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Data Mining Solutions Center is a collaborative portal for creating and sharing standards-based data mining workflows in a secure environment. The portal allows registered users to utilize computational resources at UAHuntsville to execute mining workflows requiring large computational horsepower. In addition, these users can search, find and move distributed data to the computational resource seamlessly via the portal.  The portal is built using Talkoot technology.

Latest Science Stories

Discerning the combustible substance type based on smoke signatures in satellite imagery

Rahul Ramachandran

Information Technology and...

Detection of smoke in a satellite image is a required to study and retrieve physical, chemical, and optical properties of smoke and also forms a crucial part in fire-management systems. There...

Latest Experiments

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Rahul Ramachandran University of Alabama Huntsville
Convective Cumulus Cloud Classification using Structural Thresholding

Generate convective cumulus cloud mask from MODIS data using structural thresholding algorithm described in Nair et al [1]. 

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Uday Shankar Nair ESSC/University of Alabama Huntsville
Case Study on Volcanic Ash/Steam Detection

This case study looks at applying supervised classification technique to detect and identify volcanic ash/steam plume.  Volcanic eruptions...

Rahul Ramachandran University of Alabama Huntsville

Published Workflows

Sample workflow to test utilities.

This utility workflow converts MODIS L1B 1Km data to GLIDER internal format (*.gld). The...

The workflow creates a convective cumulus cloud mask using the structural thresholding...

Workflow uses the statistics (model) generated by the Bayes Train step. The Bayes classifier...

Simple one step workflow used to train a Bayes classifier.

This workflow contains two steps. The first step removes the unwanted spectral bands. For this...

Workflow contains multiple steps.

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Workflow contains multiple steps.

1. Removes the unwanted spectral bands from both...