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GIS TOOLS FOR FOREST PRODUCTION OPTIMIZATION IN MOUNTAINOUS AREAS: THE SLOPE PROJECT
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References26
EEA Report No 6/2010. Europe's ecological backbone: recognizing the true value of our mountains.
Global Forest resource assessment. FAO: Food and Agriculture Organization of the United States report. 2010. http://www.fao.org/docrep/013/i1757e/i1757e.pdf
McCloy R. K., Resource Management Information Systems: Process and Practices. 1995.
Günther Oliver. , Environmental information systems. Newsletter ACM SIGMOD Record, Vol. 26 Issue 1, pp 3-4.New York (1997)
Wing M., Bettinger P., Geographic information systems: Applications in natural resource management. Oxford University Press (2008).
David P. Paine, James D. Kiser., Aerial Photography and Image Interpretation. Wiley.
Lillesand T., Kiefer, Remote Sensing and Image Interpretation. J.Wiley & Sons Ltd, Chichester (2004).
Hetemäki N., Information Technology and the Forest Sector. IUFRO World Series, Vol. 18. Vienna (2005).
Lewis J. L., Sheppard R., Sutherland K., Computer-based visualization of forest management: A primer for resource managers, communities, and educators. Journal of Ecosystems and Management, pp. 5-13. (2005)
Simões, B., De Amicis, R. , User-friendly interfaces for Web GIS. The 2011 World Congress in Computer Science, Computer Engineering, and Applied Computing.
Zyda M, Sheehan J., Modelling and simulation: Linking entertainment and defence. National Research Council (1997).
Wang X., Song B., Chen J., Zheng D., Crow T. R., Visualizing forest landscapes using public data sources. Landscape and urban planning. 2006.
Myneni, R. B., F. G. Hall, P.J. Sellers, A.L. Marshak, The interpretation of spectral vegetation indexes, IEEE Transactions on Geoscience and Remote Sensing, 33, 481- 486. (1995) International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org
EEA Report No 6/2010. Europe's ecological backbone: recognizing the true value of our mountains.
Global Forest resource assessment. FAO: Food and Agriculture Organization of the United States report. 2010. http://www.fao.org/docrep/013/i1757e/i1757e.pdf
McCloy R. K., Resource Management Information Systems: Process and Practices. 1995.
Günther Oliver. , Environmental information systems. Newsletter ACM SIGMOD Record, Vol. 26 Issue 1, pp 3-4.New York (1997)
Wing M., Bettinger P., Geographic information systems: Applications in natural resource management. Oxford University Press (2008).
David P. Paine, James D. Kiser., Aerial Photography and Image Interpretation. Wiley.
Lillesand T., Kiefer, Remote Sensing and Image Interpretation. J.Wiley & Sons Ltd, Chichester (2004).
Hetemäki N., Information Technology and the Forest Sector. IUFRO World Series, Vol. 18. Vienna (2005).
Lewis J. L., Sheppard R., Sutherland K., Computer-based visualization of forest management: A primer for resource managers, communities, and educators. Journal of Ecosystems and Management, pp. 5-13. (2005)
Simões, B., De Amicis, R. , User-friendly interfaces for Web GIS. The 2011 World Congress in Computer Science, Computer Engineering, and Applied Computing.
Zyda M, Sheehan J., Modelling and simulation: Linking entertainment and defence. National Research Council (1997).
Wang X., Song B., Chen J., Zheng D., Crow T. R., Visualizing forest landscapes using public data sources. Landscape and urban planning. 2006.
Myneni, R. B., F. G. Hall, P.J. Sellers, A.L. Marshak, The interpretation of spectral vegetation indexes, IEEE Transactions on Geoscience and Remote Sensing, 33, 481- 486. (1995) International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org
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