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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 satellite and surface data

Research and Development Centre, Bandung. [12] Faridah, S. A. N., Krisbiantoro, A. 2014. Land Surface Temperature Distribution Analysis in Potential Area of Geothermal Using Remote Sensing Techniques on Mount Lamongan, Tiris. Berkala Fisika, 17(2), 67–72. [13] Darge, Y. M., Hailu, B. T., Muluneh, A. A., Kidane, T. 2019. Detection of Geothermal Anomalies Using Landsat 8 TIRS Data in Tulu Moye Geothermal Prospect, Main Ethiopian Rift. International Journal Applied Earth Observation and Geoinformation, 74, 16–26. [14] Wright, J., Lillesand, T. M., Kiefer, R. W. 1980. Remote

Introduction The development of new technologies has made it possible to carry out both field and chamber scientific research in a way that until recently seemed impossible, as well as provide measurement methods to assess the geographical environment from an entirely different perspective. This revolution in remote sensing research is especially enabled by the relatively new ability to perform measurements using unmanned aerial vehicles. Unmanned Aerial Vehicles (UAVs), commonly known as drones and according to the European Commission recommendations Remotely

References [1] DAWSON, T.P., CURRAN, P.J.: A new Technique for Interpolating the Reflectance Red Edge Position, International Journal of Remote Sensing [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 [4] JIAHONG, L. et al.: Image processing of airborne shortwave infrared split

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://www.urbanfischer.de/journals/jnc Bock, M., Xogis, P. Mitchley, J

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. Tuytelaars et al. Speeded-Up Robust Features (SURF). - Computer Vision

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 w rozpoznaniu obrazowym”, Archiwum Fotogrametrii

References Anderson, G, Clough, S, Kneizys, F, Chetwynd, J & Shettle, E 1986, ‘AFGL atmospheric constituent profiles (0-120 km)’, Tech. Rep. AFGL-TR-86-0110, Air Force Geophys. Lab., Hanscom Air Force Base, Bedford, Mass. Burgheimer, J, Wilske, B, Maseyk, K, Karnieli, A, Zaady, E, Yakir, D & Kesselmeier, J 2006, ‘Relationships between Normalized Difference Vegetation Index (NDVI) and carbon fluxes of biologic soil crusts assessed by ground measurements’, J. Arid Environ, vol. 64, pp. 651-669. Chiliński, M 2010, Fundamentals of imaging, remote sensing method for

Géographie de Lyon” Vol. 41, no. 4, pp. 303−338. Bernstein L.S., Adler-Golden S,. M. Sundberg R.L., 2005, Validation of the QUick Atmospheric Correction (QUAC) algorithm for VNIR-SWIR multi-and hyperspectral imagery . “SPIE Proceedings, ATMHUI” XI, Vol. 5806, pp. 668−678. Bernstein L.S., Adler-Golden S.M., Sundberg R.L., Ratkowski A., 2006, Improved reflectance retrieval from hyper- and multispectral imagery without prior scene or sensor information . “SPIE Proceedings, Remote Sensing of Clouds and the Atmosphere” XI, Vol. 6362. Boudy P., 1948, North African Forest

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.