The Scandinavian Historical Flooding Database is a comprehensive archive of historical inland flooding in Norway and Sweden from the year 1345 to the present day. It covers...

Historical daily rainfall data (mm) between 1948 to 2014, obtained from weather stations in each division of the country. The data follows the format of:: Station (Weather...

The dataset represents more than 145 thousands buildings together with their related number of floors. Such value has been derived automatically using artificial intelligence...

A catalogue of typhoons making landfall in China based on the CMA best track data. Parametric insurance relevant variables have been derived using the methodology described in...

ARIA Technologies provides air quality modelling data worldwide. Modelling systems have the advantage to offer a continuous visualization of the quality of the air we breath in...

Food data for the River Wey and Wey navigation for Byfleet area 2018. The simulation is based on a digital elevation model (DEM) with a spatial resolution of 25 x 25 meters. The...

Full dataset availability covers Malawi. This is a dataset available for purchase under license. If you are interested in the wider dataset please contact us through the Get...

Rivers across Queensland continue to carry major flood warnings as record-breaking rainfall exacerbates flooding across the Australian state. JBA has produced an event footprint...

43 Different datasets of Historical Flood Developed by Queensland Government.

This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: name building building:levels building:materials...

The Swedish flood dataset shows the area flooded with a severe flood having a 5m out-of-bank flood depth. The data was generated by attributing the 5m depth to selected main...

The data was generated by attributing the 5m depth to selected main river reaches then using cell-based modelling routines in ArcGIS using the SRTM 90m resolution DTM. In many...

The Norwegian flood dataset shows the area flooded with a severe flood having a 5m out-of-bank flood depth. The data was generated by attributing the 5m depth to selected main...

In the attached map, we combined several sources: Locations of waterlevel stations and their respective excess water levels (cms above danger level) at 14/08/2017 Source:...

This dataset contains the daily summaries on base stations across Bangladesh. The four indicators included are: TPCP: Total precipitation MXSD: Maximum snow depth TSNW: Total...

This shape file consists of consolidated history of tropical storm paths over the past 50 years in the West Pacific, South Pacific, South Indian and North Indian basin....

Typhoon Mangkhut (Ompong) Who does What Where (3W) matrix

The predicted priority index of Typhoon Haima is produced by a machine learning algorithm that was trained on four past typhoons: Haiyan, Melor, Hagupit and Rammasun. It uses...

This map illustrates satellite-detected surface water extent in the northeastern part of Bangladesh using a Sentinel-1 satellite image acquired on the 15 June 2018. In the...

This map illustrates satellite-detected surface water extent in the central part of Bangladesh using a Sentinel-1 satellite image acquired on the 12 August 2017 with a total...