Das Rain Area Delineation Scheme RADS
archiv.ub.uni-marburg.de
von T Nauss — Nauss, T., A. A. Kokhanovsky, J. Cermak, C. Reudenbach und J. Bendix 2005: Satellite based retrieval of cloud properties and their. › diss › pdf › dtn
Artificial intelligence and remote sensing for spatial prediction ...
www.tandfonline.com
von M Meliho · — [Crossref], [Web of Science ®], [Google Scholar]; Meyer, H., C. Reudenbach, M. Ludwig, T. Nauss, and E. Pebesma “Package 'CAST'. › full
CiteSeerX — PROCESS ORIENTED RAINFALL RATE ...
citeseerx.ist.psu.edu
von B Thies — author = {B. Thies and T. Nauss and C. Reudenbach and J. Bendix}, title = {PROCESS ORIENTED RAINFALL RATE ASSIGNMENT BASED ON CLOUD PROPERTIES}, year = {} } ... › viewdoc
Collecting Data for Urban Building Energy Modelling - ELIB-DLR
elib.dlr.de
von P Gorzalka — Meyer, H., C. Reudenbach, S. Wöllauer, and T. Nauss. (2019). Importance of spatial predictor variable se- lection in machine learning applications – Moving. › _Gorzalka_Philip
Contextualizing Space and Time for GeoAI JITAIs (Just-in ...
dl.acm.org
von JA Yang · · Zitiert von: 2 — [3] H. Meyer, C. Reudenbach, S. Wöllauer, and T. Nauss. Accepted. Importance of spatial predictor variable selection in machine learning applications › doi › pdf
Operational rainfall retrieval based on cloud microphysics
www.isac.cnr.it
von T Nauss — T. Nauss, C. Reudenbach and J. Bendix. Laboratory for Climatology and Remote Sensing LCRS. Department of Geography, University of Marburg. Deutschhausstr. › meetings › pdf › Nauss
Future seasonal changes in habitat for Arctic whales Science
www.science.org
von P Chambault · — Meyer, C. Reudenbach, T. Hengl, M. Katurji, T. Nauss, Improving performance of spatio-temporal machine learning models using forward feature selection and ... › doi › abs
Older Stuff - IUP Bremen
www.iup.uni-bremen.de
/36, ; A. A. Kokhanovsky, V. V. Rozanov, T. Nauss, C. Reudenbach, J. S. Daniel, H. L. Miller, J. P. Burrows, 2005: The semianalytical cloud retrieval ... › o...
Alle Infos zum Namen "C. Reudenbach"
CGMS-IPWG, Workshop Monterey 2004
www.isac.cnr.it
Operational Rainfall Retrieval Based on Cloud Microphysical Properties T. Nauss , C. Reudenbach, and J. Bendix; Precipitation Observational Capabilities at the ...
Operational Identification and Visualisation of Cloud Processes for ...
www.semanticscholar.org
T. Nauss, C. Reudenbach, +1 author. J. Bendix · Published · Environmental Science. › ...
[PDF] Operational rainfall retrieval based on cloud microphysical...
www.semanticscholar.org
MICROPHYSICAL PROPERTIES. T. Nauss, C. Reudenbach and J. Bendix. Laboratory for Climatology and Remote Sensing LCRS. Department of Geography ...
Special issue – Probing the atmosphere in three dimensions ...
acp.copernicus.org
A. A. Kokhanovsky, V. V. Rozanov, T. Nauss, C. Reudenbach, J. S. Daniel, H. L. Miller, and J. P. Burrows. Atmos. Chem. Phys., 6, 1905–1911, ... › articles
The semianalytical cloud retrieval algorithm for SCIAMACHY ...
hal.archives-ouvertes.fr
von AA Kokhanovsky · · Zitiert von: 10 — A. A. Kokhanovsky, V. V. Rozanov, T. Nauss, C. Reudenbach, J. S. Daniel, et al.. The semianalytical cloud retrieval algorithm for SCIAMACHY ? › ha...
How to encode slope aspect (and other cyclic variables) in ...
geods.netlify.app
— Meyer, H., C. Reudenbach, S. Wöllauer, and T. Nauss “Importance of Spatial Predictor Variable Selection in Machine Learning ... › post › di...
The semianalytical cloud retrieval algorithm for SCIAMACHY I. The...
hal.archives-ouvertes.fr
A. A. Kokhanovsky, V. V. Rozanov, T. Nauss, C. Reudenbach, J. S. Daniel, et al.. The semianalytical cloud retrieval algorithm for SCIAMACHY I. The validation.
The 1st Artificial Intelligence for Copernicus Workshop ...
atmosphere.copernicus.eu
— H. Meyer, C. Reudenbach and T. Nauss, Uni. Muenster and Uni. Marburg, Machine Learning applications in environmental remote-sensing: moving ... › ...
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