Part of the Memory-Efficient I/O-Improved Drainage Analysis System (MIDAS)

Citation: Huidae Cho, September 2026. Flow in Float: Memory-Efficient Upstream Flow Length Parallel Computation Using an IEEE-754-Based Union Encoding. Environmental Modelling & Software 204, 107045. doi:10.1016/j.envsoft.2026.107045. Author's Version.

Predefined flow direction encodings in GeoTIFF: power2 (default, r.terraflow, ArcGIS), taudem (d8flowdir), 45degree (r.watershed), degree

Custom flow direction encoding is also possible by passing -e E,SE,S,SW,W,NW,N,NE (e.g., 1,8,7,6,5,4,3,2 for taudem).

You can find test data at https://data.isnew.info/meufl.html.

1. First, install the GDAL library.
2. Build meufl

make

or

mkdir build
cd build
cmake ..
make

1. Install Visual Studio Community Edition. Select these two components:
   • MSVC v143 - VS 2022 C++ x64/x86 build tools (Latest)
   • Windows 11 SDK (10.0.26100.0)
2. Install Git for Windows
3. Install Miniconda

curl -O https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe
Miniconda3-latest-Windows-x86_64.exe /S /D=C:\opt\miniconda
C:\opt\miniconda\condabin\conda.bat init

4. Start Developer Command Prompt for VS 2022
5. Setup Conda for MEUFL build

conda config --add channels conda-forge
conda config --set channel_priority strict
conda create -n meufl cmake libgdal
conda activate meufl

6. Download the source code

cd \opt
git clone git@github.com:HuidaeCho/meufl.git
cd meufl
mkdir build
cd build

7. Build meufl

cmake ..
msbuild meufl.sln -p:configuration=release

or

cmake ..
cmake --build . --config Release

or

cmake -DCMAKE_CONFIGURATION_TYPES=Release
msbuild meufl.sln

8. Find meufl.exe in Release\meufl.exe