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Remote Sensing in Forest Management

References [1] Badgley, G.; Field, C.B.; Berry, J.A. Canopy near-infrared reflectance and terrestrial photosynthesis. Sci. Adv. 2017, 3, e1602244 [2] C. B. Field, J. T. Randerson, C. M. Malmstrom, Global net primary production: Combiningecology and remote sensing.Remote Sens. Environ.51,74–88 (1995) [3] Ciubotaru, A., Exploatareapădurilor , ed. Lux Libris, 1998 [4] C. S. Potter, J. T. Randerson, C. B. Field, P. A. Matson, P. M. Vitousek, H. A. Mooney,S. A. Klooster, Terrestrial ecosystem production: A process model based on global

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Remote sensing using unmanned aerial vehicles for tourist-recreation lake evaluation and development

późn. zm.), Strejczek-Jaźwińska P., Wężyk P., Zięba-Kulawik K., Jaźwiński J. 2018. Wstępne wyniki badań z wykorzystania bezzałogowych statków powietrznych BSP (UAV) w monitoringu chomika europejskiego ( Cricetus cricetus ). Poszerzamy Horyzonty 9: 360–370. Wójtowicz M., Wójtowicz A., Piekarczyk, J. 2016. Application of Remote Sensing Methods in Agriculture. Communications in Biometry and Crop Science 11(1): 31–50. Zawiła-Niedźwiecki T., 2010. Teledetekcja i fotogrametria obszarów leśnych. In: Geomatyka w Lasach Państwowych. Część I. Podstawy

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Biotope mapping of extensive/intensive grassland supported by Remote Sensing and Mobile GIS in Eastern Styria (Austria)

References Amt der Steiermärkischen Landesregierung (2008). Biotoptypen - Katalog der Steiermark. Amt der Steiermärkischen Landesregierung Fachabteilung 13C Naturschutz. Angold, P.G., Gurnell, A.M. & Edwards P.J. (1996). Locational errors in maps from environmental surveys and their implications for information extraction. J.Environ. Manag., 47, 341−354. Bock, M. (2003). Remote sensing and GIS-based techniques for the classification and monitoring of biotopes. J. Nat.Conserv., 11, 145-155. http

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ICA-ASIFT-Based Multi-Temporal Matching of High-Resolution Remote Sensing Urban Images

References 1. Yin, S. W. A Linear Feature-Based Image Rectification Method for HD Remote Sensing Images. - Geomatics Technology and Equipment, Vol. 9, 2007, No 2, pp. 3-5. 2. Smith, S. M., J. M. Brady. SUSAN-A New Approach to Low Level Image Processing. - International Journal of Computer Vision, Vol. 23, 1997, No 1, pp. 45-78. 3. Harris, C. J., M. Stephen. A Combined Corner and Edge Detector. - In: Proc. of 4th Alvey Vision Conference, Manchester, United Kingdom, 1988. 4. Bay, H., A. Ess, T

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Possibilities of the Practical Application of Remote Sensing Data in Real Property Appraisal

References BENDIG J., BOLTEN A., BARETH G., 2012, Introducing a low-cost mini-UAV For thermal- and multispectralimaging”, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v.XXXIX-B1. CHUVIECO E., 1989, Application of remote sensing and geographic information systems to forest fire hazard mapping, Remote Sensing of Environment, v.29(2), pp.147-159. DĄBROWSKI R., ORYCH A., WALCZYKOWSKI P., 2010 Ocena możliwości wykorzystania wysokorozdzielczych zobrazowań satelitarnych

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The Remote Sensing Method of Forest Fire Danger Rating Categorization

made by the Polish Minister of Environmental Protection, Natural Resources and Forestry, regarding detailed guidelines for forest fire prevention, Dziennik Ustaw [Daily Regulations Report] no. 73 [entry 824; in Polish]. [5] Polish State Forests, Yearly Report 2002 ( www.lp.gov.pl ). [6] Zawiła-Niedźwiecki T., 1999, The use of remote sensing in forest fire protection in Poland, Proceedings of Conference on Remote Sensing and Forest Monitoring , Rogów.

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Error simulations of uncorrected NDVI and DCVI during remote sensing measurements from UAS

, Fundamentals of imaging, remote sensing method for assessing the state of vegetation and verification of its usefulness in environmental studies, Bachelor thesis on University of Warsaw. Chiliński, M 2012, Improvement of Data Acquiring in LNDVI Method and Comparison of it’s Results with Hyperspectral Spectrometer Measurements, Master thesis on University of Warsaw. Chrysoulakis, N, Abrams, M, Feidas, H & Arai, K 2010, ‘Comparison of atmospheric correction methods using ASTER data for the area of Crete, Greece’, International Journal Of Remote

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Application of remote sensing techniques for the identification of biotic stress in plum trees caused by the Plum pox virus

-483. D unez J., S utic D., 1988. Plum pox virus. In: European Handbook of Plant Diseases. I.M. Smith, J. Dunez, R.A. Eliot, D.H. Phillips and S.A. Arches (eds), Blackwell, Oxford, UK: 44-46. K rezhova D., 2011. Spectral remote sensing of the responses of soybean plants to environmental stresses, In: Soybean – Genetics and Novel Techniques for Yield Enhancement, Chapter 11. D. Krezhova (ed), Tech Publisher: 215-256. K rezhova D.D., P etrov N.M., M aneva S.N., 2012. Hyperspectral remote sensing applications for monitoring and stress detection in

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Remote Sensing Methods in the Identification of Oil Contaminations / Možnosti Využití Vybraných Metod Dpz Pro Identifikaci Ropných Kontaminací (Starých Ekologických Zátěží)

References [1] DAWSON, T.P., CURRAN, P.J.: A new Technique for Interpolating the Reflectance Red Edge Position, International Journal of Remote Sensing, vol.19, str. 2133-2139 [2] HOEHN, P.; LARSGAARD, M.L.: Dictionary of Abbreviations and Acronyms in Geographic Information Systems, Cartography, and Remote Sensing, http://www.lib.berkeley.edu/EART/abbrev.html#h, 16.03.2008 [3] HÖRIG, B. et al.: HyMap hyperspectral remote sensing to detect hydrocarbons, International Journal of Remote Sensing, 2001, vol.22, No.8

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Methodological and Technological Foundations of Remote Sensing Monitoring and Modelling of Natural and Technological Objects

. [19] B. Roy, Multi-criteria Methodology for Decision Aiding. Kluwer Academic Pulisher, Dordreeht. 1996. [20] R. A. Schowengerdt. Remote Sensing: Models and Methods for Image Processing. Technosphera, 2010. [21] M. Djovanni, Ten key approaches for the high spatial resolution Remote Sensing data. Moscow, Russia, 2013. [22] L.I. Chapursky, The reflective properties of natural objects in the spectral band 400-2500 nm. Part 1. Leningrad. Ministry of Defense, USSR, 1986. [23] B.V. Vinogradov, Aerospace

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