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- Dokumenttyp:
- Masterarbeit
- Autor(en):
- Kontou, Danai-Maria
- Titel:
- Developing Data Cylinders to map changes and feedbacks between Arctic Sea Ice and Vegetation
- Abstract:
- Abstract Arctic sea ice hits second-lowest level on record in 2020 and a “new Arctic” climate era is commencing (Landrum & Holland, 2020). Living on a planet which is facing a global climate change, the understanding and the communication of those vast environmental changes have great importance. The objective of this thesis is the development of a three-dimensional spatiotemporal visual, in a cylindrical shape due to the circularity of the Arctic region, depicting the analysis of the changes of the sea ice and vegetation in the Arctic. Level4 remote sensing data is used for the vegetation and sea ice concentration in a pan-arctic scale for the needs of this research. Its main outcomes are the changes themselves mirrored through their anomalies, and the creation of one cartographic product which illustrates these phenomena in the best suitable way. The representation of time and space in a single visual has been viewed as a challenge in the field of modern cartography throughout many decades. While data-cubes have been proposed for regional or even global geographical data visualization, the polar regions seem not suitable for such cubes. The proposed cartographic representation of the Arctic space and time into “Data-Cylinders” responds to the challenging befitting of physical phenomena along space and time. The context of the “Data-Cylinders” includes the visualization of the changes of climatic and physical phenomena in the form of time-series. A cylinder in this case could be described as many circular maps on top of the other in chronological order. “Space” in this scenario is placed across cycles, while “time” is given along the height of the cylinder. Keywords: Arctic, Sea Ice Concentration, Arctic Vegetation, fPAR, remote sensing, web cartography, time geography, Data Cylinders
- Stichworte:
- Arctic, Sea Ice Concentration, Arctic Vegetation, fPAR, remote sensing, web cartography, time geography, Data Cylinders
- Fachgebiet:
- GEO Geowissenschaften
- DDC:
- 620 Ingenieurwissenschaften
- Betreuer:
- JProf. Dr. Matthias Forkel (Technische Universität Dresden)
- Gutachter:
- Dr. Paulo Raposo (University of Twente)
- Jahr:
- 2020
- Quartal:
- 4. Quartal
- Jahr / Monat:
- 2020-10
- Monat:
- Oct
- Seiten/Umfang:
- 100
- Sprache:
- en
- Hochschule / Universität:
- Technische Universität München
- Fakultät:
- Fakultät für Luftfahrt, Raumfahrt und Geodäsie
- TUM Einrichtung:
- Lehrstuhl für Kartographie
- Bearbeitungsende:
- 12.10.2020
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