Access the full text.
Sign up today, get DeepDyve free for 14 days.
P. Beck, C. Atzberger, K. Høgda, B. Johansen, A. Skidmore (2006)
Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVIRemote Sensing of Environment, 100
I. Barka, P. Lukeš, T. Bucha, T. Hlásny, Radim Strejček, M. Mlcousek, Š. Křístek (2018)
Remote sensing-based forest health monitoring systems – case studies from Czechia and SlovakiaCentral European Forestry Journal, 64
M. Lindner, J. Fitzgerald, N. Zimmermann, C. Reyer, S. Delzon, E. Maaten, M. Schelhaas, P. Lasch, J. Eggers, Marieke Maaten-Theunissen, F. Suckow, A. Psomas, B. Poulter, M. Hanewinkel (2014)
Climate change and European forests: what do we know, what are the uncertainties, and what are the implications for forest management?Journal of environmental management, 146
S. Vicente‐Serrano, J. Camarero, J. Olano, Natalia Martín-Hernández, M. Peña‐Gallardo, M. Tomás-Burguera, A. Gazol, C. Azorín-Molina, Upasana Bhuyan, A. Kenawy (2016)
Diverse relationships between forest growth and the Normalized Difference Vegetation Index at a global scaleRemote Sensing of Environment, 187
J. Tóth (1998)
Forest health monitoring system in Hungary., 88
K. Soudani, G. Maire, E. Dufrene, C. François, N. Delpierre, E. Ulrich, S. Cecchini (2008)
Evaluation of the onset of green-up in temperate deciduous broadleaf forests derived from Moderate Resolution Imaging Spectroradiometer (MODIS) dataRemote Sensing of Environment, 112
(2014)
Validácia nástupu fenologických udalostí bukových porastov
(2013)
A recent study
Upasana Bhuyan, Christian Zang, S. Vicente‐Serrano, A. Menzel (2017)
Exploring Relationships among Tree-Ring Growth, Climate Variability, and Seasonal Leaf Activity on Varying Timescales and Spatial ResolutionsRemote. Sens., 9
A. Peters, E. Walter-Shea, L. Ji, A. Viña, M. Hayes, M. Svoboda (2002)
Drought Monitoring with NDVI-Based Standardized Vegetation IndexPhotogrammetric Engineering and Remote Sensing, 68
E. Cook (1985)
A time series analysis approach to tree-ring standardization
J. Townshend, Chengquan Huang, S. Kalluri, R. DeFries, S. Liang, K. Yang (2000)
Beware of per-pixel characterization of land coverInternational Journal of Remote Sensing, 21
(2009)
Novel vector-based preprocessing of MODIS data
M. Bartold (2012)
Monitoring of forest damages in Poland and Slovakia based on Terra.MODIS satellite images, 4
S. Vicente‐Serrano, S. Beguerı́a, J. López‐Moreno (2009)
A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration IndexJournal of Climate, 23
(2014)
Tvorba údajovej bázy a modelovanie fenológie lesných porastov
J. Camarero, M. Franquesa, G. Sangüesa‐Barreda (2015)
Timing of Drought Triggers Distinct Growth Responses in Holm Oak: Implications to Predict Warming-Induced Forest Defoliation and Growth DeclineForests, 6
András Koltay (2006)
Az erdők egészségi állapotának változásai az erdővédelmi monitoring rendszerek adatai alapjánTájökológiai Lapok
J. Ju, D. Roy (2010)
Generation of Temporally Complete Daily Nadir MODIS Reflectance Time Series
A 2017 . évi biotikus és abiotikus erdőgazdasági károk , valamint a 2018 - ban várható károsítások
S. Ganguly, M. Friedl, B. Tan, Xiaoyang Zhang, M. Verma (2010)
Land Surface Phenology from MODIS: Characterization of the Collection 5 Global Land Cover Dynamics ProductRemote Sensing of Environment, 114
Eliakim Hamunyela, J. Verbesselt, G. Roerink, M. Herold (2013)
Trends in Spring Phenology of Western European Deciduous ForestsRemote. Sens., 5
Z. Somogyi (2016)
Projected effects of climate change on the carbon stocks of European beech (Fagus sylvatica L.) forests in Zala County, HungaryForestry Journal, 62
(1976)
1976: Tree Rings and Climate
(2017)
Exploring Relationships among Tree-Ring Growth
T. Bucha, M. Koreň (2017)
Phenology of the beech forests in the Western Carpathians from MODIS for 2000-2015Iforest - Biogeosciences and Forestry, 10
L. Bruce, A. Mathur (2005)
Denoising and wavelet-based feature extraction of MODIS multi-temporal vegetation signaturesInternational Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.
