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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Improving the spectral unmixing algorithm to map water turbidity Distributions

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Author(s):
Alcantara, Enner [1] ; Barbosa, Claudio [2] ; Stech, Jose [1] ; Novo, Evlyn [1] ; Shimabukuro, Yosio [1]
Total Authors: 5
Affiliation:
[1] INPE, Natl Inst Space Res, Remote Sensing Div, BR-12227010 Sao Jose Dos Campos, SP - Brazil
[2] INPE, Natl Inst Space Res, Image Proc Div, BR-12227010 Sao Jose Dos Campos, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: ENVIRONMENTAL MODELLING & SOFTWARE; v. 24, n. 9, p. 1051-1061, SEP 2009.
Web of Science Citations: 23
Abstract

In this paper we evaluate the suitability of the spectral unmixing algorithm to map the turbidity in the Curuai floodplain lake and enhance its applicability using autocorrelation modelling. The Spectral Unmixing Model (SMM) was applied to a Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance (MOD09) image, taking in-situ measurements close to the acquisition date. Fraction images of inorganic matter-laden water, dissolved organic matter-laden water, and phytoplankton-laden water were generated by SMM, using 4 MODIS spectral bands (blue, green, red, and near infrared). These endmembers were selected based on the dominance of these components, which affect water turbidity. These fraction images allowed assessing the turbidity distribution in the study area but showing only places with high or low turbidity. The kernel estimation algorithm was then used to verify the spatial correlation among the in-situ measurement data. The occurrence of clusters suggests that there are different spatial water regimes. One spatial regression model was then compiled for each water regime, each of which presented a better turbidity estimation as opposed to the one derived from the Ordinary Least Square (OLS). The methodology applied was hence useful to analyze the spatial distribution of turbidity in the Curuai floodplain lake. (C) 2009 Elsevier Ltd. All rights reserved. (AU)