Welcome to Flood-Mapping documentation
Flood mapping and water bodies detection with the aid of computers and remote sensing imagery (satellites, airplanes and drones) requires cross-disciplinary but easy access information. The purpose of this online tutorial is to guide newcomers through the basic terminology with essential concepts and references, while they start capacity building or self-education programmes. All is based on the experience of over 12 international seminars in LATAM and MENA countries, face to face or remotely, and between 20-40 lecturing hours each, developed since 2017.
Note
The Chrome browser translation facility to spanish (ESP: usá el traductor de Chrome a español) has been proven right for this site. This project is under active development, promoted by ivillanueva.earth since March 2022.
Contents
- Wet-Dry front dynamics
- Conservation laws and Domain meshing for numerical simulations
- Digital Elevation Models
- Large Scale Modelling assisted by Satellite imagery and Artificial Intelligence
- Difussion-Wave or Zero-Inertia approximation
- Satellite Optical and IR bands to detect water bodies: MNDWI index
- Altimetry fundamentals
- Image processing: noise filtering
- Image processing: edge detectors and buffers
- Image analysis: RS change detection synergy with Deep Learning from Simulations
- Setting up a Convolutional Neural Network like U-Net
- Global surface water mapping
- Google-Earth-Engine practical cases
- Drones + LSPIV: local flow-speed measurements
- Post-flood disaster evaluation study
- Concluding remarks and what’s next
- Historical reviews
- Operational issues and appendixes