Collection of global datasets for the study of floods, droughts and their interactions with human societies

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Dataset information

Country of origin
Updated
2020.03.06 00:00
Created
2020.01.01
Available languages
English
Keywords
Water management, Flood, Earth Observation, Remote Sensing, Hydrological extremes, Drought, Vulnerability data, Hydrological dynamics, GIS, Hydrographic data, Population data, Land cover data, Irrigation data
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Dataset description

This is a collection of 134 global and free datasets allowing for spatial (and temporal) analyses of floods, droughts and their interactions with human societies. We have structured the datasets into seven categories: hydrographic baseline, hydrological dynamics, hydrological extremes, land cover & agriculture, human presence, water management, and vulnerability. Please refer to Lindersson et al. (2020) for further information about review methodology. The collection is a descriptive list, holding the following information for each dataset:  Category - as structured in Lindersson et al. (2020). Sub-category- as structured in Lindersson et al. (2020). Abbreviation -  official or as specified in Lindersson et al. (2020). Title - full title of dataset. Product(s) - type of product(s) offered by the dataset. Period - time period covered by the dataset, not defined for all datasets. Temporal resolution - not defined for static datasets. Angular spatial resolution - only defined for gridded datasets. Metric spatial resolution - only defined for gridded datasets. Map scale Extent - geographic coverage of dataset given in latitude limits. Description Creating institute(s) Data type - raster, vector or tabular. File format Primary EO type - specifies if the product primarily is based on remote sensing, ground-based data, or a hybrid between remote sensing and ground-based data. Data sources - lists the data sources behind the dataset, to the extent this is feasible. Data sources also in this table - data sources that are also included as datasets in this collection. Intentionally compatible with - defines other datasets in this collection that the dataset is intentinoally compatible with. Citation - dataset reference or credit. Documentation - dataset documentation. Web address - dataset access link. NOTE: Carefully consult the data usage licenses as given by the data providers, to assure that the exact permissions and restrictions are followed.
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32
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2019
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