Alps

Find out about the Alps regional initiative (EO4ALPS)

 

        

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WHY THE ALPS INITIATIVE (EO4ALPS)

The Alps, with their biodiversity capital, water and wood reserves, are the natural, cultural, living and economic environment for nearly 14 million people and an attractive tourist destination for approximately 120 million guests every year. As explained in the EU Strategy for the Alpine Region (EUSALP) the Alpine area is composed of territories with contrasted demographic, social and economic trends and a great cultural and linguistic diversity. There is a growing interest in the implementation of macro-regional strategies to improve cooperation in the Alpine States. In this context, Earth Observation (EO) represents an opportunity to act as a potential catalyst for innovation and growth in the region as well as to face some of the complex issues ongoing in the alpine environment.

ACCESS RELEVANT DOCUMENTATION AND TECHNICAL RESOURCES

A data cube service as Earth Observation Factory

The Geohazards Exploitation Platform enables the exploitation of satellite EO data to support the geohazard community

27-29 June 2018 Innsbruck, Austria

PARTNERS

ALPINE REGIONAL INITIATIVE PROJECTS

LATEST TWEETS AND RELEVANT PAPERS



Light absorption by polluted snow cover: Internal versus external mixture of soot.
Dombrovsky LA and Kokhanovsky AA Journal of Quantitative Spectroscopy and Radiative Transfe - 2020
Near-Real Time Automatic Snow Avalanche Activity Monitoring System Using Sentinel-1 SAR Data in Norway
Markus Eckerstorfer,Hannah Vickers,Eirik Malnes and Jakob Grahn Remote Sensing DOI: 10.3390/rs11232863 - 2019
A complete snow avalanche activity record from a Norwegian forecasting region using Sentinel-1 satellite-radar data
M.Eckerstorfer, E.Malnes, K.Müller Cold Regions Science and Technology DOI: 10.1016/j.coldregions.2017.08.004 - 2017
Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument
Kokhanovsky, A., M. Lamare, O. Danne, C. Brockmann, M. Dumont, G. Picard, L. Arnaud, V. Favier, B. Jourdain, E. Lemeur, B. Di Mauro, T Aoki, M. Niwano, V. Rozanov, S. Korkin,, S. Kipfstuhl, J. Freitag, M. Hoerhold, A. Zuhr, D. Vladimirova, A.-K. Faber, H.C. Steen-Larsen, S. Wahl, J.K. Andersen, B. Vandecrux, D. van As, K.D. Mankoff, M. Kern, E. Zege, and J.E. Box Remote Sensing DOI: 10.3390/rs11192280 - 2019
Retrieval of snow and ice properties from the Sentinel-3 Ocean and Land Colour Instrument
Kokhanovsky, A., M. Lamare, O. Danne, C. Brockmann, M. Dumont, G. Picard, L. Arnaud, V. Favier, B. Jourdain, E. Lemeur, B. Di Mauro, T Aoki, M. Niwano, V. Rozanov, S. Korkin, S. Kipfstuhl, J. Freitag, M. Hoerhold, A. Zuhr, D. Vladimirova, A.-K. Faber, H.C. Steen-Larsen, S. Wahl, J.K. Andersen, B. Vandecrux, D. van As, K.D. Mankoff, M. Kern, E. Zege, and J.E. Box, Remote Sensing DOI: 10.3390/rs11192280 - 2019
A method for automated snow avalanche debris detection through use of synthetic aperture radar (SAR) imaging
H. Vickers, M. Eckerstorfer, E. Malnes, Y. Larsen, H. Hindberg Earth and Space Science DOI: 10.1002/2016EA000168 - 2016