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Remote Sens. 2014, 6(4), 3059-3074; doi:10.3390/rs6043059

Interactive Correlation Environment (ICE) — A Statistical Web Tool for Data Collinearity Analysis

1
Remote Sensing Division, National Institute for Space Research (INPE), Avenida dos Astronautas, 1758, São José dos Campos, SP 12227-010, Brazil
2
ETEP Faculdades, Avenida Barão Rio Branco, 882, São José dos Campos, SP 12242-800, Brazil
3
Cartography Department, State University of São Paulo, Rua Roberto Simonsen, 305, Presidente Prudente, SP 19060-900, Brazil
*
Author to whom correspondence should be addressed.
Received: 12 February 2014 / Revised: 27 February 2014 / Accepted: 31 March 2014 / Published: 4 April 2014
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Abstract

Web tools for statistical investigation with an interactive and friendly interface enable users without programming knowledge to conduct their analyses. We develop an Interactive Correlation Environment (ICE) in an open access platform to perform spectral collinearity analysis for biogeochemical activity retrieval. We evaluate its performance on different browsers and applied it to retrieve chlorophyll-a (chl-a) concentration in a tropical reservoir. The use of ICE to retrieve water chl-a concentration got a Root Mean Square Error (RMSE) lower than 7% for seasonal datasets, enhancing ICE's ability to adapt it within season. An RMSE of 17% was found for the mixed dataset with a large range of chl-a concentrations. We conclude that the use of ICE is recommended, due to its quick response, easily manipulation, high accuracy, and empirical adaptation to seasonal variability. Its use is enhanced by the development of hyperspectral sensors, which allow the identification of several biogeochemical components, such as chl-a, phycocyanin (PC), soil salinity, soil types, leaf nitrogen, and leaf chl-a concentration. View Full-Text
Keywords: 2D correlation plot; web tool; correlation; bio-optical; chlorophyll; band ratio 2D correlation plot; web tool; correlation; bio-optical; chlorophyll; band ratio
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Ogashawara, I.; Curtarelli, M.P.; Souza, A.F.; Augusto-Silva, P.B.; Alcântara, E.H.; Stech, J.L. Interactive Correlation Environment (ICE) — A Statistical Web Tool for Data Collinearity Analysis. Remote Sens. 2014, 6, 3059-3074.

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