58 6. Abbreviations
ET Evapotranspiration
GIS Geographic Information Systems GM Gitelson and Merzlyak
GNDVI Green Normalized Difference Vegetation Index GPS Global Positioning Systems
LAI Leaf Area Index
LGIS Linear Gradient Irrigation System
MCARI Modified Chlorophyll Absorption in Reflectance Index MSAVI2 Modified Soil-Adjusted Vegetation Index
NDVI Normalized Difference Vegetation Index NDWI Normalized Difference Water Index NIR Near Infrared
NPCI Normalized Pigment Chlorophyll Index OSAVI Optimized Soil-Adjusted Vegetation Index PA Precision Agriculture
PC Precision Conservation
PRI Photochemical Reflectance Index PTM Precision Turfgrass Management RVI Ratio Vegetation Index
SIPI Structure Intensive Pigment Index SR Simple Ratio
TCARI Transformed Chlorophyll Absorption in Reflectance Index WI Water Index
WV2 WorldView-2 YI Yellowness Index ZM Zarco-Tejada & Miller
59 7. References
AGATI, G., FOSCHI L., GROSSI N., GUGLIELMINETTI L., CEROVIC Z.G. and VOLTERRANI M. 2013: Fluorescence-based versus reflectance proximal sensing of nitrogen content in Paspalum vaginatum and Zoysia matrella turfgrasses. Europ. J. of Agr. 45: 39–51.
AGUILAR, M. A., SALDANA M.M. and AGUILAR F.J. 2013. GeoEye-1 and WorldView-2 pan-sharpened imagery for object-based classification in urban environments. Int. J. Remote Sens., 34(7), 2583–2606.
BAÑUELOS, J.B., WALWORTH J.L., BROWN P.W. and KOPEC D.M. 2011. Deficit irrigation of seashore paspalum and bermudagrass. Agron. J., 103: 1567- 1577.
BAUSCH,W.C. and KHOSLA R. 2010. Quickbird satellite versus ground-based multispectral data correlations for estimating nitrogen status of irrigated maize. Precis. Agric., 11: 274-290.
BELL, G.E., HOWELL B.M., JOHNSON G.V., RAUN W.R., SOLIE J.B. and STONE
M.L. 2004: Optical sensing of turfgrass chlorophyll content and tissue nitrogen. HortSci., 39(5): 1130-1132.
BELL, G.E. and XIONG X. 2008: The history, role, and potential of optical sensing for practical turf management. In P. Pessaraki (Ed.), Handbook of turfgrass management and physiology (pp. 641–660). Boca Raton, FL: CRC Press.
BELL,G.E.,MARTIN D.L.,KOH K.andHAN H.R.2009. Comparison of turfgrass visual quality ratings with ratings determined using a handheld optical sensor. HortTechn., 19(2): 309-316.
BLACKBURN, G.A. 1998. Spectral indices for estimating photosynthetic pigment concentrations: a test using senescent tree leaves. Int. J. Remote Sens., 19(4): 657-675.
BREMNER, J.M. 1965, Total nitrogen. In C. A. Black (ed.), Methods of soil analysis, part 2. Agron. Monogr. no. 9. American Society of Agronomy, Madison, WI, USA, pp. 1149-1178.
BREMER, D.J., LEE H., SU K. and. KEELEY S.J. 2011. Relationships between normalized difference vegetation index and visual quality in cool-season turfgrass: II. Factors Affecting NDVI and its Component Reflectances. Crop Sci., 51: 2219–2227
60 CARROW,R.N.1996. Drought avoidance characteristics of diverse Tall fescue
cultivars. Crop Sci., 36: 371-377
CARROW,R.N.,WADDINGTON D.V.,RIEKE P.E.2001. Turfgrass Soil fertility and Chemical Problems-Assessment and Management. Ann Arbor Press.; 400 pp.
CARROW, R.N., KRUM J.M., FLITCROFT I. and CLINE V. 2010: Precision turfgrass management: challenges and field applications for mapping turfgrass soil and stress. Precision Agric., 11: 115–134.
CATUREGLI, L., LULLI F., FOSCHI L., GUGLIELMINETTI L., BONARI E. and VOLTERRANI M.2014a. Monitoring turfgrass species and cultivars by spectral reflectance. Eur. J. Hortic. Sci., 79(3): 97–107.
