 12-14/6, 12 p. DOI: 10.6084/m9.figshare.1004637

20. Miliaresis G., Paraschou C. 2001. A feature based accuracy evaluation of GTOPO30. Remote Sensing & Photogrammetry Society Conf., 12-14/09, London, 203-213 DOI: 10.6084/m9.figshare.1004672

21. Miliaresis, G.Ch., 2001. Automated Segmentation of Bajadas from 15-minute-DEMs and Landsat TM

imagery. ASPRS Annual Conf., St. Louis, Missouri, April, 23-27, 8 p. DOI:10.6084/m9.figshare.1004673

22. Miliaresis, G. Ch., 2000. Landscape Characterization of Zargos Ranges. 26th Conf. of the Remote Sensing Society, University of Leicester, 12-14th of September. 8 p. DOI: 10.6084/m9.figshare.1004671

23. Miliaresis, G. Ch., 2000. The DEM to Mountain Transformation of Zagros Ranges. 5th Int. Conf. on Geocomputation, University of Greenwich, 23-25th of August, 8 p. DOI: 10.6084/m9.figshare.1004669

24. Argialas, D.P., and G.CH. Miliaresis, 2000. Physiographic Region Interpretation: Formalization With Rule Based Structures and Object Hierarchies. Int. Archives of Photogrammetry & Remote Sensing, July 19-23th, 2000, Amsterdam, The Netherlands, Vol. XXXIII, Part B4, 91-98 DOI: 10.6084/m9.figshare.1004670

25. Miliaresis, G.Ch., 1999. Automated Segmentation of Alluvial Fans to Regions of High to Intermediate Flood Hazard from Landsat Thematic Maper Imagery. 2nd Int. Symposium Operationalization of Remote Sensing, ITC Enschede, 16-20 August. 6 p. DOI: 10.6084/m9.figshare.1004664

26. Miliaresis, G.Ch. and D.P. Argialas, 1999. Fuzzy Pattern Recognition of Compressional Mountain Ranges in Iran.Proceedings, 5th Int. Conf. of the Ass. forMathematical Geology, Trondheim, August 6, 227-232. DOI: 10.6084/m9.figshare.1004667

27. Miliaresis, G.Ch., 1999. A Region GrowingAlgorithm for the Segmentation of

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Alluvial Fans from DEMs. 1st Symposium on Imaging Applications in Geology, Liege, 6-7/05, 189–192. DOI: 10.6084/m9.figshare.1004663

28. Miliaresis, G. Ch. and D.P. Argialas, 1999.Formalization of the Photo-Interpretation Process by a Fuzzy Set Representation of Mountain Objects. 25th Conf. of the Remote Sensing Society, Cardiff, Sept. 8 – 10, 745-750. DOI: 10.6084/m9.figshare.1004666

29. Miliaresis, G.Ch. and D.P. Argialas, 1998. Parametric Representation and Classification Of Mountain Objects Extracted From Moderate Resolution DEMs. Int. Conf. of the Ass. for Mathematical Geology, Ispra (Italy), October 5 – 9, 892-897. DOI: 10.6084/m9.figshare.1004661

30. Miliaresis, G.Ch. and D.P. Argialas, 1998. Physiographic Feature Extraction From Moderate Resolution Digital Elevation Data. 24th Conf. of the Remote Sensing

Society, Greenwich, Sept. 9–11, 545-551. DOI: 10.6084/m9.figshare.1004665

31. Argialas, D.P., and G.CH. Miliaresis, 1997. An Object Oriented Representation Model For The Landforms Of An Arid Climate Intermontane Basin. 23rd Conf. of the Remote Sensing Society, Reading, Sept. 2–4, 199-205. DOI: 10.6084/m9.figshare.1004659

32. Argialas, D.P., and G.CH. Miliaresis, 1997. Landform Spatial Knowledge Acquisition: Identification, Conceptualization and Representation. ACSM/ASPRS, Seattle-Washington, April 7-10, 733-740. DOI: 10.6084/m9.figshare.1004660

33. Argialas, D.P., and G.CH. Miliaresis, 1996. Physiographic Knowledge Acquisition: Identification, Conceptualization and Representation. ACSM/ASPRS, Baltimore-Maryland, April 22-25, 311-320. DOI: 10.6084/m9.figshare.1004662

