Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Céline Portenier"'
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4730 (2022)
Snow cover is of high relevance for the Earth’s climate system, and its variability plays a key role in alpine hydrology, ecology, and socioeconomic systems. Measurements obtained by optical satellite remote sensing are an essential source for quan
Externí odkaz:
https://doaj.org/article/797305ff946a4c2eaaee228a329cc1bd
Estimating snow line elevation using publicly available webcam images and Sentinel-2 snow cover maps
Publicly available webcam images offer an enormous potential to study the variability of snow cover on a high spatio-temporal scale. Such cameras allow detailed analyses of snow cover on steep slopes due to their oblique view on the mountains and can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6422c0b03345d848a3bcaf85f9040a06
https://doi.org/10.5194/egusphere-egu2020-14513
https://doi.org/10.5194/egusphere-egu2020-14513
Publikováno v:
Target and Background Signatures V.
Reduced visibility and adverse cloud cover is a major issue for aviation, road traffic, and military activities. Synoptic meteorological stations and LIDAR measurements are common tools to detect meteorological conditions. However, a low density of m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73af037d32777d692913e0a2cfe5e571
https://doi.org/10.1117/12.2533237
https://doi.org/10.1117/12.2533237
Publikováno v:
Portenier, Céline; Hüsler, Fabia; Härer, Stefan; Wunderle, Stefan (2020). Towards a webcam-based snow cover monitoring network: methodology and evaluation. The Cryosphere, 14(4), pp. 1409-1423. Copernicus Publications 10.5194/tc-14-1409-2020
The Cryosphere, Vol 14, Pp 1409-1423 (2020)
The Cryosphere, Vol 14, Pp 1409-1423 (2020)
Snow cover variability has a significant impact on climate and the environment and is of great socioeconomic importance for the European Alps. Terrestrial photography offers a high potential to monitor snow cover variability, but its application is o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca3f1fefed40a7f74669bd1a9fde5b8a
https://doi.org/10.5194/tc-2019-142
https://doi.org/10.5194/tc-2019-142
Autor:
Robert Brügger, Céline Portenier, Peter Bangerter, François Jeanneret, August Bernasconi, Lukas Simon Meyer, Leonie Villiger, Christian Röthlisberger, Yuri Brugnara, Stefan Brönnimann, Daria Lehmann, Bruno Messerli, This Rutishauser
Publikováno v:
Rutishauser, This; Jeanneret, François; Brügger, Robert; Brugnara, Yuri; Röthlisberger, Christian; Bernasconi, August; Bangerter, Peter; Portenier, Céline; Villiger, Leonie; Lehmann, Daria; Meyer, Lukas Simon; Messerli, Bruno; Brönnimann, Stefan (2019). The BernClim plant phenological data set from the Canton of Bern (Switzerland) 1970–2018. Earth System Science Data Discussions Copernicus 10.5194/essd-2019-101
Earth System Science Data, Vol 11, Pp 1645-1654 (2019)
Earth System Science Data, Vol 11, Pp 1645-1654 (2019)
In 1970, the Institute of Geography of the University of Bern initiated the phenological observation network BernClim. Seasonality information from plants, fog and snow was originally available for applications in urban and regional planning and agri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a14b8ac805825667e55cb81e9038865e
https://doi.org/10.5194/essd-2019-101
https://doi.org/10.5194/essd-2019-101