CATUREGLI, L, LULLI F., FOSCHI L., GUGLIELMINETTI L., BONARI E. and VOLTERRANI M. 2014b. Turfgrass spectral reflectance: simulating satellite monitoring of spectral signatures of main C3 and C4 species. Precis. Agric., DOI :10.1007/s11119-014-9376-3.
CHO, M.A. and SKIDMORE A.K. 2006. A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method.
Remote Sens. Environ., 101(2): 181–193.
CHONG, K.Y., TEO S., KURUKULASURIYA B., CHUNG Y.F., RAJATHURAI S., and TAN H.T.W. 2014. Not all green is as good: Different effects of the natural and cultivated components of urban vegetation on bird and butterfly diversity. Biol. Conserv., 171: 299-309.
COSTAT MANUAL. 2008. Version 6.400, Copyright © 1998-2008 CoHort Software.
CROCE, P., DE LUCA A., MOCIONI M., VOLTERRANI M. and BEARD J.B. 2004.
Adaptability of warmseason turfgrass species and cultivars in a Mediterranean climate. Acta Hort., 661: 365-368.
DAMIANI, C.R., VOLTERRANI M., LERCARI S., STEFANINI S., ALPI A., and GUGLIELMINETTI L. 2004. Comparative study on fructan accumulation ability in seventeen tall fescue varieties. Acta Hort., 661: 217-225.
DARVISHSEFAT, A.A., ABBASI M. and SCHAEPMAN M.E. 2011. Evaluation of spectral reflectance of seven Iranian rice varieties canopies. J. of Agric. Sci.
and Techn., 13: 1091-1104.
61 DAUGHTRY, C.S.T., WALTHALL C.L., KIM M.S. and BROWN DE COLSTOUN E.
2000. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sens. Environ., 74: 229-239.
DETTMAN-KRUSE, J.K., CHRISTIANS N.E. and CHAPLIN M.H. 2008. Predicting soil water content through remote sensing of vegetative characteristics in a turfgrass system. Crop Sci., 48: 763-770.
DORDAS,C.2008. Role of nutrients in controlling plant diseases in sustainable agriculture. A review. Agron. Sustain. Dev., 28: 33-46.
EUROPEAN ENVIRONMENT AGENCY (2009). EEA Report n. 2/2009. Water resources across Europe. http://www.eea.europa.eu/publications/water-resources- across-europe/download (last checked 08/10/2013).
EUROPEAN COMMISSION (2007). Water Scarcity And Droughts, Second Interim Report (June 2007). DG Environment, European Commission.
http://ec.europa.eu/environment/water/quantity/pdf/comm_droughts/2nd_int_report.pdf (last checked 08/10/2013).
EUROPEAN COMMISSION (2009). Directive 2009/128/EC of the European Parliament and of the Council of 21 October 2009, establishing a framework for Community action to achieve the sustainable use of pesticides.
http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2009:309:0071:0086:en:PDF (last checked 08/10/2013).
EUROPEAN COMMISSION (2010). Europe 2020 Flagship Initiative - Innovation Union.
http://ec.europa.eu/research/innovation-union/pdf/innovation-union-communication_en.pdf (last checked 08/10/2013).
EUROPEAN COMMISSION (2011a). Roadmap to a Resource Efficient Europe.
http://ec.europa.eu/environment/resource_efficiency/pdf/com2011_571.pdf (last checked 08/10/2013).
EUROPEAN COMMISSION (2011b). Innovation for a sustainable Future - The Eco-innovation Action Plan (Eco-AP).
http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=COM:2011:0899:FIN:EN:PDF (last checked 08/10/2013).
EUROPEAN COMMISSION (2012a). European Innovation Partnership Water - Strategic Implementation Plan.
http://ec.europa.eu/environment/water/innovationpartnership/pdf/sip.pdf (last checked 08/10/2013).
EUROPEAN COMMISSION (2012b). Smart Cities and Communities - European Innovation Partnership.
62
http://ec.europa.eu/energy/technology/initiatives/doc/2012_4701_smart_cities_en.pdf (last checked 08/10/2013).
FINKE, P.A. 1992. Integration of remote sensing data in the simulation of spatially variable yeld of potatoes. Soil Techn., 5: 257-270.