Posters & Abstracts in International Conferences

1. Partsinevelos P., N. Nikolakaki, P. Psillakis, G. Miliaresis, M. Xanthakis, 2014. Reducing satellite imagery classification uncertainty through spatiotemporal reasoning. European Geosciences Union, General Assembly, [NP1.3 (Uncertainty & Sensitivity Analysis in Geosciences ): EGU2014-15356 ], Vienna, Austria, 27 April – 02 May. DOI: 10.6084/m9.figshare.1004812

2. Miliaresis G., Tselentis G., 2009.The spatial pattern of the temporal SST variations during the 2004 Indian Ocean Earthquake. Int. Workshop on Validation of Earthquake Precursors by Satellite, Terrestrial & other Observations (VESTO), case studies of the recent Asian events. Chiba University, Tokyo,March 26-28,[ Poster] DOI: 10.6084/m9.figshare.1004813

3. Zouzias Dimitrios, St Seymour Karen, Miliaresis George, Vamvoukakis Costas (2008). Circumstantial Evidence of Possible Hot Spot Activity Outside Rhodes, Eastern MediterraneanSea. 3rd International Conference on the Geology of the Tethys (8-11 January, 2008, South Valley University - Aswan). DOI: 10.6084/m9.figshare.1004649

4. Veizi I., N. Tsiougou, C. Kouki, D. Matsa, G. Tsiougos, N. Lakafosis, M. Zarras, G. Miliaresis, etal. 2007. Anthropogenetic intensity, a new indicator to measure coastal man-made volume,

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case study: Navpaktos -Aetolia-Acarnania, Greece.Perspectives of GI for Integrated Coastal Management, ECOImagine, Genoa,21-23 Nov.[ Poster] DOI: 10.6084/m9.figshare.1004814

5. Miliaresis G., Sabatakakis N., Koukis G., 2004. Terrain segmentation & parameterization for regional slope stability studies. European GeoSciences Union, 1st General assembly (Copernicus), Nice, France, 25-30 April. DOI: 10.6084/m9.figshare.1004815

6. Miliaresis G.Ch., 2000. Segmentation of Alluvial Aprons from the USGS DEMs with Spacing 2-Arc Seconds. RGS-IBG, Session on Surface Modelling, Sussex, 4-7 Jan. DOI: 10.6084/m9.figshare.1004816

Journals in GREEK1. Μηλιαρέσης Γ., 2003. Αξιολόγηση των περιοχών εκπαίδευσης στην επιβλεπόμενη

ταξινόμηση δορυφορικών εικόνων. Δελτίο της Γ.Υ.Σ., Αρ. Τεύχους 151, 179-190 DOI: 10.6084/m9.figshare.1004849

2. Μηλιαρέσης Γ.2001.Εντοπισμός ορεινών αντικειμένων στην φυσιογραφική ενότητα ZagrosRanges/Ιράν. Δελτίο της Ελληνικής Γεωλογικής Εταιρείας, ΧΧΧΙV(5) 2017-2023. DOI: 10.6084/m9.figshare.1004867

Conferences in GREEK 1. Μηλιαρέσης Γ., 2005. Προσομοίωση σε συνθετικές εικόνες για την ανάδειξη και

προστασία του φυσικού περιβάλλοντος των ορεινών όγκων. «Περιβάλλον & Ανάπτυξη στον Ορεινό Χώρο». 5ο διεθνές συνέδριο του Ιδρύματος Κεφαλονιάς & Ιθάκης, 17-19/6 Αργοστόλι, 8 σ. DOI: 10.6084/m9.figshare.1004875

2. Μηλιαρέσης Γ, & Παράσχου Χ., 2004. Υψομετρική ακρίβεια του ψηφιακού υψομετρικού μοντέλου SRTM. 1ο Παν. Συνέδριο Αγρ. Τοπ. Μηχ. Αθήνα, Μάιος 24-26, 9 σ. DOI: 10.6084/m9.figshare.1004872

3. Μηλιαρέσης Γ., Πεκαλης Δ., Πέκαλη Β., 2004. Εντοπισμός πλοίων από δορυφορικές εικόνες Aster για την προστασία του θαλάσσιου περιβάλλοντος της Ηπείρου. 4o Συνέδριο: "Η Ολοκληρωμένη Ανάπτυξη της Ηπείρου", 23-26 Σεπτ., ΜE.KE.ΔΕ. (Μέτσοβο), 7 σ. DOI: 10.6084/m9.figshare.1004878

4. Μηλιαρέσης Γ. & Αργιαλάς Δ. 2002. Εντοπισμός Αλλουβιακών Ριπιδίων από Ψηφιακά Υψομετρικά Μοντέλα Εδάφους. 6ο Πανελλήνιο Γεωγραφικό Συνέδριο, Θεσσαλονίκη 3-6 Οκτωβρίου, 187-192. DOI: 10.6084/m9.figshare.1004873

