Topobathymetric elevation generation for flood modeling with geospatial Python

Elevation maps that represent surface and river bathymetry are an essential input for flood modeling in software like HEC-RAS. Even with the latest version of high profile open source GIS software as QGIS the combination of a surface elevation map and a river bottom elevation map is a challenge that requires many turnaround, conversion and manual labour. We have developed a useful script that works with surface and river bottom elevation in a "smart" way and creates a geospatial raster with the topobathymetric elevation by the use of geospatial Python libraries as Shapely and Rasterio. The script also includes some key steps to identify the river body and treat the missing values on the bathymetry map.

Instructor / Instructor:

Saul Montoya M.Sc

Hydrogeologist - Numerical Modeler

Mr. Montoya is a Civil Engineer graduated from the Catholic University in Lima with postgraduate studies in Management and Engineering of Water Resources (WAREM Program) from Stuttgart University – Germany with mention in Groundwater Engineering and Hydroinformatics. Mr Montoya has a strong analytical capacity for the interpretation, conceptualization and modeling of the surface and underground water cycle and their interaction. He is in charge of numerical modeling for contaminant transport and remediation systems of contaminated sites. Inside his hydrological and hydrogeological investigations Mr. Montoya has developed an holistic comprehension of the water cycle, understanding and quantifying the main hydrological dynamic process of precipitation, runoff, evaporation and recharge to the groundwater system.

Language / Lenguaje:

English

Event date / Fecha del evento:

Wednesday, Jan 8 2025 6:00 p.m. Amsterdam Time

Hosted by / Organizado por:

Hatarilabs

Stream link / Enlace de transmisión:

https://meet.google.com/cvn-kpni-ska

Input data / Datos de entrada:

https://owncloud.hatarilabs.com/s/RpkGwYh8NHUXKje

Additional instructions / Instrucciones adicionales:

Password to download data: Hatarilabs