FOSCHI,F., VOLTERRANI M.,GROSSI N.and MIELE S. 2009. Monitoring relative water content in turf with canopy spectral reflectance. Int. Turfgrass Soc.
Res. J., 11: 765-778.
GITELSON, A.A. and MERZLYAK M.N. 1996. Signature analysis of leaf reflectance spectra: algorithm development for remote sensing of chlorophyll. J. of Plant Phys., 148: 494-500.
GOVAERTS, B. and VERHULST N. 2010. The normalized difference vegetation index (NDVI) GreenseekerTM handheld sensor: toward the integrated evaluation of crop management. Part A-Concepts and case studies.
http://plantstress.com/methods/Greenseeker.PDF (visited: March, 2014).
GROSSI, N., VOLTERRANI M., MAGNI S., and MIELE S. 2004. Tall fescue turf quality and soccer playing characteristics as affected by mowing height.
Acta Hort., 661: 319-322 .
HABOUDANE, D., MILLER J.R., TREMBLAY N., ZARCO-TEJADA P.J., DEXTRAZE L., 2002. Integration of hyperspectral vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sens.
Environ., 81(2-3): 416-426.
HANKS,R.J., KELLER J., RASMUSSEN V.P. andWILSON G.D. 1976. Line source sprinkler for continuous variable irrigation-crop production studies. Soil. Sci.
Soc. Am. J., 40: 426-429.
HARGREAVES, G.H. and SAMANI Z.A. 1982. Estimating potential evapotranspiration. J. Irrig. Drain. E-Asce, 108(3): 225-230.
HARGREAVES,G.H.andSAMANI Z.A.1985. Reference crop evapotranspiration from temperature. Appl. Eng. Agric., 1(2): 96-99.
HESTER, D.B., CAKIR H.I., NELSON S.A., and KHORRAM S. 2008. Per-pixel classification of high spatial resolution satellite imagery for urban land-cover mapping. Photogramm. Eng. Rem. S., 74(4): 463-471.
HUANG, B. and GAO. H. 1999. Physiological responses of diverse tall fescue cultivars to drought stress. HortSci., 34: 897-901.
HUANG, B. and GAO. H. 2000. Root physiological characteristics associated with drought resistance in tall fescue cultivars. Crop Sci., 40: 196-203.
63 HUANG, W., HU J., LU T., CHEN W. and HE X. 2011. Monitoring urban turf quality using very high resolution satellite imagery. 19th International Conference on Geoinformatics, pp. 1-7.
IMMITZER,M.,ATZBERGER C.andKOUKAL T.2012. Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView- 2 Satellite Data. Remote Sens., 4(9): 2661-2693.
INOUE, Y.,PEÑUELAS J., MIYATA A.and MANO M.2008. Normalized difference spectral indices for estimating photosynthetic efficiency and capacity at a canopy scale derived from hyperspectral and CO2 flux measurements in rice. Remote Sens. Environ., 112: 156–172.
JIANG, Y. and CARROW R.N. 2007. Broadband spectral reflectance models of turfgrass species and cultivars to drought stress. Crop Sci., 47: 1611–1618.
KRUM, J. H., CARROW R.N. and KARNOK K. 2010. Spatial mapping of complex turfgrass sites: Site-specific management units and protocols. Crop Sci., 50:
301-315.
LEE, H. 2008. Estimation of visual quality and canopy characteristics of turfgrass using spectral reflectance and digital imagery. Kansas State University, Manhattan, Kansas, USA.
LI, Y., DEMETRIADES-SHAH T.H., KANEMASU E.T., SHULTIS J.K. and KIRKHAM
M.B. 1993. Use of second derivatives of canopy reflectance for monitoring prairie vegetation over different soil backgrounds. Remote Sens. Environ., 44: 81-87.
Li-Cor, I. 1992. LAI-2000 plant canopy analyzer instruction manual. LI-COR Inc., Lincoln, Nebraska, USA.
LULLI, F., VOLTERRANI M., GROSSI N., ARMENI R., STEFANINI S. and GUGLIELMINETTI L.2012. Physiological and morphological factors influencing wear resistance and recovery in C3 and C4 turfgrass species. Funct. Plant Biol., 39(3): 214-221.
