Open Webinar: Water Bodies (Rivers) Delineation with Python, Rasterio and Fiona

The process of retrieving information from satellite imagery could be time consuming and faces challenges like image resolution, feature recognition and user criteria. With the use of band combination together with geospatial tools in Python we can delineate water bodies as rivers from panchromatic /multiband images with results as geospatial shapefiles. This webinar will cover the delimitation of water bodies as rivers from a panchromatic Landsat 8 image. The webinar shows a mixed procedure that creates a high contrast image for rivers with Python and Rasterio , then polygonizes the image array and exports the river edges as a georeferenced Shapefile.

Intructor / 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:

Tuesday, January 11, 2022 6:00 p.m. Amsterdam Time

Hosted by / Organizado por:

Hatarilabs

Stream link / Enlace de transmisión:

https://meet.google.com/dso-wndq-eyc

Input data / Datos de entrada:

https://owncloud.hatarilabs.com/s/sKZYdVqCJCXi3Ss

Additional instructions / Instrucciones adicionales:

Password to download input data: Hatarilabs. You need Anaconda installed on your computer. Please download it from this link: https://www.anaconda.com/products/individual You will need a conda environment with geospatial tools for the webinar. Create the environment following this link: https://hatarilabs.com/ih-en/how-to-install-python-geopandas-in-windows-on-a-conda-environment-tutorial