> For the complete documentation index, see [llms.txt](https://hydrosense.gitbook.io/ildas/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hydrosense.gitbook.io/ildas/readme.md).
# ILDAS
## Indian Land Data Assimilation System (ILDAS)
The Indian Land Data Assimilation System (ILDAS) is a high-resolution integrated hydrologic-hydrodynamic modeling system for simulating land surface states, channel discharge, and floodplain inundation. It is developed at the [HydroSense Lab of IIT Delhi](https://hydrosense.iitd.ac.in/), with initial funding provided by the Indian Space Research Organization (ISRO) through the [Space Applications Center, Ahmedabad](https://www.sac.gov.in/).
### Features
* Multiple seamlessly integrated hydrologic and hydrodynamic models
* Data assimilation of satellite remote sensing products
* Fully parallelized and Supercomputing-ready
* Machine Learning for Parameter Estimation and Postprocessor
* End-to-end orchestration, visualization, and validation suite (pyILDAS)
### Current Capabilities
{% tabs %}
{% tab title="Hydrologic Models" %}
* Noah MP Land Surface Model
* Catchment Land Surface Model (CLSM)
* Ensemble Framework for Flash Flood Forecasting (EF5)
* More to be added soon.
{% endtab %}
{% tab title="Hydrodynamic Models" %}
* MizuRoute (1D)
* Triton (2D GPU)
* HyMAP (1D)
{% endtab %}
{% tab title="Data Assimilation" %}
* Satellite Soil Moisture
* Dynamic Vegetation
{% endtab %}
{% tab title="Products" %}
* Hydrologic Model Outputs
* Soil Moisture
* Evapotranspiration
* Runoff
* Hydrodynamic Model Outputs
* Streamflow
* Flooded Fraction
* Inundation
{% endtab %}
{% endtabs %}
