EOLDAS software allows the optimal estimation of (mainly land surface, mainly vegetation) state variables (e.g. quantifying how much vegetation there is at a particular time and place) from remote radiometric (Earth Observation) data.
EOLDAS is written in Python and provides an easy way to implement and test out advanced DA concepts. It should be portable to most computer systems with a sane Python installation and a FORTRAN compiler.
The EOLDAS web pages document, amongst other things, the installation, current capabilities, and limitations of the software. The documentation for EOLDAS is available here.
The Current release is: Prototype