MACOLINO, S., SERENA M., LEINAUER B. and ZILIOTTO U. 2010. Preliminary finding on the correlation between water-soluble carbohydrate content in stolons and first year green-up of seeded bermudagrass cultivars.
HortTechn., 20: 758-763.
64 MCFEETERS, S.K. 1996. The use of the normalized difference water index (NDWI) in the delineation of open water features. Int. J. Remote Sens., 17(7): 1425-1432.
MCFEETERS,S.K.2013. Using the Normalized Difference Water Index (NDWI) within a geographic information system to detect swimming pools for mosquito abatement: A practical approach. Remote Sens., 5(7): 3544-3561.
MEER, F.V.D. and DE JONG S.M. 2006. Imaging spectrometry for agriculture applications. In: Imaging spectrometry: Basic principal and prospective application, (Eds.) Clevers, J. G. P. W. and R. Jongschaap (pp.157-197).
Dordrecht, Netherlands : Springer.
MORRIS, K.N. and SHEARMAN R.C. 2006. NTEP turfgrass evaluation guidelines. Online. http://www.ntep.org. (last access: March 2014).
MULLA, D.J. 2013. Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps. Biosyst. Eng., 114(4): 358-371.
MUNDEN, R., CURRAN P.J. and CATT J.A. 1994. The relationship between red edge and chlorophyll concentration in the broadbalk winter wheat experiment at Rothamsted. Int. J. Remote Sens., 15: 705-709.
NAGENDRA,H.,LUCAS R.,HONRADO J.P.,JONGMAN R.H.,TARANTINO C.,ADAMO
M., and MAIROTA P. 2013. Remote sensing for conservation monitoring:
assessing protected areas, habitat extent, habitat condition, species diversity, and threats. Ecol. Indic., 33: 45-59.
OGTR (Office of the Gene Technology Regulator), 2008. The Biology of Lolium multiflorum Lam. (Italian ryegrass), Lolium perenne L. (perennial ryegrass) and Lolium arundinaceum (Schreb.) Darbysh. (tall fescue).
Australian Government Office of the Gene Technology Regulator.; 83 pp.
PEÑUELAS, J., FILELLA I. andBARRET F.1995. Semi-empirical indices to assess carotenoids/chlorophyll a ratio from leaf spectral reflectance.
Photosynthetica, 31(2): 221–230.
PEÑUELAS, J., FILLELLA I., SERRANO L. and SAVÉ R. 1996. Cell wall elasticity and water index (R970 nm/R900 nm) in wheat under different nitrogen availabilities. Int. J. Remote Sens., 17: 373-382.
65 PEÑUELAS J.,PINOL J.,OGAYA R.andFILELLA I.1997. Estimation of plant water concentration by the reflectance Water Index WI (R900/R970). Int. J. Remote Sens., 18(13): 2869-2875.
PERRY, E.M., and DAVENPORT, J.R. 2007. Spectral and spatial differences in response of vegetation indices to nitrogen treatments on apple. Comput.
Electron. Agric., 59(1): 56-65.
PETERS, E.B. and MCFADDEN J.P. 2010. Influence of seasonality and vegetation type on suburban microclimates. Urban ecosystems, 13(4): 443- 460.
POMPEIANO, A., GROSSI N., and VOLTERRANI M. 2012. Vegetative establishment rate and stolon growth characteristics of 10 Zoysiagrasses in Southern Europe. HortTechn., 22: 114-120.
QI,J., CHEHBOUNI A., HUETE A.R. and KERR Y.H. 1994. Modified Soil Adjusted Vegetation Index (MSAVI). Remote Sens. Environ., 48: 119-126.
QIAN, Y.L. and ENGELKE M.C. 1999. Performance of five turfgrasses under linear gradient irrigation. HortSci., 34(5): 893-896.
QIAN,Y.L.,FRY J.D.andUPHAM W.S.1997. Rooting and drought avoidance of warm-season turfgrasses and tall fescue in Kansas. Crop Sci., 37: 905-910 RAMÍREZ-HERRERA, M.T., and NAVARRETE-PACHECO J.A. 2013. Satellite data
for a rapid assessment of tsunami inundation areas after the 2011 Tohoku tsunami. Pure Appl. Geophys., 170(6-8): 1067-1080.
