Big Data Handling and Analysis

Our research uses large datasets that require effective and efficient data handling and analysis. For data handling, we utilize SQL (MySQL and postgreSQL) to organize data in databases. For ingestion and processing of satellite and in situ data, we use Python and Matlab. You can find our finished products on Github - we support open science and look forward to working with you!

Code

Derivative Analysis and Iterative Spectral Evaluation of Absorption (DAISEA)
https://github.com/bricegrunert/daisea
DOI: 10.5281/zenodo.1306817
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Batch Processing of Above-Water Radiometry: Clustering, Quality Control Routines and Calculation of Remotely-Sensed Reflectance in Aquatic Systems
https://github.com/bricegrunert/process_svc
DOI: 10.5281/zenodo.3560293