DeDop³

DeDop is a User Configurable Tool for Processing Delay Doppler Altimeter Data. "DeDop" stands for Delay Doppler (Altimeter) Processor.

For more information about the project please visit www.dedop.org. For more information about the software have a look into the DeDop User Manual.

setup.py - main build script to be run with Python 3.5
dedop/ - main package and production code
test/ - test package and test code
docs/ - documentation in Sphinx/RST format
notebooks/ - some IPython notebooks demonstrating the use of the DeDop Python API

Installation using installer (recommended)

Instructions on how to get the installer and how to install are available here.

Installation from Sources

Using Conda

We recommend installing DeDop into an isolated Python 3 environment, because this approach avoids clashes with existing versions of DeDop's 3rd-party module requirements. We recommend using Conda (Miniconda or Anaconda) which will usually also avoid platform-specific issues caused by module native binaries.

Creating an isolated environment for DeDop. This will require around 2.2 GB disk space on Linux/Darwin and and 1.2 GB on Windows. To create a new DeDop environment dedop in your Anaconda/Miniconda installation directory, type:

$ conda env create --file environment.yml

If you want the environment to be installed in another location, e.g. due to disk space limitations, type:

$ conda env create --file environment.yml --prefix some/other/location/for/dedop

Next step is to activate the new environment. On Linux/Darwin type:

$ source activate dedop

In case you used another location use it instead of the name dedop. Windows users can omit the source command and just type

> activate dedop

You can now safely install and run DeDop sources into the new dedop environment.

(dedop) $ python setup.py develop

To permanently install DeDop into the Python environment (not recommended while in development mode!), type:

(dedop) $ python setup.py install

Using Standard Python

DeDop requires Python 3.5+.

DeDop can be run from sources directly, once the following module requirements are resolved:

numpy
scipy
netcdf4
numexpr
pyproj

If you like to perform L1B product analysis tasks with DeDop using an IPython Notebook, then also install:

jupyter
ipywidgets
matplotlib
bokeh

The most up-to-date and complete list of module requirements is found in the project's environment.yml file.

To install and run DeDop from sources directly, type:

$ python setup.py develop

To permanently install DeDop into Python (not recommended while in development mode!), type:

$ python setup.py install

Getting started

Command Line Interface

To test the installation from source, first run the DeDop command-line interface. Type

$ dedop -h

More examples are available here http://dedop-core.readthedocs.io/en/latest/manual.html#examples

Web API

This is required by dedop-studio. To start the web API, type:

$ dedop-webapi start

A random port number will be assigned unless explicitly specified on the command like so:

$ dedop-webapi --port 2999 start

To check if the wbe API has started successfully, open your browser and enter the web API URL. The following response should be displayed:

{"status": "ok", "content": {"name": "dedop-webapi", "version": "1.0.0", "timestamp": "2017-05-16"}}

To stop, go to [host_name]:[port_number]/exit on the browser. For example:

127.0.0.1:2999/exit

License

DeDop is distributed under the terms and conditions of the MIT license.

DeDop/dedop-core