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, 33:211–221 Drusch, M., Del Bello, U., Carlier, S., Colin, O., Fernandez, V., Gascon, F. et al., 2012: Sentinel–2: ESA’s Optical High-Resolution Mission for GMES Operational Services. Remote Sensing of Environment, 120:25–36. Ferretti, M., 1997: Forest Health Assessment and Monitoring – Issues for Consideration. Environmental Monitoring and Assessment, 48:45–72. Franklin, S., Lavigne, M., Wulder, M. A., Stenhouse, G. B., 2002: Change detection and landscape structure mapping using remote sensing. The Forestry Chronicle, 78:618–625. Frolking, S., Palace, M. W., Clark

, Guangjian Yan, and Xiaoyu Zhang. “Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction.” Remote sensing of environment 101, no. 3 (2006): 366-378. Jiang, Zhangyan, and Alfredo R. Huete. “Linearization of NDVI based on its relationship with vegetation fraction.” Photogrammetric Engineering & Remote Sensing 76, no. 8 (2010): 965-975. Kolb, T. E., M. R. Wagner, and W. W. Covington. 1991. “Forest Health from Different Perspectives.” General Technical Report -US Department of Agriculture, Forest Service . Lausch, Angela, Stefan Erasmi

References BUCHA, T., VLADOVIČ, J., 2000: Klasifikacia zdravotneho stavu lesov pomocou kozmickych snimok Landsat TM na modelovom uzemi Lomnistej a Vajskovskej doliny . Lesnicky časopis - Forestry Journal, 46(2): 117-127. BUCHA,T., BARKA, I., BARTKO, M., 2009: Zhodnotenie zdravotneho stavu lužnych lesov v inundačnej oblasti Dunaja v useku Dobrohošt - Sap z leteckych snimok. Lesnicky časopis - Forestry Journal, 55(2): 145-164. CIESLA, W. M., 2000: Remote Sensing in Forest Health Protection. USDA Forest Service, FHTET Report No. 00-03, 266 p. CIFRA, J., 1983

References Bucha T., Vladovič J., 2000: Klasifikácia zdravotného stavu lesov pomocou kozmických snímok Landsat TM na modelovom území Lomnistej a Vajskovskej doliny. Lesn. Čas. - Forestry Journal , 46(2): 117-127. Cifra J., 1983: Prognóza vplyvu vodného diela Gabčíkovo na lesné hospodárstvo. Lesn. Čas. , 29(2): 137-152. Cifra J., 1987: Podmienky zachovania lužných lesných spoločenstiev na Dunaji. Lesn. Čas. , 33(6): 429-440. Gross C. P., 2000: Remote sensing application for forest health status assessment. Second edition, Commission of the European Communities


Over the past decades, the increase in occurrence of fires has caused degradation of the forest ecosystem and caused impacts to the environment. The aim of this study was to reveal the peculiarities of Scots pine health condition dynamics in the first 2 years after August fire and to estimate the rate of tree colonisation by stem insects in Central Polissya. Scots pine health condition for the first 2 years after summer ground fire in August 2016 and the rate of tree colonisation by stem insects was studied in Zhytomyr region, Western Ukraine. Stem scorch height was measured for every fire-damaged tree, and the index of fire damage severity was calculated. Vital trees health condition worsened more intensively in the sample plot with the lowest relative stocking density and the highest stem scorch by fire. Generally, the forest health condition has worsened in post-fire period in fire damaged stands. However, 23.1% of trees recovered health condition from category ‘drying-up’ to ‘severely weakened’. In fire-damaged stands, the number of species of stem insects has increased from 8 to 11 during the first 2 years of fire damage. Bark beetles were represented by Tomicus piniperda (Linnaeus, 1758), Tomicus minor (Hartig, 1834), Ips acuminatus (Gyllenhal, 1827) and Ips sexdentatus (Boerner, 1767). Jewel beetles included Anthaxia quadripunctata (Linnaeus, 1758), Phaenops cyaneus (Fabricius, 1775), Melanophila acuminata (DeGeer, 1774) and Chalcophora mariana (Linnaeus, 1758). Longhorn beetles included Monochamus galloprovincialis (Olivier, 1795), Pogonocherus fasciculatus (Degeer, 1775) and Acanthocinus aedilis (Linnaeus, 1758). Tree colonisation by stem insects in the year of fire damage was comparable with control stand, because insect swarming completed before this disturbance. Maximal occurrence of stem insects in 2017 in fire-damaged stand increased up to 66.7% (for I. sexdentatus). The percentage of trees colonised by any insect species at fire-damaged and healthy pine stands differed significantly. The occurrence of stem insects depended mainly on the ratio of trees with different health condition. Our results demonstrate data of tree damage from fire and tree health index as a strong predictor of post-fire mortality of Scots pine and bark beetle occurrence.


