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

DASF: A data analytics software framework for distributed environments

Autor: Daniel Eggert, Mike Sips, Philipp S. Sommer, Doris Dransch

Publikováno v: Journal of Open Source Software

The success of scientific projects increasingly depends on using data analysis tools and data in distributed IT infrastructures. Scientists need to use appropriate data analysis tools and data, extract patterns from data using appropriate computation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::434459ac717ad4ecb4c75ca364378ac8
https://doi.org/10.21105/joss.04052

Climate Change Explorer: Extracting localized data for developing Climate Services

Autor: Diana Rechid, Bente Tiedje, Susanne Pfeifer, Daniel Eggert, Christine Nam

Everyone, politicians, public administrations, business owners, and citizens want to know how climate changes will affect them locally. Having such knowledge offers everyone the opportunity to make informed choices and take action towards mitigation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::783baa3b3312945bcf8f49a4c2119884
https://doi.org/10.5194/egusphere-egu21-12336