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https://hdl.handle.net/20.500.14279/29410
Title: | Analysis of radar and thermal satellite data time-series for understanding the long-term impact of land surface temperature changes on forests | Authors: | Prodromou, Maria Yfantidou, Anastasia Theocharidis, Christos Miltiadou, Milto Danezis, Chris |
Major Field of Science: | Engineering and Technology | Field Category: | Civil Engineering | Issue Date: | 4-May-2020 | Source: | 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) | Abstract: | 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 |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
Files in This Item:
File | Description | Size | Format | |
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EGU2020-10582_presentation.pptx | 3.44 MB | Microsoft Powerpoint XML | View/Open |
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