Yongshuo Fu, S. Piao, M. Beeck, N. Cong, Hongfang Zhao, Y. Zhang, A. Menzel, I. Janssens (2014)
Recent spring phenology shifts in western Central Europe based on multiscale observationsGlobal Ecology and Biogeography, 23
M. Wulder, J. Masek, W. Cohen, T. Loveland, C. Woodcock (2012)
Opening the archive: How free data has enabled the science and monitoring promise of LandsatRemote Sensing of Environment, 122
(2014)
Validácia nástupu fenologických udalostí bukových porastov. In: Bucha, T. (ed): Satelity v službách lesa. Bratislava, SAP-Slovak
Benjamin Heumann, J. Seaquist, L. Eklundh, P. Jönsson (2007)
AVHRR Derived Phenological Change in the Sahel and Soudan, Africa, 1982 - 2005Remote Sensing of Environment, 108
(2018)
évi biotikus és abiotikus erdőgazdasági károk, valamint a 2018-ban várható károsítások
Irene Garonna, R. Jong, A. Wit, C. Mücher, B. Schmid, M. Schaepman (2014)
Strong contribution of autumn phenology to changes in satellite‐derived growing season length estimates across Europe (1982–2011)Global Change Biology, 20
N. Delpierre, E. Dufrene, K. Soudani, E. Ulrich, S. Cecchini, J. Boé, C. François (2009)
Modelling interannual and spatial variability of leaf senescence for three deciduous tree species in France.Agricultural and Forest Meteorology, 149
N. Móricz, Balázs Garamszegi, E. Rasztovits, A. Bidló, A. Horváth, Attila Jagicza, G. Illés, Z. Vekerdy, Z. Somogyi, B. Gálos (2018)
Recent Drought-Induced Vitality Decline of Black Pine (Pinus nigra Arn.) in South-West Hungary—Is This Drought-Resistant Species under Threat by Climate Change?Forests
B. Franch, E. Vermote, José Sobrino, E. Fedele (2013)
Analysis of directional effects on atmospheric correctionRemote Sensing of Environment, 128
J. Fisher, J. Mustard (2007)
Cross-scalar satellite phenology from ground, Landsat, and MODIS dataRemote Sensing of Environment, 109
(2014)
2014: Europe. In: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part B: Regional Aspects. Contribution of Working Group II to the Fifth Assessment Report
Sarah Eichmann (2016)
Tree Rings And Climate
T. Wigley, K. Briffa, P. Jones (1984)
On the Average Value of Correlated Time Series, with Applications in Dendroclimatology and HydrometeorologyJournal of Applied Meteorology and Climatology, 23
M. Dobbertin (2005)
Tree growth as indicator of tree vitality and of tree reaction to environmental stress: a reviewEuropean Journal of Forest Research, 124
T. Hlásny, I. Barka, Zuzana Sitková, T. Bucha, M. Konôpka, M. Lukac (2014)
MODIS-based vegetation index has sufficient sensitivity to indicate stand-level intra-seasonal climatic stress in oak and beech forestsAnnals of Forest Science, 72
Hongxiao Jin, A. Jönsson, Cecilia Olsson, J. Lindström, P. Jönsson, L. Eklundh (2019)
New satellite-based estimates show significant trends in spring phenology and complex sensitivities to temperature and precipitation at northern European latitudesInternational Journal of Biometeorology, 63
(2013)
Analysis of directional effect on atmospheric correction
R. Kaufmann, R. D’Arrigo, L. Paletta, H. Tian, W. Jolly, R. Myneni (2008)
Identifying Climatic Controls on Ring Width: The Timing of Correlations between Tree Rings and NDVIEarth Interactions, 12
L. Berner, P. Beck, A. Bunn, S. Goetz (2013)
Plant response to climate change along the forest‐tundra ecotone in northeastern SiberiaGlobal Change Biology, 19
A. Bunn, M. Hughes, A. Kirdyanov, M. Losleben, V. Shishov, L. Berner, A. Oltchev, E. Vaganov (2013)
Comparing forest measurements from tree rings and a space-based index of vegetation activity in SiberiaEnvironmental Research Letters, 8
B. Schieber, R. Janík, Z. Snopková (2018)
Phenology of common beech ( Fagus sylvatica L.) along the altitudinal gradient in Slovak Republic (Inner Western Carpathians)Journal of forest science, 59
L. Eklundh, P. Jönsson (2015)
TIMESAT: A Software Package for Time-Series Processing and Assessment of Vegetation Dynamics, 22
G. Hmimina, E. Dufrene, J. Pontailler, N. Delpierre, M. Aubinet, Blandine Caquet, A. Grandcourt, B. Burban, C. Flechard, A. Granier, P. Gross, B. Heinesch, B. Longdoz, C. Moureaux, J. Ourcival, S. Rambal, L. André, K. Soudani (2013)
Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurementsRemote Sensing of Environment, 132
R. Holmes (1983)
Computer-Assisted Quality Control in Tree-Ring Dating and MeasurementTree-ring Bulletin
E. Lopatin, T. Kolström, H. Spiecker (2006)
Determination of forest growth trends in Komi Republic (northwestern Russia) : combination of tree-ring analysis and remote sensing dataBoreal Environment Research, 11
C. Justice, J. Townshend, E. Vermote, E. Masuoka, R. Wolfe, N. Saleous, D. Roy, J. Morisette (2002)
An overview of MODIS Land data processing and product statusRemote Sensing of Environment, 83
H. Fritts, T. Blasing, B. Hayden, J. Kutzbach (1971)
Multivariate Techniques for Specifying Tree-Growth and Climate Relationships and for Reconstructing Anomalies in PaleoclimateJournal of Applied Meteorology, 10
Forestry Journal – de Gruyter
Published: Sep 1, 2019
You can share this free article with as many people as you like with the url below! We hope you enjoy this feature!
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.