{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T07:45:11Z","timestamp":1769845511265,"version":"3.49.0"},"reference-count":69,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2016,1,26]],"date-time":"2016-01-26T00:00:00Z","timestamp":1453766400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministry of Education, Youth and Sports of the Czech Republic","award":["LH 12097"],"award-info":[{"award-number":["LH 12097"]}]},{"name":"Ministry of Education, Youth and Sports of the Czech Republic","award":["NPUI LO 1417"],"award-info":[{"award-number":["NPUI LO 1417"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The study focuses on spatio-temporal changes in the physiological status of the Norway spruce forests located at the central and western parts of the Ore Mountains (northwestern part of the Czech Republic), which suffered from severe environmental pollution from the 1970s to the 1990s. The situation started improving after the pollution loads decreased significantly at the end of the 1990s. The general trends in forest recovery were studied using the tasseled cap transformation and disturbance index (DI) extracted from the 1985\u20132015 time series of Landsat data. In addition, 16 vegetation indices (VIs) extracted from airborne hyperspectral (HS) data acquired in 1998 using the Advanced Solid-State Array Spectroradiometer (ASAS) and in 2013 using the Airborne Prism Experiment (APEX) were used to study changes in forest health. The forest health status analysis of HS image data was performed at two levels of spatial resolution; at a tree level (original 2.0 m spatial resolution), as well as at a forest stand level (generalized to 6.0 m spatial resolution). The temporal changes were studied primarily using the VOG1 vegetation index (VI) as it was showing high and stable sensitivity to forest damage for both spatial resolutions considered. In 1998, significant differences between the moderately to heavily damaged (central Ore Mountains) and initially damaged (western Ore Mountains) stands were detected for all the VIs tested. In 2013, the stands in the central Ore Mountains exhibited VI values much closer to the global mean, indicating an improvement in their health status. This result fully confirms the finding of the Landsat time series analysis. The greatest difference in Disturbance Index (DI) values between the central (1998: 0.37) and western Ore Mountains stands (1998: \u22121.21) could be seen at the end of the 1990s. Nonetheless, levelling of the physiological status of Norway spruce was observed for the central and western parts of the Ore Mountains in 2013 (mean DI values \u22121.04 (western) and \u22120.66 (central)). Although the differences between originally moderately-to-heavily damaged, and initially damaged stands generally levelled out by 2013, it is still possible to detect signs of the previous damage in some cases.<\/jats:p>","DOI":"10.3390\/rs8020092","type":"journal-article","created":{"date-parts":[[2016,1,26]],"date-time":"2016-01-26T10:00:42Z","timestamp":1453802442000},"page":"92","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Detection of Spatio-Temporal Changes of Norway Spruce Forest Stands in Ore Mountains Using Landsat Time Series and Airborne Hyperspectral Imagery"],"prefix":"10.3390","volume":"8","author":[{"given":"Jan","family":"Mi\u0161urec","sequence":"first","affiliation":[{"name":"Czech Geological Survey, Kl\u00e1rov 3, Prague 118 21, Czech Republic"},{"name":"Faculty of Science, Department of Applied Geoinformatics and Cartography, Charles University, Albertov 6, Prague 128 43, Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Veronika","family":"Kopa\u010dkov\u00e1","sequence":"additional","affiliation":[{"name":"Czech Geological Survey, Kl\u00e1rov 3, Prague 118 21, Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3060-641X","authenticated-orcid":false,"given":"Zuzana","family":"Lhot\u00e1kov\u00e1","sequence":"additional","affiliation":[{"name":"Faculty of Science, Department of Experimental Plant Biology, Charles University, Vini\u010dn\u00e1 5, Prague 128 44, Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Petya","family":"Campbell","sequence":"additional","affiliation":[{"name":"Joint Center for Earth Systems Technology, University of Maryland Baltimore County and Biospheric Sciences, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5613-847X","authenticated-orcid":false,"given":"Jana","family":"Albrechtov\u00e1","sequence":"additional","affiliation":[{"name":"Faculty of Science, Department of Experimental Plant Biology, Charles University, Vini\u010dn\u00e1 5, Prague 128 44, Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,1,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1261","DOI":"10.1080\/01431169508954476","article-title":"Spectral characterization and regression based classification of forest damage in Norway spruce stands in the Czech Republic using Landsat Thematic Mapper data","volume":"15","author":"Lambert","year":"1995","journal-title":"Int. J. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/S0034-4257(98)00057-1","article-title":"Investigation of the utility of spectral vegetation indices for determining information on coniferous forests","volume":"66","author":"McDonald","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/S0034-4257(98)00014-5","article-title":"Biophysical and biochemical sources of variability in canopy reflectance","volume":"64","author":"Asner","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.rse.2013.05.033","article-title":"Using landsat-derived disturbance history and recovery and LiDAR to map forest biomass dynamics","volume":"151","author":"Pflugmacher","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_5","first-page":"1243","article-title":"Change detection for monitoring forest defoliation","volume":"60","author":"Muchoney","year":"1994","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_6","first-page":"495","article-title":"Integrating temperature vegetation dryness index (TVDI) and regional water stress index (RWSI) for drought assessment with the aid of Landsat TM\/ETM plus images","volume":"13","author":"Gao","year":"2011","journal-title":"Int. J. Appl. Earth Obs. Geoinform."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1890\/02-5356","article-title":"Remote estimation of gypsy moth defoliation to assess variations in stream nitrogen concentrations","volume":"14","author":"Townsend","year":"2004","journal-title":"Ecol. Appl."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.rse.2011.12.023","article-title":"A general landsat model to predict canopy defoliation on broadleaf deciduous forests","volume":"119","author":"Townsend","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2897","DOI":"10.1016\/j.rse.2010.07.008","article-title":"Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr\u2212Temporal segmentation algorithms","volume":"114","author":"Kennedy","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.rse.2013.08.010","article-title":"Monitoring coniferous forest biomass change using Landsat trajectory-based approach","volume":"139","author":"Cohen","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/0034-4257(94)00098-8","article-title":"Classification of multispectral images based on fractions of endmembers\u2014Application to land-cover change in the Brazilian Amazon","volume":"52","author":"Adams","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.rse.2013.01.002","article-title":"Evaluating methods to detect bark beetle-caused tree mortality using single-date and multi-date Landsat imagery","volume":"132","author":"Meddens","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.rse.2014.08.005","article-title":"Improving estimates of forest disturbance by combining observations from Landsat time series with US forest service forest inventory and analysis data","volume":"154","author":"Schroeder","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1080\/15481603.2015.1045277","article-title":"Mapping land development though periods of economic bubble and bust in Massachusetts using Landsat time series data","volume":"52","author":"Cunningham","year":"2015","journal-title":"GISci. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.rse.2014.11.027","article-title":"Eastern Europe\u2019s forest dynamics from 1985 to 2012 quantified from the full Landsat archive","volume":"159","author":"Potapov","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1177\/030913339902300303","article-title":"Hyperspectral remote sensing for estimating biophysical parameters of forest ecosystems","volume":"23","author":"Treitz","year":"1999","journal-title":"Prog. Phys. Geogr."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"5557","DOI":"10.1080\/01431160410001726058","article-title":"Detection of initial damage in Norway spruce canopies using hyperspectral airborne data","volume":"25","author":"Campbell","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Mi\u0161urec, J., Kopa\u010dkov\u00e1, V., Lhot\u00e1kov\u00e1, Z., Hanu\u0161, J., Weyermann, J., Entcheva-Campbell, P., and Albrechtova, J. (2012). Utilization of hyperspectral image optical indices to assess the Norway spruce forest health status. J. Appl. Remote Sens., 6.","DOI":"10.1117\/1.JRS.6.063545"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1016\/j.rse.2004.01.017","article-title":"Hyperspectral indices and model simulations for chlorophyll estimation in open-canopy tree crops","volume":"90","author":"Miller","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"3234","DOI":"10.1016\/j.rse.2008.04.005","article-title":"Leaf chlorophyll content retrieval from airborne hyperspectral remote sensing imagery","volume":"112","author":"Zhang","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_21","first-page":"17","article-title":"Retrieval of chlorophyll and nitrogen content in Norway spruce (Picea abies L. Karst) using imaging spectroscopy","volume":"12","author":"Schlerf","year":"2010","journal-title":"Int. J. Appl. Earth Obs. Geoinform."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.rse.2012.12.015","article-title":"Retrieval of spruce leaf chlorophyll content from airborne image data using continuum removal and radiative transfer","volume":"131","author":"Kaplan","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/S0034-4257(98)00046-7","article-title":"Remote sensing of chlorophyll a, chlorophyll b, chlorophyll a + b and total carotenoid content in Eucalyptus leaves","volume":"66","author":"Datt","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1562\/0031-8655(2002)075<0272:ACCIPL>2.0.CO;2","article-title":"Assessing carotenoid content in plant leaves with reflectance spectroscopy","volume":"75","author":"Gitelson","year":"2002","journal-title":"Photochem. Photobiol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/j.rse.2003.12.013","article-title":"Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture","volume":"90","author":"Haboudane","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_26","first-page":"298","article-title":"Carotenoid content estimation in a heterogeneous conifer forest using narrow-band indices and PROSPECT+DART simulations","volume":"127","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1853","DOI":"10.1080\/014311699212524","article-title":"Designing optimal spectral indices: A feasibility and proof of concept study","volume":"20","author":"Govaerts","year":"1999","journal-title":"Int. J. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"4025","DOI":"10.1080\/01431161.2013.772313","article-title":"Using AHS hyper-spectral images to study forest vegetation recovery after a fire","volume":"34","author":"Huesca","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_29","first-page":"2190","article-title":"Comparison of red edge parameters of winter wheat canopy under late frost stress","volume":"34","author":"Wu","year":"2014","journal-title":"Spectrosc. Spectr. Anal."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Fassnacht, F.E., Latifi, H., Ghosh, A., Joshi, P.K., and Koch, B. (2014). Assessing the potential of hyperspectral imagery to map bark beetle-induced tree mortality. Remote Sens. Environ.","DOI":"10.1016\/j.rse.2013.09.014"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.rse.2012.09.019","article-title":"Development of spectral indices for detecting and identifying plant diseases","volume":"128","author":"Mahlein","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.isprsjprs.2014.08.015","article-title":"Spectroscopic remote sensing of plant stress at leaf and canopy levels using the chlorophyll 680 nm absorption feature with continuum removal","volume":"97","author":"Sanches","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.isprsjprs.2014.03.016","article-title":"Detection of early plant stress responses in hyperspectral images","volume":"93","author":"Behmann","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_34","unstructured":"Air Pollution and Atmospheric Deposition in Data. Available online: http:\/\/portal.chmi.cz\/files\/portal\/docs\/uoco\/isko\/tab_roc\/tab_roc_CZ.html."},{"key":"ref_35","first-page":"158","article-title":"Satellite-based estimations of coniferous forest cover changes: Kru\u0161n\u00e9 hory, Czech Republic 1972\u20131989","volume":"26","author":"Ardo","year":"1997","journal-title":"Ambio"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1016\/j.isprsjprs.2009.01.006","article-title":"Calibration facility for airborne imaging spectrometers","volume":"64","author":"Gege","year":"2009","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.rse.2014.11.014","article-title":"Advanced radiometry measurements and earth science applications with the airborne prism experiment (APEX)","volume":"158","author":"Schaepman","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_38","unstructured":"Hildebrandt, G., and Gross, C. (1992). Remote Sensing Forest Health Status Assessment, European Union, Commision for Agriculture."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1016\/S0005-2728(89)80347-0","article-title":"Determination of accurate extinction coefficients and simultaneous equations for assaying chlorophylls a and b extracted with four different solvents: Verification of the concentration of chlorophyll standards by atomic absorption spectroscopy","volume":"975","author":"Porra","year":"1989","journal-title":"Biophys. Biochim. Acta"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/S0176-1617(11)81192-2","article-title":"The spectral determination of chlorophyll a and b, as well as carotenoids, using various solvents with spectrophotometers of different resolution","volume":"144","author":"Welburn","year":"1994","journal-title":"J. Plant. Phys."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1080\/2150704X.2014.915434","article-title":"Derivation of tasselled cap transformation based on Landsat 8 at-satellite reflectance","volume":"5","author":"Baig","year":"2014","journal-title":"Remote Sens. Lett."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1080\/01431161.2014.995274","article-title":"Comparison of Tasselled Cap transformations based on the selective bands of Landsat 8 OLI TOA reflectance images","volume":"36","author":"Liu","year":"2015","journal-title":"Int. J. Remote Sens."},{"key":"ref_43","first-page":"41","article-title":"The Tasseled Cap\u2014A graphic description of the spectral\u2014Temporal development of agricultural crops as seen by Landsat","volume":"1976","author":"Kauth","year":"1976","journal-title":"LARS Symp."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1016\/j.rse.2005.05.009","article-title":"Comparison of Tasseled Cap-based landsat data structure for use in forest disturbance detection","volume":"97","author":"Healey","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Peter Ho, P.-G. (2009). Remote Sensing of Forest Health, Geoscience and Remote Sensing, InTech.","DOI":"10.5772\/177"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/S0034-4257(02)00010-X","article-title":"Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages","volume":"81","author":"Sims","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1563","DOI":"10.1080\/01431169308953986","article-title":"Red edge spectral measurements from Sugar maple leaves","volume":"14","author":"Vogelmann","year":"1993","journal-title":"Int. J. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1093\/treephys\/15.3.203","article-title":"Exploring the relationship between reflectance red edge and chlorophyll concentration in Slash pine leaves","volume":"15","author":"Curran","year":"1995","journal-title":"Tree Phys."},{"key":"ref_49","first-page":"309","article-title":"Monitoring vegetation systems in the Great Plains with ERTS","volume":"351","author":"Rouse","year":"1974","journal-title":"NASA Spec. Publ."