RESOP, J.P., CUNDIFF J.S. and HEATWOLE C.D. 2011. Spatial analysis to site satellite storage locations for herbaceous biomass in the piedmont of the southeast. Appl. Engin. in Agric., 27(1): 25- 32.
ROBINS,J.G. 2010. Cool-season grasses produce more total biomass across the growing season than do warm-season grasses when managed with an applied irrigation gradient. Biomass Bioenerg., 34: 500-505.
RONDEAUX, G., STEVEN M. and BARRET F.1996. Optimization of soil-adjusted vegetation indices. Remote Sens. Environ., 55, 95-107.
ROUSE, J.W., HAAS R.H., SCHELL J.A., DEERING D.W. and HARLAN J.C. 1974.
Monitoring the vernal advancements and retrogradation of natural vegetation. NASA/GSFC Final Report (371 pp.). MD, USA Greenbelt.
66 SAMBORSKI,S.M., TREMBLAY N., and FALLON E.2009. Strategies to make use of plant sensors-based diagnostic information for nitrogen recommendations. Agron. J., 101(4): 800-816.
STOWELL, L. and GELERNTER W. 2006. Sensing the future. Golf Course Manage, 74(3), 107–110.
TAGHVAEIAN, S., CHÁVEZ J.L., HATTENDORF M.J. and CROOKSTON M.A. 2013.
Optical and thermal remote sensing of turfgrass quality, water stress, and water use under different soil and irrigation treatments. Remote Sens., 5(5):
2327-2347.
THENKABAIL, P.S., ENCLONA E.A., ASHTON M.S. and MEER B.V.D. 2004.
Accuracy assessments of hyperspectral waveband performance for vegetation analysis applications. Remote Sens. of Environ., 91, 354–376.
THOMAS, N.,HENDRIX C., and CONGALTON R.G. 2003. A comparison of urban mapping methods using high-resolution digital imagery. Photogramm. Eng.
Rem. S., 69(9): 963-972.
TRENHOLM, L.E., CARROW R.N. and DUNCAN R.R. 1999. Relationship of multispectral radiometry data to qualitative data in turfgrass research. Crop Sci., 39(3): 763-769.
TRENHOLM,L.E.,SCLOSSBERG G.,LEE G.andPARKS W.2000. An evaluation of multi-spectral responses on selected turfgrass species. Int. J. Remote Sens., 21(4): 709-721.
Trimble GreenSeeker handheld crop sensor,
http://www.trimble.com/Agriculture/gs-handheld.aspx (visited March 2014).
UPADHYAY,P.,KUMA,A.,RO,P.S.,GHOS,S.K..and GILBERT I. 2012. Effect on specific crop mapping using WorldView-2 multispectral add-on bands: soft classification approach. J. Appl. Remote Sens., 6(1): 063524-1.
VINA, A., GITELSON A.A., NGUY-ROBERTSON A.L. and PENG Y. 2011.
Comparison of different vegetation indices for the remote assessment of green leaf area index of crops. Remote Sens. Environ., 115, 3468–3478.
VOLTERRANI, M. and MAGNI S. 2004. Species and growing media for sports turfs in Mediterranean area. Acta Hort., 661: 359-364.
VOLTERRANI,M.,GROSSI N.,GAETANI M.,andPOMPEIANO A.2010. Zoysiagrass cultivar establishment rate and turf quality in central Italy. Acta Hort., 881:
313-316.
67 WALTERS, D.R., and BINGHAM I.J. 2007. Influence of nutrition on disease development caused by fungal pathogens: implications for plant disease control. Ann. Appl. Biol., 151(3): 307-324.
XIONG, X., BELL G.E., SOLIE J.B., SMITH M.W., and MARTIN B. 2007.
Bermudagrass seasonal responses to nitrogen fertilization and irrigation detected using optical sensing. Crop Sci., 47(4): 1603-1610.
XU, H. 2006. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int. J. Remote Sens., 27(14): 3025-3033.
YANG, C., EVERITT J.H., DU Q., LUO B., and CHANUSSOT J. 2013. Using high- resolution airborne and satellite imagery to assess crop growth and yield variability for precision agriculture. Proceedings of the IEEE, 101(3), pp.
582-592.
