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A MODERN APPROACH IN DATA UPDATING FOR A VINEYARD AGRO-SYSTEM MODERNIZATION
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References18
Neitzel, F., 2011. Mobile 3D Mapping with a Low-cost UAV System. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Zurich, Switzerland, Vol. XXXVIII-1/C22. Tampubolon, W., Hendrayana, E., 2012.
Rosnell, T.; Honkavaara, E. Point cloud generation from aerial image data acquired by a quadrocopter type micro unmanned aerial vehicle and a digital still camera. Sensors 2012, pp.453 –480.
Wheaton, J.M.; Brasington, J.; Darby, S.E.; Sear, D.A. Accounting for uncertainty in DEMs from repeat topographic surveys: Improved sediment budgets. Earth Surf. Process. Landf. 2010, 35, pp. 136–156.
Brown, D., 1971. Close-range camera calibration. Photogrammetric Engineering 37(8), pp. 855 –866.
Eisenbeiss, H., 2009. UAV Photogrammetry. PhD thesis, ETH Zurich, Switzerland. DISS. ETH NO. 18515, DOI: 10.3929/ethza-005939264, pp. 2 35.
van Blyenburgh, P., 2011. Unmanned aircraft systems - The global perspective 2011/2012. UVS International, Paris, France, pp. 151– 216.
Zhang, C. and Kovacs, J., 2012, The application of small unammed aerial systems for precision agriculture: a review. Precision Agriculture 13, pp. 693 -712
Zufferey, J-C., Beyeler A. and Floreano D., 2010.Autonomous flight at low altitude using light sensors and little computational power. International Journal of Micro Air Vehicles, vol. 2, num. 2, pp. 107-117
Watts, A.C., Ambrosia, V.G., Hinkley, E.A., 2012. Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use. Remote Sensing. 4(6), pp. 1671 – 1692. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org
Neitzel, F., 2011. Mobile 3D Mapping with a Low-cost UAV System. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Zurich, Switzerland, Vol. XXXVIII-1/C22. Tampubolon, W., Hendrayana, E., 2012.
Rosnell, T.; Honkavaara, E. Point cloud generation from aerial image data acquired by a quadrocopter type micro unmanned aerial vehicle and a digital still camera. Sensors 2012, pp.453 –480.
Wheaton, J.M.; Brasington, J.; Darby, S.E.; Sear, D.A. Accounting for uncertainty in DEMs from repeat topographic surveys: Improved sediment budgets. Earth Surf. Process. Landf. 2010, 35, pp. 136–156.
Brown, D., 1971. Close-range camera calibration. Photogrammetric Engineering 37(8), pp. 855 –866.
Eisenbeiss, H., 2009. UAV Photogrammetry. PhD thesis, ETH Zurich, Switzerland. DISS. ETH NO. 18515, DOI: 10.3929/ethza-005939264, pp. 2 35.
van Blyenburgh, P., 2011. Unmanned aircraft systems - The global perspective 2011/2012. UVS International, Paris, France, pp. 151– 216.
Zhang, C. and Kovacs, J., 2012, The application of small unammed aerial systems for precision agriculture: a review. Precision Agriculture 13, pp. 693 -712
Zufferey, J-C., Beyeler A. and Floreano D., 2010.Autonomous flight at low altitude using light sensors and little computational power. International Journal of Micro Air Vehicles, vol. 2, num. 2, pp. 107-117
Watts, A.C., Ambrosia, V.G., Hinkley, E.A., 2012. Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use. Remote Sensing. 4(6), pp. 1671 – 1692. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org
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