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Spectroradiometric discrimination of laterites with principal components analysis and additive modeling
Bidirectional reflectance factor determinations in the visible and near-infrared of mineralized laterite samples collected at the surface of the alkaline / ultramafic rocks-carbonatite complex of Maicuru, northern Brazil, were evaluated for iron, phosphate, and titanium content. Nineteen spectra wer...
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Published in: | Remote sensing of environment 1995-08, Vol.53 (2), p.70-75 |
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description | Bidirectional reflectance factor determinations in the visible and near-infrared of mineralized laterite samples collected at the surface of the alkaline / ultramafic rocks-carbonatite complex of Maicuru, northern Brazil, were evaluated for iron, phosphate, and titanium content. Nineteen spectra were subjected to principal components analysis in order to get a better insight into the factors affecting spectral discrimination. The spatial distribution in a PC1 vs. PC2 plot is related to the overall reflectance (albedo) along the PO axis and to the spectral inversion around 1100 nm along the PC2 axis. The latter can be characterized by any spectral ratio of reflectance values taken before and after the inversion wavelength. Two major groups were thus identified: titanium-rich (anatase, ilmenite) laterites and aluminum phosphate laterites. The former presented spectra with low to intermediate albedos and lower near-infrared / visible and very near-infrared reflectance ratio values. The phosphate-rich samples presented intermediate to high albedos and higher reflectance ratios. Titaniferous laterites have a greater content of opaques than the phosphates which are usually richer in iron oxides. The presence of titanium lowers the albedo whereas iron oxides absorb only in the visible and very near-infrared. Binary mixtures of Fe
20
3 and carbon provided spectral variations analogous to the ones observed in the titaniferous laterites. Such modeling helped in evaluating the effects of opaques. As a practical result, a band radiometer could conceivably identify the titanium mineralized areas in the field. |
doi_str_mv | 10.1016/0034-4257(95)00040-8 |
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20
3 and carbon provided spectral variations analogous to the ones observed in the titaniferous laterites. Such modeling helped in evaluating the effects of opaques. As a practical result, a band radiometer could conceivably identify the titanium mineralized areas in the field.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/0034-4257(95)00040-8</identifier><language>eng</language><publisher>Elsevier Inc</publisher><subject>ALUMINIO ; ALUMINIUM ; ANALISIS ESTADISTICO ; ANALYSE STATISTIQUE ; ANALYTICAL METHODS ; CARACT MORFOLOGICAS DEL SUELO ; DURICRUSTS ; FER ; FERRALSOL ; FERRALSOLES ; FERRALSOLS ; FOSFATOS ; FOSFORO ; HIERRO ; IDENTIFICACION ; IDENTIFICATION ; INSTRUMENT METEOROLOGIQUE ; INSTRUMENTOS METEOROLOGICOS ; IRON ; LATERITIC SOILS ; METEOROLOGICAL INSTRUMENTS ; OXIDES ; OXIDOS ; OXYDE ; PARA ; PHOSPHATE ; PHOSPHATES ; PHOSPHORE ; PHOSPHORUS ; PRINCIPAL COMPONENT ANALYSIS ; RADIOMETERS ; RADIOMETRY ; REFLECTANCE ; REFLECTANCIA ; SOIL MORPHOLOGICAL FEATURES ; STATISTICAL ANALYSIS ; TECHNIQUE ANALYTIQUE ; TECNICAS ANALITICAS ; TITANE ; TITANIO ; TITANIUM ; TRAIT MORPHOLOGIQUE DU SOL</subject><ispartof>Remote sensing of environment, 1995-08, Vol.53 (2), p.70-75</ispartof><rights>1995</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c354t-68ed71e13dfccef9c42dc2059c945eeee3648cbd853ab2cda2ffad172eeb285c3</citedby><cites>FETCH-LOGICAL-c354t-68ed71e13dfccef9c42dc2059c945eeee3648cbd853ab2cda2ffad172eeb285c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Galvãdo, Lênio S.