Análise De Imagens Hiperespectrais Pelo Método Multiple Endmember Spectral Mixture Analysis (Mesma) Em Depósito Supergênico De Níquel

Abstract

MULTISPECTRAL ANALYSIS BY THE MULTIPLE ENDMEMBER SPECTRAL MIXTURE ANALYSIS (MESMA) METHODS IN A NICKEL SUPERGENE DEPOSIT The hyperspectral remote sensing provides a large amount of data allowing the development computing methods to improve detection and quantification of the materials that compose a given scene. In that context, the Multiple Endmember Spectral Mixture Models (MESMA) is an approach of the Spectral Mixture Analysis, which defines the best-fit model to describe each pixel. A key problem in this method is the computational time expended. The Spectral Correlation Mapper (SCM) was applied for a pre-classification of the material in order to decrease the computational time. The MESMA routine was developed in IDL language to identify the best-fit models considering the least RMS error. This method was applied to for the Airborne Visible/InfraRed Imaging Spectrometer (AVIRIS) subscene of Niquelândia, Goiás, that includes a lateritic nickel mine. The main minerals present in the weathering profile are: pimelite, saponite, goethite, hematite and kaolinite. The results attest that the calculated relative abundance of the mineral corresponds with field data.

<b>The use of multiple endmember spectral mixture analysis (MESMA) for the mapping of soil attributes using Aster imagery</b> - doi: 10.4025/actasciagron.v35i3.16119

“…Organic matter has a strong influence on soil reflectance. In general, an increase in OM content leads to reduced soil reflectance between 400 to 2500 nm (DEMATTÊ et al, 2003a), allowing for the differentiation of OM classes based on spectral orbital curves. Palacios-Orueta et al (1999), using a modified form of spectral mixture analysis applied to an AVIRIS image collected over two study areas located in California, was able to discriminate the OM contents of soils with a high degree of accuracy.…”

“…Thus, it is possible to have a pixel this is modeled by endmembers that are absent. For example, when considering a scene described by the endmembers vegetation, soil and shade, the calculation of the mixture will be performed based on these three elements, although none of these components may be present for the pixel (CARVALHO JUNIOR et al, 2003).…”

“…This technique has been used for mapping vegetation , mineral deposits (CARVALHO JUNIOR et al, 2003) and wildfire fuels ; however, little is known regarding how MESMA might perform for soils.…”

Sensoriamento remoto e geoprocessamento na caracterização e avaliação pontual e espacial de solos e seus atributos

“…Desta forma, pode-se ter um pixel modelado por membros finais que nele sejam inexistentes. Considerando-se uma cena descrita pelos membros finais: vegetação, solo e sombra, o cálculo da mistura será realizado com base nos três elementos, mesmo que não haja um dos componentes para o pixel (CARVALHO JUNIOR et al, 2003).…”

“…O MESMA difere do SMA por permitir que o número e o tipo de membros finais, tanto quanto sua abundância, variem de pixel para pixel (CARVALHO JUNIOR et al, 2003). Esta técnica tem sido utilizada no mapeamento de vegetação (OKIN et al, 2001), depósitos minerais (CARVALHO JUNIOR et al, 2003) e queimada (ROBERTS et al, 2003), porém pouco se sabe da relação com solos..…”