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

Author(s)

Ogashawara, Igor ^[1] ; Curtarelli, Marcelo P. ^[1] ; Souza, Arley F. ^[2] ; Augusto-Silva, Petala B. ^[1] ; Alcantara, Enner H. ^[3] ; Stech, Jose L. ^[1]

Affiliation

^[1] Natl Inst Space Res INPE, Remote Sensing Div, BR-12227010 Sao Jose Dos Campos, SP - Brazil

^[2] ETEP Faculdades, BR-12242800 Sao Jose Dos Campos, SP - Brazil

^[3] State Univ Sao Paulo, Cartog Dept, BR-19060900 Presidente Prudente, SP - Brazil

• Document type: Journal article
• Source: REMOTE SENSING; v. 6, n. 4, p. 3059-3074, APR 2014.
• Web of Science Citations: 5

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. (AU)

• FAPESP's process: 11/19523-8 - Developing a semi-analytical model to study the chlorophyll-a concentration and the trophic state of tropical hydroelectric reservoirs
• Grantee: José Luiz Stech
• Support Opportunities: Regular Research Grants