floosdimilarity - a python module to compute the similarity between multiple flood events

DOI

floodsimilarity provides classes and methods to conduct a similarity analysis between multiple flood events. The library mainly consists of two parts:
(1) algorithms to compute indices and other statistics based on pandas and xarray
(2) well-defined data structures for data exchange (e.g. through the Similarity Backend Module)

floodsimilarity is used by the Digital Earth Similarity Backend Module (Eggert, 2021) as part of the Digital Earth Flood Event Explorer. It is developed at the GFZ German Research Centre for Geosciences and funded by the Initiative and Networking Fund of the Helmholtz Association through the Digital Earth project.

Copyright © 2022 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences,
Potsdam, Germany

Licensed under the Apache License, Version 2.0 (the "License"); you may not use these files except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Identifier
DOI https://doi.org/10.5880/GFZ.4.4.2022.001
Related Identifier https://git.geomar.de/digital-earth/floodsimilarity
Related Identifier https://digital-earth.pages.geomar.de/floodsimilarity/
Related Identifier https://www.digitalearth-hgf.de/
Related Identifier https://doi.org/10.5880/GFZ.1.4.2022.001
Related Identifier https://doi.org/10.5880/GFZ.1.4.2022.003
Related Identifier https://doi.org/10.5281/zenodo.5801319
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7369
Provenance
Creator Lüdtke, Stefan ORCID logo; Eggert, Daniel ORCID logo; Wendi, Dadiyorto (ORCID: 0000-0002-9789-579X); Schröter, Kai ORCID logo
Publisher GFZ Data Services
Contributor Lüdtke, Stefan; Eggert, Daniel; Wendi, Dadiyorto; Schröter, Kai
Publication Year 2022
Funding Reference Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
Rights Apache License, Version 2.0; Copyright (C) 2022 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences; http://www.apache.org/licenses/LICENSE-2.0
OpenAccess true
Contact Lüdtke, Stefan (GFZ German Research Centre for Geosciences)
Representation
Resource Type Software
Discipline Geosciences