Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Sebastian Egli"'
Publikováno v:
Remote Sensing, Vol 15, Iss 7, p 1774 (2023)
Operational weather satellites, dating back to 1970s, currently provide the best basis for climatological investigations, such as an analysis of changes in the cloud cover. Because clouds are highly dynamic in time, temporally high-resolution data fr
Externí odkaz:
https://doaj.org/article/1ad36a1ae47d4bc8a5e426700e824871
Autor:
Sebastian Egli, Martin Höpke
Publikováno v:
Remote Sensing, Vol 12, Iss 23, p 3892 (2020)
Data on the distribution of tree species are often requested by forest managers, inventory agencies, foresters as well as private and municipal forest owners. However, the automated detection of tree species based on passive remote sensing data from
Externí odkaz:
https://doaj.org/article/ed1e633fda9943fa9ffc897af0f132f0
Autor:
Benjamin Rösner, Sebastian Egli, Boris Thies, Tina Beyer, Doron Callies, Lukas Pauscher, Jörg Bendix
Publikováno v:
Energies, Vol 13, Iss 15, p 3859 (2020)
Coherent wind doppler lidar (CWDL) is a cost-effective way to estimate wind power potential at hub height without the need to build a meteorological tower. However, fog and low stratus (FLS) can have a negative impact on the availability of lidar mea
Externí odkaz:
https://doaj.org/article/d773e50688594a2e8e73780391c235dc
Publikováno v:
Remote Sensing, Vol 11, Iss 19, p 2302 (2019)
The lack of long term and well distributed precipitation observations on the Tibetan Plateau (TiP) with its complex terrain raises the need for other sources of precipitation data for this area. Satellite-based precipitation retrievals can fill those
Externí odkaz:
https://doaj.org/article/143f677959de4b83b7039b60b4dff92b
Autor:
Johannes Drönner, Nikolaus Korfhage, Sebastian Egli, Markus Mühling, Boris Thies, Jörg Bendix, Bernd Freisleben, Bernhard Seeger
Publikováno v:
Remote Sensing, Vol 10, Iss 11, p 1782 (2018)
Information about clouds is important for observing and predicting weather and climate as well as for generating and distributing solar power. Most existing approaches extract cloud information from satellite data by classifying individual pixels ins
Externí odkaz:
https://doaj.org/article/28dfdbca8ffd4777a3a2c7439583f045
Publikováno v:
Atmosphere, Vol 8, Iss 8, p 142 (2017)
This study investigates the temporal dynamics of the drop size distribution (DSD) and its influence on the relationship between the liquid water content (LWC) and the radar reflectivity (Z) in fogs. Data measured during three radiation fog events at
Externí odkaz:
https://doaj.org/article/c7d7a8325c294481a5e3970c4d839e40
Publikováno v:
Computers & Geosciences. 128:51-59
Fast Fog and Low Stratus Detection (FFLSD) is a processing tool enabling detection of fog and low stratus (FLS) on very large time-series of Meteosat Second Generation data. We combine approaches for FLS detection by day and night into one homogeneou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcb7bcd7e8dbcc4ca799fea8d042f939
https://doi.org/10.1016/j.cageo.2019.04.003
https://doi.org/10.1016/j.cageo.2019.04.003
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 145:1721-1740
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c73d1b32c47d670dfd9512a26dfd440c
https://doi.org/10.1002/qj.3522
https://doi.org/10.1002/qj.3522
Autor:
Höpke, Sebastian Egli, Martin
Publikováno v:
Remote Sensing; Volume 12; Issue 23; Pages: 3892
Data on the distribution of tree species are often requested by forest managers, inventory agencies, foresters as well as private and municipal forest owners. However, the automated detection of tree species based on passive remote sensing data from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::0efdfccaa5c84a17ad52375ff33f1a47
Autor:
Bendix, Benjamin Rösner, Sebastian Egli, Boris Thies, Tina Beyer, Doron Callies, Lukas Pauscher, Jörg
Publikováno v:
Energies; Volume 13; Issue 15; Pages: 3859
Coherent wind doppler lidar (CWDL) is a cost-effective way to estimate wind power potential at hub height without the need to build a meteorological tower. However, fog and low stratus (FLS) can have a negative impact on the availability of lidar mea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::a8c1ec1859562bdd69588f46a31aafe3