The Hydroinformatics research in our group is concerned with developing technologies for handling large datasets and using them to perform scientific investigations that would otherwise not be possible. This active area of research requires background in computation, visualization and programming; GIS; and knowledge of the scientific field.

Using D2K Data Mining Platform for Understanding the Dynamic Evolution of Land Surface Variables

* ESTC Conference Paper

* NASA Annual Report 2005

* Download GeoLearn Software

* GeoLearn Users Manual

Understanding Vegetation Variability and its Hydroclimatological Dependence using  Machine Learning Techniques.

 

Development of Informatics Infrastructure for Hydrologic Science

* HIS Report (CUAHSI)

* Modelshed

* CUAHSI Hydrologic Information System Project

 

Development of Digital Library for the Illinois River Basin Observatory

* IRBO Website

 

Current Projects