CyberFaCES - Learn: CyberTraining on Geospatial Data Processing using Python for Hydrology (Open Topography)

CyberTraining on Geospatial Data Processing using Python for Hydrology (Open Topography)

3 modules

About

The hands-on tutorial aims to train participants in accessing and processing geospatial data for hydrologic applications using cyberinfrastructure, with a focus on FAIR (Findable, Accessible, Interoperable, and Reusable) data principles. The training will focus on accessing Digital Elevation Model (DEM) data from the OpenTopography for any location in the world, and on processing DEM data for hydrologic applications. Typically, hydrology researchers rely on GUI-based tools such as ArcGIS and QGIS for their geospatial operations. However, performing repetitive tasks on multiple areas of interest can be time-consuming and redundant. By adopting Python-based workflows, participants can streamline these operations and efficiently handle repetitive tasks, leading to increased productivity and minimized redundancy.

Objectives

To gain knowledge in accessing and processing geospatial data for hydrologic applications using Python-based Jupyter Notebooks.
To develop the skills to process digital elevation model (DEM) data specifically tailored for hydrologic applications, enhancing your expertise in the field.
To develop the skills to process digital elevation model (DEM) data specifically tailored for hydrologic applications, enhancing your expertise in the field.

Features
Type	Course
Level	Expert
Length	1 hour

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Modules

[2025 May] Preworkshop Survey

Module 1 •
[OT] Geospatial & Hydrological Science: DEM Processing and Topographic Wetness Index (TWI)

Module 2 •
[2025 May] Post workshop Survey

Module 3 •