Aakala Tuomas, Kuuluvainen Timo, Wallenius Tuomo, Kauhanen Heikki (2011): Tree mortality episodes in the intact Picea abies-dominated taiga in the Arkhangelsk region of northern European Russia. Journal of Vegetation Science, 22, 322-333 https://doi.org/10.1111/j.1654-1103.2010.01253.xAllen Richard G., Clemmens Albert J., Burt Charles M., Solomon Ken, O’Halloran Tim (2005): Prediction Accuracy for Projectwide Evapotranspiration Using Crop Coefficients and Reference Evapotranspiration. Journal of Irrigation and Drainage Engineering, 131, 24-36 https://doi.org/10.1061/(ASCE)0733-9437(2005)131:1(24)Assal Timothy J., Anderson Patrick J., Sibold Jason (2016): Spatial and temporal trends of drought effects in a heterogeneous semi-arid forest ecosystem. Forest Ecology and Management, 365, 137-151 https://doi.org/10.1016/j.foreco.2016.01.017Baig Muhammad Hasan Ali, Zhang Lifu, Shuai Tong, Tong Qingxi (2014): Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance. Remote Sensing Letters, 5, 423-431 https://doi.org/10.1080/2150704X.2014.915434 Bonneau L.R., Shields K.S., Civco D.L. (1999): Using satellite images to classify and analyze the health of hemlock forests infested by the hemlock woolly adelgid. Biological Invasions, 1: 255–267.https://doi.org/10.1023/A:1010021629127 Cohen W.B. (1995): Response of vegetation indices to changes in three measures of leaf water stress. Photogrammetric Engineering and Remote Sensing, 57: 195–202. Crist E.P., Cicone R.C. (1984): Application of the tasseled cap concept to simulated thematic mapper data. Photogrammetric Engineering and Remote Sensing, 50: 343–352.Hansen J., Ruedy R., Sato M., Lo K. (2010): GLOBAL SURFACE TEMPERATURE CHANGE. Reviews of Geophysics, 48, - https://doi.org/10.1029/2010RG000345Hartmann Henrik, Ziegler Waldemar, Kolle Olaf, Trumbore Susan (2013): Thirst beats hunger - declining hydration during drought prevents carbon starvation in Norway spruce saplings. New Phytologist, 200, 340-349 https://doi.org/10.1111/nph.12331HEALEY S, COHEN W, ZHIQIANG Y, KRANKINA O (2005): Comparison of Tasseled Cap-based Landsat data structures for use in forest disturbance detection. Remote Sensing of Environment, 97, 301-310 https://doi.org/10.1016/j.rse.2005.05.009Hlásny Tomáš, Barka Ivan, Sitková Zuzana, Bucha Tomáš, Konôpka Milan, Lukáč Martin (2015): MODIS-based vegetation index has sufficient sensitivity to indicate stand-level intra-seasonal climatic stress in oak and beech forests. Annals of Forest Science, 72, 109-125 https://doi.org/10.1007/s13595-014-0404-2Huang C., Wylie B., Yang L., Homer C., Zylstra G. (2010): Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance. International Journal of Remote Sensing, 23, 1741-1748 https://doi.org/10.1080/01431160110106113Jin Suming, Sader Steven A. (2005): Comparison of time series tasseled cap wetness and the normalized difference moisture index in detecting forest disturbances. Remote Sensing of Environment, 94, 364-372 https://doi.org/10.1016/j.rse.2004.10.012 Kauth R.J., Thomas G.S. (1976): The tasseled cap – a graphic description of the spectral-temporal development of agricultural crops as seen in Landsat. In: Swain P. H.: Proceedings of the Symposium on Machine Processing of Remotely Sensed Data, West Lafayette, June 29–July 1, 1976: 41–51.Kennedy Robert E, Andréfouët Serge, Cohen Warren B, Gómez Cristina, Griffiths Patrick, Hais Martin, Healey Sean P, Helmer Eileen H, Hostert Patrick, Lyons Mitchell B, Meigs Garrett W, Pflugmacher Dirk, Phinn Stuart R, Powell Scott L, Scarth Peter, Sen Susmita, Schroeder Todd A, Schneider Annemarie, Sonnenschein Ruth, Vogelmann James E, Wulder Michael A, Zhu Zhe (2014): Bringing an ecological view of change to Landsat-based remote sensing. Frontiers in Ecology and the Environment, 12, 339-346 https://doi.org/10.1890/130066Lambert N. J., Ardo J., Rock