Deep Terrain Routing Lab

Overview

The Deep Terrain Routing Lab is aimed at developing ML tools for studying and predicting surface water flow across terrain.

Project Components

1. Synthetic Dataset Generation

This component focuses on creating synthetic datasets for training and validating our terrain routing models:

• Synthetic Digital Elevation Models (DEM): Generate DEMs that represent realistic topographical features.
• Synthetic Precipitation Layers: Simulate precipitation events driving surface water response.

2. Terrain Routing Simulation

Simulate water flow across the synthetic DEMs to represent hydrologic response under varying atmospheric and terrain conditions.

3. Deep Learning Model for Terrain Routing

Develop a neural network model to predict the distribution of water across the terrain rainfall.