ZARCO-TEJADA, P.J., BERJÓN A. and MILLER J.R. 2004. Stress detection in crops with hyperspectral remote sensing and physical simulation models.
http://www.researchgate.net/publication/39612409 (last access: August 2014).
68 Peer-review papers in international journals
1. Caturegli, L., Lulli F., Foschi L., Guglielminetti L., Bonari E., &
Volterrani M. (2014). Monitoring turfgrass species and cultivars by spectral reflectance. European Journal of Horticultural Science, 79(3), 97–107.
2. Caturegli, L:, Lulli F., Foschi L., Guglielminetti L., Bonari E. &
Volterrani M. (2014). Turfgrass spectral reflectance: simulating satellite monitoring of spectral signatures of main C3 and C4 species. Precision Agriculture DOI :10.1007/s11119-014-9376-3.
3. Grossi N., Magni S., de Bertoldi C., Lulli F., Gaetani M., Caturegli L., Volterrani M., Croce P., Mocioni M. & De Luca A. (2014).
Establishment and winter management of MiniVerde bermudagrass for putting greens in Italy. European Journal of Turfgrass Science, 45, (2):
67-68.
4. Magni S., Gaetani M., Caturegli L., Leto C., Tuttolomondo T., La Bella S., Virga G., N. Ntoulas & Volterrani M. (2014) Phenotypic traits and establishment speed of forty four turf bermudagrass accessions. Acta Agriculturae Scandinavica, 64:722-733.
5. Magni S., Gaetani M., Grossi N., Caturegli L., La Bella S., Leto C., Virga G., Tuttolomondo T., Lulli F. & Volterrani M. (2014).
Bermudagrass adaptation in the Mediterranean climate: phenotypic traits of 44 accessions. Adv. Hort. Sci., 28(1): 29-34.
6. Pompeiano A., Caturegli L., Grossi N., Volterrani M. & Guglielminetti L. (2014). Carbohydrate Metabolism during wintering period in zoysiagrass genotypes. Plant Production Science, 18(1): 43-51.
Papers in international journals accepted for publication
7. Caturegli L., Grossi N., Saltari M., Gaetani M., Magni S., Bonari E.&
Volterrani M. (2014). Spectral reflectance of tall fescue (Festuca arundinacea schreb.) under different irrigation and nitrogen conditions.
Accepted for publication on Agriculture and Agricultural Sciences Procedia.
8. Caturegli L., Casucci M., Lulli F., Grossi N., Gaetani M., Magni S., Bonari E. & Volterrani M. (2014). GeoEye-1 satellite versus ground-
69 based multispectral data for estimating nitrogen status of turfgrasses.
Accepted for publication on International Journal of Remote Sensing.
Peer-review papers in national journals
9. Volterrani M., Guglielminetti L., Magni S., Gaetani M., Caturegli L., Grossi N. & Lulli F. (2011).Vitalità post-espianto dei meristemi intercalari di Gramigna Ibrida da tappeto erboso. XL Convegno della Società Italiana di Agronomia, Teramo 7-9 settembre 2011, 126-127.
ISBN 9788 8902 27936
10. Lulli F.,Volterrani M., Grossi1 N., Gaetani M., Magni S., Caturegli L. &
Armeni R. (2011). Resistenza meccanica allo sforzo di taglio negli stoloni delle specie C4 da tappeto erboso. XL Convegno della Società Italiana di Agronomia, Teramo 7-9 settembre 2011, 220-221. ISBN 9788 8902 2793
Peer-review communications in international conferences
1. 06-09/07/2014 European Conference: 4th European Turfgrass Conference: ETS (European Turfgrass Society), Osnabrück, Germany:
Caturegli, L., Lulli, F., Foschi, L., Guglielminetti, L., Bonari, E., &
Volterrani, M. Monitoring turfgrass species and cultivars by spectral reflectance. European Journal of Horticultural Science 2014, 79(3), 97–107.
2. 26-28/11/2014 International Symposium: The Effects of Irrigation and Drainage on Rural and Urban Landscapes (IRLA 2014), Patras, Greece: Caturegli, L., Grossi N., Saltari M., Gaetani M., Magni S., Bonari E. & Volterrani M. (2014). Spectral reflectance of tall fescue (Festuca arundinacea schreb.) under different irrigation and nitrogen conditions. Agriculture and Agricultural Sciences Procedia.