This paper present the data for monitoring forest conditions and forest resource management by a local community adjacent to the Doi Laung Wildlife Sanctuary, Huaimai Sub-district, Song District, Phrae Province, Thailand. This study uses quantitative forest surveys, interviews, discussions, and descriptions of the historical context of public participation in forest management including a detailed assessment of field conditions. The findings of a forest resources inventory show that (1) from the three sampled areas, Doi Laung Wildlife Sanctuary has highest richness, followed by village #16 and #14, and (2) Huaikhon #16 implied the process of framework to maintain a healthy condition and response to community needs with collective management. The conceptual model assessment that links key group indicators and drivers is presented based on previously developed assessment models. The framework focuses on the best way to provide forest management, forest fire prevention, and firefighting as well as monitoring of Check-dam construction and other activities that support the recovery of the forest community. This paper demonstrates the general of an environmental assessment framework to applying organize environmental information to facilitate policy decision making for the sustainable development.


The main purpose of this publication is to present the current progress of the work associated with the use of a lightweight unmanned platforms for various environmental studies. Current development in information technology, electronics and sensors miniaturisation allows mounting multispectral cameras and scanners on unmanned aerial vehicle (UAV) that could only be used on board aircraft and satellites. Remote Sensing Division in the Institute of Aviation carries out innovative researches using multisensory platform and lightweight unmanned vehicle to evaluate the health state of forests in Wielkopolska province. In this paper, applicability of multispectral images analysis acquired several times during the growing season from low altitude (up to 800m) is presented. We present remote sensing indicators computed by our software and common methods for assessing state of trees health. The correctness of applied methods is verified using analysis of satellite scenes acquired by Landsat 8 OLI instrument (Operational Land Imager).

- Forestry Journal , 55 (2), 145- 164. Carter G.A. 1993. Responses of leaf spectral reflectance to plant stress. American Journal of Botany , 80, 239−243. Carter G.A. 1994. Ratios of leaf reflectances in narrow wavebands as indicators of plant stress. International Journal of Remote Sensing , 15, 697−703. Carter G.A., Knapp A.K. 2001. Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration. American Journal of Botany, 88 (4), 677- 684. Ciesla W.M. 2000. Remote Sensing in Forest Health Protection. USDA Forest

. A. 2003. Assessing the impacts of global warming on forest pest dynamics. Frontiers in Ecology and the Environment, 1 (3): 130-137. Menéndez R. 2007. How are insects responding to global warming. Tijdschrift voor Entomologie, 150: 355-365. Moore B. A., Allard G. B. 2008. Climate change impacts on forest health. Forest Health & Biosecurity Working Papers FBS/34E. Forest Resources Development Service, Forest Management Division, FAO, Rome. Netherer S., Schopf A. 2010. Potential effects of climate change on insect herbivores in European forests - General aspects and

and levels and air pollution effects, risks and trends. UNECE Convention on Long-range Transboundary Air Pollution; , accesat 10.11.2016 Moore B., Allard G: Climate change impacts on forest health . Forestry Department Food and Agriculture Organization of the United Nations. Forest Health and Biosecurity Working Papers. Roma, 2008, 45p Nedealcov M: Resursele agroclimatice în contextul schimbărilor de climă , Tip.” Alina Scorohodova” 2012, Chișinău, 306 p. Nedealcov M., Dediu I., Donica A., Grigoraș N: Utilizarea indicelui de ariditate forestier