</creatorcontrib><creatorcontrib>Vitorello, Ícaro</creatorcontrib><creatorcontrib>Paradella, Waldir R.</creatorcontrib><title>Spectroradiometric discrimination of laterites with principal components analysis and additive modeling</title><title>Remote sensing of environment</title><description>Bidirectional reflectance factor determinations in the visible and near-infrared of mineralized laterite samples collected at the surface of the alkaline / ultramafic rocks-carbonatite complex of Maicuru, northern Brazil, were evaluated for iron, phosphate, and titanium content. Nineteen spectra were subjected to principal components analysis in order to get a better insight into the factors affecting spectral discrimination. The spatial distribution in a PC1 vs. PC2 plot is related to the overall reflectance (albedo) along the PO axis and to the spectral inversion around 1100 nm along the PC2 axis. The latter can be characterized by any spectral ratio of reflectance values taken before and after the inversion wavelength. Two major groups were thus identified: titanium-rich (anatase, ilmenite) laterites and aluminum phosphate laterites. The former presented spectra with low to intermediate albedos and lower near-infrared / visible and very near-infrared reflectance ratio values. The phosphate-rich samples presented intermediate to high albedos and higher reflectance ratios. Titaniferous laterites have a greater content of opaques than the phosphates which are usually richer in iron oxides. The presence of titanium lowers the albedo whereas iron oxides absorb only in the visible and very near-infrared. Binary mixtures of Fe
20
3 and carbon provided spectral variations analogous to the ones observed in the titaniferous laterites. Such modeling helped in evaluating the effects of opaques. As a practical result, a band radiometer could conceivably identify the titanium mineralized areas in the field.</description><subject>ALUMINIO</subject><subject>ALUMINIUM</subject><subject>ANALISIS ESTADISTICO</subject><subject>ANALYSE STATISTIQUE</subject><subject>ANALYTICAL METHODS</subject><subject>CARACT MORFOLOGICAS DEL SUELO</subject><subject>DURICRUSTS</subject><subject>FER</subject><subject>FERRALSOL</subject><subject>FERRALSOLES</subject><subject>FERRALSOLS</subject><subject>FOSFATOS</subject><subject>FOSFORO</subject><subject>HIERRO</subject><subject>IDENTIFICACION</subject><subject>IDENTIFICATION</subject><subject>INSTRUMENT METEOROLOGIQUE</subject><subject>INSTRUMENTOS METEOROLOGICOS</subject><subject>IRON</subject><subject>LATERITIC SOILS</subject><subject>METEOROLOGICAL INSTRUMENTS</subject><subject>OXIDES</subject><subject>OXIDOS</subject><subject>OXYDE</subject><subject>PARA</subject><subject>PHOSPHATE</subject><subject>PHOSPHATES</subject><subject>PHOSPHORE</subject><subject>PHOSPHORUS</subject><subject>PRINCIPAL COMPONENT ANALYSIS</subject><subject>RADIOMETERS</subject><subject>RADIOMETRY</subject><subject>REFLECTANCE</subject><subject>REFLECTANCIA</subject><subject>SOIL