Tocap: a web tool for ad-hoc campaign planning in terrestrial hydrology

Autor: Erik Nixdorf, Daniel Eggert, Peter Morstein, Thomas Kalbacher, Doris Dransch

Publikováno v: Journal of Hydroinformatics, Vol 24, Iss 2, Pp 274-294 (2022)

Planning an event-based monitoring campaign on the regional scale is challenging, e.g. the timing and location of monitoring visits can dramatically impact monitoring efficacy and depends on the optimal environmental conditions required by the measur

Externí odkaz: https://doaj.org/article/ae199d894a194c44ae1f4a7d178ff577

Deep learning, remote sensing and visual analytics to support automatic flood detection

Autor: Binayak Ghosh, Shagun Garg, Mahdi Motagh, Daniel Eggert, Mike Sips, Sandro Martinis, Simon Plank

Publikováno v: Abstracts

Floods can have devastating consequences on people, infrastructure, and the ecosystem. Satellite imagery has proven to be an efficient instrument in supporting disaster management authorities during flood events. In contrast to optical remote sensing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54f9db54ad36ec934c895151113401a3
https://elib.dlr.de/187101/

Data Analysis and Exploration with Scientific Workflows

Autor: Doris Dransch, Daniel Eggert, Nicola Abraham, Laurens M. Bouwer, Holger Brix, Ulrich Callies, Thomas Kalbacher, Stefan Lüdtke, Bruno Merz, Christine Nam, Erik Nixdorf, Daniela Rabe, Diana Rechid, Kai Schröter, Bente Tiedje, Dadiyorto Wendi, Viktoria Wichert

Publikováno v: Integrating Data Science and Earth Science
SpringerBriefs in Earth System Sciences
Dransch, D.; Eggert, D.; Abraham, N.; Bouwer, L.; Brix, H.; Callies, U.; Kalbacher, T.; Lüdtke, S.; Merz, B.; Nam, C.; Nixdorf, E.; Rabe, D.; Rechid, D.; Schröter, K.; Tiedje, B.; Wendi, D.; Wichert, V.: Data Analysis and Exploration with Scientific Workflows. In: Bouwer, L.M.; Dransch, D.; Ruhnke, R.; Rechid, D.; Frickenhaus, S.; Greinert, J. (ed.): Integrating Data Science and Earth Science : Challenges and Solutions. Cham: Springer, 2022. 55-84. (DOI: /10.1007/978-3-030-99546-1_5) (ISBN: 978-3-030-99545-4)
Integrating Data Science and Earth Science ISBN: 9783030995454

Geoscientific data analysis has to face some challenges regarding seamless data analysis chains, reuse of methods and tools, interdisciplinary approaches and digitalization. Computer science and data science offer concepts to face these challenges. W

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23731201a1f20495b5caa303e80c68a2
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5012690

Multi-source flood mapping for rapid impact assessment

Autor: Max Steinhausen, Kai Schröter, Heidi Kreibich, Bruno Merz, Fabio Brill, Stefan Lüdtke, Daniel Eggert

Globally increasing flood losses due to anthropogenic climate change and growing exposure underline the need for effective emergency response and recovery. Knowing the inundation situation and resulting losses during or shortly after a flood is cruci

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1a8961b9b106616d3ff7bd3985f21b49
https://doi.org/10.5194/egusphere-egu21-6483

A web-based visual-analytics tool for ad-hoc campaign planning in terrestrial hydrology

Autor: Erik Nixdorf, Daniel Eggert, Peter Morstein, Thomas Kalbacher, Doris Dransch

A deeper understanding of the Earth system as a whole and its interacting sub-systems depends, perhaps more than ever, not only on accurate mathematical approximations of the physical processes but also on the availability of environmental data acros

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d5ed51ed3aa85a210142fb6790099f82
https://doi.org/10.5194/egusphere-egu21-3951