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1016\/0034-4257(94)00114-3","article-title":"Estimating PAR absorbed by vegetation from bidirectional reflectance measurements","volume":"51","author":"Roujean","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1080\/07038992.1996.10855178","article-title":"Evaluation of vegetation indices and modified simple ratio for boreal applications","volume":"22","author":"Chen","year":"1996","journal-title":"Can. J. Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/0034-4257(94)90134-1","article-title":"A modified soil vegetation adjusted index","volume":"48","author":"Qi","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/S0034-4257(00)00113-9","article-title":"Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance","volume":"74","author":"Daughtry","year":"2000","journal-title":"Remote Sens. Environ."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/S0034-4257(00)00197-8","article-title":"Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimating of green leaf area index and canopy chlorophyll density","volume":"76","author":"Broge","year":"2000","journal-title":"Remote Sens. Environ."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/S0034-4257(02)00018-4","article-title":"Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture","volume":"81","author":"Haboudane","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/0034-4257(95)00186-7","article-title":"Optimization of soil-adjusted vegetation indices","volume":"55","author":"Rondeaux","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_57","first-page":"566","article-title":"Ribulose-1,5-bisphosphate carboxylase activity and protein content in pollution damaged leaves of three oak species","volume":"23","year":"1989","journal-title":"Photosynthetica"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"488","DOI":"10.1016\/S0176-1617(11)81811-0","article-title":"Light and temperature control of season-dependent changes in the \u03b1- and \u03b2-carotene content of spruce needles","volume":"143","year":"1994","journal-title":"J. Plant. Phys."},{"key":"ref_59","first-page":"169","article-title":"Using multi-date high spectral resolution data to assess physiological status of macroscopically undamaged foliage on a regional scale","volume":"27","author":"Oulehle","year":"2014","journal-title":"Int. J. Appl. Earth Obs. Geoinform."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1987","DOI":"10.1007\/s13762-014-0602-3","article-title":"Assessing forest health via linking the geochemical properties of soil profile with the biochemical parameters of vegetation","volume":"12","author":"Oulehle","year":"2015","journal-title":"Int. J. Environ. Sci. Technol."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1046\/j.1469-8137.2000.00666.x","article-title":"Histochemical and biochemical approaches to the study of phenolic compounds and peroxidases in needles of Norway spruce (Picea Abies)","volume":"146","author":"Rock","year":"2000","journal-title":"New Phytol."},{"key":"ref_62","first-page":"108","article-title":"Retrospective evaluation of the response of montane forest ecosystems to multiple stress","volume":"20","author":"Moravec","year":"2001","journal-title":"Ekol\u00f3gia"},{"key":"ref_63","first-page":"23","article-title":"Macroscopic indicators for the retrospective assessment of Norway spruce crown response to stress in the Krkono\u0161e Mountains","volume":"21","author":"Moravec","year":"2007","journal-title":"Trees"},{"key":"ref_64","unstructured":"Program Ekologizace. Available online: http:\/\/www.cez.cz\/cs\/odpovedna-firma\/zivotni-prostredi\/programy-snizovani-zateze-zp\/snizovani-znecisteni-ovzdusi\/program-ekologizace.html."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"662","DOI":"10.3402\/tellusb.v48i5.15939","article-title":"Sulphur dioxide emissions in Europe 1880\u20131991 and their effect on sulphur concentrations and depositions","volume":"48","author":"Mylona","year":"1996","journal-title":"Tellus. Ser. B-Chem. Phys. Meteorol."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1007\/BF00033204","article-title":"Forest dieback in Czechoslovakia","volume":"93","year":"1991","journal-title":"Vegetation"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1659\/mrd.1040","article-title":"The Ore Mountains: Will successive recovery from lethal disease be successful?","volume":"28","author":"Balcar","year":"2008","journal-title":"Mt. Res. Dev."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1016\/j.envpol.2006.08.028","article-title":"Integrated effects of air pollution and climate on forests: A northern hemisphere perspective","volume":"147","author":"Bytnerowicz","year":"2007","journal-title":"Environ. Pollut."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1986","DOI":"10.1016\/j.envpol.2009.11.023","article-title":"Advances of air pollution sciences: From forest decline to multiple stress effects on forest ecosystem services","volume":"158","author":"Paoletti","year":"2010","journal-title":"Environ. Pollut."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/2\/92\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:18:18Z","timestamp":1760210298000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/2\/92"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,1,26]]},"references-count":69,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2016,2]]}},"alternative-id":["rs8020092"],"URL":"https:\/\/doi.org\/10.3390\/rs8020092","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,1,26]]}}}