Hydrology

EGU24 - Modeling suspended sediment concentration using artificial neural networks, an effort towards global sediment flux observations in rivers from space

Session: Hydroinformatics: data analytics, machine learning, hybrid modelling, optimisation.

Invited talk at WorCAP 2023 - Machine Learning on the Environmental Sciences

I will present an overview of my research experiences with Machine Learning (ML) in the areas of Hydrology, Natural Disasters, and Geosciences. We will talk about the main problems that are encountered when modeling environmental systems with ML and …

Opening and visualizing Fmask in QGIS using a Python Console simple code

Today, I am going to present a gist that I developed that separates the masking information contained in a Fmask layer into different bands, to be visualized separately, in QGIS, using the Python Console of QGIS, also known as PyQGIS.

How to use QGIS 3.20+ to generate outstanding river and drainage net map representations

The first thing I thought when I saw the “Interpolated Line” symbology (I described this functionality in another post) was that it would be useful to represent drainage networks. Today, that is what we are exploring. Innovative ways to represent your river network to depict the watershed in an even more elegant and informative way, using the “Interpolated Line” functionality.

Guide to calculate the Vertical Distance to Channel Network (VDCN) step-by-step, tutorial using only open-source GIS software QGIS and SAGA GIS

Today, the post is about how to generate the raster for Vertical Distance to Channel Network (VDCN) using QGIS Raster Calculator, and SAGA on QGIS or command line interface (CLI), step-by-step. Vertical Distance to Channel Network (VDCN) is the vertical distance to the interpolated Channel Network, or the river network of the location.