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Global Preconditioned DEM Workflow

Overview

This document outlines the process for creating a global preconditioned Digital Elevation Model (DEM) using ALOS data from Google Earth Engine (GEE). The workflow includes:

  1. Extracting the DEM from GEE
  2. Downloading the DEM tiles
  3. Stitching the DEM into a global dataset
  4. Parallelized pit-filling using HydroBASINS subwatersheds
  5. Multi-Flow Direction (MFD) routing on the processed DEM

Steps

1. Extract ALOS DEM from Google Earth Engine

A script is needed to retrieve ALOS DEM data from GEE. The script should:

  • Access ALOS DEM from GEE.
  • Define the global extent of the DEM.
  • Export the DEM in manageable tiles.

2. Download DEM Tiles

Once exported, a process is required to:

  • Copy the tiles from GEE to local storage or cloud storage.
  • Maintain metadata for merging and processing.

3. Stitch the DEM into a Global Dataset

To create a seamless global DEM:

  • Merge the downloaded tiles.
  • Ensure proper alignment and resolution consistency.
  • Handle any missing data or artifacts.

4. Parallelized Pit-Filling using HydroBASINS Subwatersheds

Pit-filling is required to remove sinks and depressions. This can be parallelized using HydroBASINS subwatersheds:

  • Divide the global DEM into subwatershed regions.
  • Assign each region to a processing unit.
  • Apply pit-filling algorithms (e.g., Wang & Liu or FillDepressions).
  • Merge the processed outputs while ensuring hydrological consistency.

5. Multi-Flow Direction (MFD) Routing

Once pit-filled, the DEM should be hydrologically conditioned using MFD:

  • Compute flow directions using MFD.
  • Generate flow accumulation layers.
  • Verify consistency across boundaries.

Next Steps

  • Implement the GEE script to extract ALOS DEM.
  • Develop a download automation script.
  • Identify a tool or library to merge tiles.
  • Determine best practices for parallel pit-filling.
  • Set up MFD routing and validation.

About

Data pipeline to precondition a very large, possibly global, dem

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