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Τίτλος: Analysis of radar and thermal satellite data time-series for understanding the long-term impact of land surface temperature changes on forests
Συγγραφείς: Prodromou, Maria 
Yfantidou, Anastasia 
Theocharidis, Christos 
Miltiadou, Milto 
Danezis, Chris 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Ημερομηνία Έκδοσης: 4-Μαΐ-2020
Πηγή: EGU General Assembly 2020, Online, 4–8 May 2020
Project: Analysis of SAR and thermal satellite data time-series for understanding the long-term impact of land surface temperature changes on forests ( ASTARTE) 
Περίληψη: Forests are globally an important environmental and ecological resource since they retrain water through their routes and therefore limit flooding events and soil erosion from moderate rainfall. They also act as carbon sinks, provide food, clean water and natural habitat for humans and other species, including threatened ones. Recent reports stressed the vulnerability of EU forest ecosystem to climate change impacts (EEA, 2012) (IPPC, et al., 2014). Climate change is a significant factor in the increasing forest fires and tree species being unable to adapt to the severity and frequency of drought during the summer period. Consequently, the possibility of increased insect pests and tree diseases is high as trees have been weakened by the extreme weather conditions. In Cyprus, there are two types of pine trees that exists on Troodos mountains, Pinus Nigra and Pinus Brutia, that may have been influenced by the reduced snowfall and extended summer droughts during the last decades. The overarching aim of this project is to research the impact of Land Surface Temperature on Cypriot forests on Troodos mountains by analysing time-series of radar and thermal satellite data. Impacts may include forest decline that does not relate to fire events, decreased forest density and alternations to timing of forest blooming initiation, duration and termination. Radar systems emitted pulses that can penetrate forest canopy due to the size of its wavelength and, therefore, collect information between tree branches without being affected by clouds. This presentation will focus on radar analysis conducted; testing of various methods, and how the processing pipeline has been automated.
URI: https://hdl.handle.net/20.500.14279/29410
DOI: 10.5194/egusphere-egu2020-10582
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Conference Papers
Affiliation: Cyprus University of Technology 
Remote Sensing Laboratory 
ERATOSTHENES Centre of Excellence 
Εμφανίζεται στις συλλογές:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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