5. Μηλιαρέσης Γ., & Αργιαλάς Δ., 2001. Παραμετρική αναπαράσταση ορεινών αντικειμένων από το μέτριας διακριτικής ικανότητας ψηφιακό υψομετρικό μοντέλο GTOPO30. 3ο Διεπιστημονικό Διαπανεπιστημιακό Συνέδριο, ΜΕ.ΚΕ.Δ.Ε., Μετσόβο, 7-10 Ιουνίου, 14 σελ.DOI: 10.6084/m9.figshare.1004870

6. Αργιαλάς Δ., & Μηλιαρέσης Γ., 2001. Τυποποίηση της φωτοερμηνευτικής γνώσης για την ερμηνεία γεωμορφών σε φυσιογραφική κλίμακα. 3ο Διεπιστημονικό Διαπανεπιστημιακό Συνέδριο, ΜΕ.ΚΕ.Δ.Ε., Μετσόβο, 7-10 Ιουνίου, 12 σ. DOI: 10.6084/m9.figshare.1004871

7. Μηλιαρέσης Γ. και Δ. Αργιαλάς, 1999. Εντοπισμός ορεινών όγκων από μέτριας διακριτικής

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ικανότητας υψομετρικά δεδομένα. 5ο Παν. Γεωγραφικό Συνέδριο, Αθήνα 11-13/11, 308-317. DOI: 10.6084/m9.figshare.1004869

8. Αργιαλας Δ. και Μηλιαρέσης Γ., 1999. Τυποποίηση Χωρικών Συμφραζομένων σε Βάσεις Γνώσης. 5ο Πανελλήνιο Γεωγραφικό Συνέδριο, Αθήνα 11-13/11, 352-360. DOI: 10.6084/m9.figshare.1004874

Abstracts & Posters in GREEK 1. Μηλιαρέσης Γ., 2008. Βιοφυσική Ανάλυση Πεδίου από Σύγχρονα Συστήματα

Τηλεπισκόπησης (προσκεκλημένος ομιλητής). ΗΜΕΡΙΔΑ του Δ.Π.Μ.Σ. Ηλεκτρονικη & Επεξεργασια Της Πληροφοριας, 27/6, Τμήμα Φυσικής [abstract] DOI: 10.6084/m9.figshare.1004877

2. Μηλιαρέσης Γ., 2007. Ετήσια σεισμικά χωρο-χρονικά πρότυπα για την ταυτοποίηση γεωφυσικής θερμικής ρύπανσης από δορυφορικές εικόνες (προσκεκλημένος ομιλητής). Δι-Ημερίδα: Τηλεπισκόπηση & εφαρμογές, ΤΕΕ, ΓΕΩΤΕΕ, ΕΕΦΤ, 22-23/2, ΕΜΠ [abstract] DOI: 10.6084/m9.figshare.1004879

3. Μηλιαρέσης Γ., 2007. Περιβαλλοντική ευαισθητοποίηση με τεχνικές τηλεπισκόπησης και γεωγραφικών συστημάτων πληροφοριών (προσκεκλημένος ομιλητής). Σεμινάριο Περιβαλλοντικής Εκπαίδευσης , Τμήμα Βιολογίας, Παν/μio Πατρών, 9/12/2007 [abstract]DOI:10.13140/2.1.4361.2966

4. Μηλιαρέσης Γ., 2007. Αξιολόγηση χωρικών αντικειμένων, εκτίμηση ζωνών επικινδυνότητας, χωροθέτηση αντιπλημμυρικών (προσκεκλημένος ομιλητής). Συντονιστικό Νομαρχιακό Όργανο, Νομαρχιακή Αυτοδιοίκηση Ηλείας, Πύργος, 8-9-2007,DOI:10.13140/2.1.5147.7283

5. Μηλιαρέσης Γ. 2006. Βιοφυσική Χαρτογράφηση από Σύγχρονα Συστήματα Τηλεπισκόπησης και Σύνθεση Περιβαλλοντικών Γεωγραφικών Βάσεων Δεδομένων (προσκεκλημένος ομιλητής). 4η Ημερίδα Μεταπτυχιακών Φοιτητών του Τμήματος Βιολογίας, 7-12-2006. Παν/μίο Πατρών. DOI: 10.6084/m9.figshare.1004876

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