Working with Python give us more control on the geoprocessing itself since we leave the Graphical User Interface (GUI) with its icons, buttons and dialog boxes. With Python running on a Jupyter Notebook, we can work with specific files, define geoproceses and it options, make plots of draft and final data, and export results to vector/raster SIG formats. There are other advantages of spatial analysis in Python which are the reproducibility and the processing speed.
Pysheds is a Python 3 package designed for watershed delimitation and stream network extraction. This library requires a set of advanced data processing and spatial analysis libraries as Numpy, Pandas, Scipy, Scikit-Image, Rasterio and others.
Content
The webinar covers the complete procedure on a Jupyter Notebook with Python and Pysheds to :
Import a digital elevation model
Fills sinks
Determination of flow direction raster
Watershed delimitation
Analysis of flow accumulation raster
Extraction of stream network and watershed as geospatial files
Instructor
Saul Montoya M.Sc.
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.
Date and time
Tuesday January 26, 2021 from 5 to 6:30 pm. New York time (EST)
Estimated duration: 1:30h.
Participation
This webinar is intended for normal water resources professionals and will be given in our elearning platform: elearning.hatarilabs.com. The workshop has no cost.
Instructions for the registration and the webinar requirements are shown in the following video.
