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Karin Allenbach

Researcher at University of Geneva

Publications -  19
Citations -  777

Karin Allenbach is an academic researcher from University of Geneva. The author has contributed to research in topics: Land cover & Coastal erosion. The author has an hindex of 9, co-authored 19 publications receiving 691 citations. Previous affiliations of Karin Allenbach include United Nations Environment Programme.

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Synchrony of the Central Atlantic magmatic province and the Triassic-Jurassic boundary climatic and biotic crisis

TL;DR: In this paper, the authors investigated the relationship between the Tr-J boundary and the Central Atlantic magmatic province's volcanism and found that the development of the province straddled the boundary and thus may have had a causal relationship with the climatic crisis and biotic turnover demarcating the boundary.
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Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD)

TL;DR: This paper presents an approach to enable rapid data access and pre-processing to generate ARD using interoperable services chains and has been tested and validated generating Landsat ARD while building the Swiss Data Cube.

After the tsunami: Rapid Environmental Assessment

TL;DR: This book will not make you feel bored while reading, and after the tsunami rapid environmental assessment really offers what everybody wants.
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Black Sea beaches vulnerability to sea level rise

TL;DR: In this article, the authors present the first comprehensive digital record of all Black Sea beaches and provide a rapid assessment of their erosion risk under different scenarios of sea level rise, and they also provide broad information on the spatial characteristics and other attributes of all black Sea beaches (e.g. photo-based visual estimation of the sediment type, presence of coastal defences, urban development).
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Live Monitoring of Earth Surface (LiMES): A framework for monitoring environmental changes from Earth Observations

TL;DR: The LiMES framework can help to reduce the gap between massive volumes of EO data and the users such as International Organizations in order to help them better fulfil their environmental monitoring mandates by bringing raw data to a level which can be used by non-remote sensing experts for basic impacts assessments.