B. N., VOGELMANN J. E. (2007): Spectral characterization and regression-based classification of forest damage in Norway spruce stands in the Czech Republic using Landsat Thematic Mapper data. International Journal of Remote Sensing, 16, 1261-1287 https://doi.org/10.1080/01431169508954476 Lubojacký J. (2013): Škodliví činitelé v lesích Moravskoslezského kraje v letech 2002–2012. Lesnická práce, 92: 366–367. McDowell N., Pockman W.T., Allen C.D., Breshears D.D., Cobb N., Kolb T., Plaut J., Sperry J., West A., Williams D.G., Yepez E.A. (2008): Mechanisms of plant survival and mortality during drought: Why do some plants survive while others succumb to drought? New Phytologist, 178: 719–739. McKee T.B., Doesken N.J., Kleist J. (1993): The relationship of drought frequency and duration to time scales. In: 8th Conference on Applied Climatology, Boston, Jan 17–23, 1993: 179–184.Nicolai-Shaw Nadine, Zscheischler Jakob, Hirschi Martin, Gudmundsson Lukas, Seneviratne Sonia I. (2017): A drought event composite analysis using satellite remote-sensing based soil moisture. Remote Sensing of Environment, 203, 216-225 https://doi.org/10.1016/j.rse.2017.06.014Norman Steven P., Koch Frank H., Hargrove William W. (2016): Review of broad-scale drought monitoring of forests: Toward an integrated data mining approach. Forest Ecology and Management, 380, 346-358 https://doi.org/10.1016/j.foreco.2016.06.027 Palmer W.C. (1965): Meteorological Droughts. Research Paper No. 45. Washington, D.C., U.S. Department of Commerce, Weather Bureau: 58. Rock B.N., Williams D.L., Vogelmann J.E. (1985): Field and airborne spectral characterization of suspected acid deposition damage in red spruce (Picea rubens) from Vermont. In: Proceedings: Symposia on Machine Processing of Remotely Sensed Data, West Lafayette, June 25–27, 1985: 71–81.Sandholt Inge, Rasmussen Kjeld, Andersen Jens (2002): A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment, 79, 213-224 https://doi.org/10.1016/S0034-4257(01)00274-7Skakun Robert S., Wulder Michael A., Franklin Steven E. (2003): Sensitivity of the thematic mapper enhanced wetness difference index to detect mountain pine beetle red-attack damage. Remote Sensing of Environment, 86, 433-443 https://doi.org/10.1016/S0034-4257(03)00112-3Štěpánek Petr, Trnka Miroslav, Chuchma Filip, Zahradníček Pavel, Skalák Petr, Farda Aleš, Fiala Rostislav, Hlavinka Petr, Balek Jan, Semerádová Daniela, Možný Martin (2018): Drought Prediction System for Central Europe and Its Validation. Geosciences, 8, 104- https://doi.org/10.3390/geosciences8040104Vicente-Serrano Sergio M., Beguería Santiago, López-Moreno Juan I. (2010): A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. Journal of Climate, 23, 1696-1718 https://doi.org/10.1175/2009JCLI2909.1José Vidal-Macua Juan, Ninyerola Miquel, Zabala Alaitz, Domingo-Marimon Cristina, Pons Xavier (2017): Factors affecting forest dynamics in the Iberian Peninsula from 1987 to 2012. The role of topography and drought. Forest Ecology and Management, 406, 290-306 https://doi.org/10.1016/j.foreco.2017.10.011Wulder M.A., Skakun R.S., Kurz W.A., White J.C. (2004): Estimating time since forest harvest using segmented Landsat ETM+ imagery. Remote Sensing of Environment, 93, 179-187 https://doi.org/10.1016/j.rse.2004.07.009Wulder Michael A., Masek Jeffrey G., Cohen Warren B., Loveland Thomas R., Woodcock Curtis E. (2012): Opening the archive: How free data has enabled the science and monitoring promise of Landsat. Remote Sensing of Environment, 122, 2-10 https://doi.org/10.1016/j.rse.2012.01.010Zhang Lifu, Jiao Wenzhe, Zhang Hongming, Huang Changping, Tong Qingxi (2017): Studying drought phenomena in the Continental United States in 2011 and 2012 using various drought indices. Remote Sensing of Environment, 190, 96-106 https://doi.org/10.1016/j.rse.2016.12.010