Published February 28, 2020 | Version 2.0
Dataset Open

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

  • 1. Uppsala University, Sweden
  • 2. KTH Royal Institute of Technology, Sweden

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.

Files

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Additional details

Funding

HydroSocialExtremes – Uncovering the Mutual Shaping of Hydrological Extremes and Society 771678
European Commission