MORPHOLOGICAL FEATURES</subject><subject>STATISTICAL ANALYSIS</subject><subject>TECHNIQUE ANALYTIQUE</subject><subject>TECNICAS ANALITICAS</subject><subject>TITANE</subject><subject>TITANIO</subject><subject>TITANIUM</subject><subject>TRAIT MORPHOLOGIQUE DU SOL</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1995</creationdate><recordtype>article</recordtype><recordid>eNp9kEFr3DAQhUVJoZtt_0DJQaeSHtxKtrSWL4EQ0iQQ6CHNWWhH4-0EW3Il7Yb99_VmQ46Zywy89wbex9iZFD-kkKufQjSqUrVuzzv9XQihRGU-sIU0bVeJVqgTtnizfGKnOT8JIbVp5YJtHiaEkmJynuKIJRFwTxkSjRRcoRh47PngCiYqmPkzlb98ShSAJjdwiOMUA4aSuQtu2Gc6HJ4776nQDvkYPQ4UNp_Zx94NGb-87iV7_HX95-q2uv99c3d1eV9Bo1WpVgZ9K1E2vgfAvgNVe6iF7qBTGudpVsrA2hvduHUN3tV977xsa8R1bTQ0S_bt-HdK8d8Wc7Hj3AaHwQWM22xr3ZlGtu1sVEcjpJhzwt7OrUaX9lYKe6BqD8jsAZnttH2has0c-3qM9S5at0mU7eNDp1dSSz2LF0cR54Y7wmQzEAZAT2mmbH2k97__B48Rit0</recordid><startdate>19950801</startdate><enddate>19950801</enddate><creator>Galvãdo, Lênio S.</creator><creator>Vitorello, Ícaro</creator><creator>Paradella, Waldir R.</creator><general>Elsevier Inc</general><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>19950801</creationdate><title>Spectroradiometric discrimination of laterites with principal components analysis and additive modeling</title><author>Galvãdo, Lênio S. ; Vitorello, Ícaro ; Paradella, Waldir R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c354t-68ed71e13dfccef9c42dc2059c945eeee3648cbd853ab2cda2ffad172eeb285c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1995</creationdate><topic>ALUMINIO</topic><topic>ALUMINIUM</topic><topic>ANALISIS ESTADISTICO</topic><topic>ANALYSE STATISTIQUE</topic><topic>ANALYTICAL METHODS</topic><topic>CARACT MORFOLOGICAS DEL SUELO</topic><topic>DURICRUSTS</topic><topic>FER</topic><topic>FERRALSOL</topic><topic>FERRALSOLES</topic><topic>FERRALSOLS</topic><topic>FOSFATOS</topic><topic>FOSFORO</topic><topic>HIERRO</topic><topic>IDENTIFICACION</topic><topic>IDENTIFICATION</topic><topic>INSTRUMENT METEOROLOGIQUE</topic><topic>INSTRUMENTOS METEOROLOGICOS</topic><topic>IRON</topic><topic>LATERITIC SOILS</topic><topic>METEOROLOGICAL INSTRUMENTS</topic><topic>OXIDES</topic><topic>OXIDOS</topic><topic>OXYDE</topic><topic>PARA</topic><topic>PHOSPHATE</topic><topic>PHOSPHATES</topic><topic>PHOSPHORE</topic><topic>PHOSPHORUS</topic><topic>PRINCIPAL COMPONENT ANALYSIS</topic><topic>RADIOMETERS</topic><topic>RADIOMETRY</topic><topic>REFLECTANCE</topic><topic>REFLECTANCIA</topic><topic>SOIL MORPHOLOGICAL FEATURES</topic><topic>STATISTICAL ANALYSIS</topic><topic>TECHNIQUE ANALYTIQUE</topic><topic>TECNICAS ANALITICAS</topic><topic>TITANE</topic><topic>TITANIO</topic><topic>TITANIUM</topic><topic>TRAIT MORPHOLOGIQUE DU SOL</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Galvãdo, Lênio S.</creatorcontrib><creatorcontrib>Vitorello, Ícaro</creatorcontrib><creatorcontrib>Paradella, Waldir R.</creatorcontrib><collection>AGRIS</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Galvãdo, Lênio S.</au><au>Vitorello, Ícaro</au><au>Paradella, Waldir R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spectroradiometric discrimination of laterites with principal components analysis and additive modeling</atitle><jtitle>Remote sensing of environment</jtitle><date>1995-08-01</date><risdate>1995</risdate><volume>53</volume><issue>2</issue><spage>70</spage><epage>75</epage><pages>70-75</pages><issn>0034-4257</issn><eissn>1879-0704</eissn><abstract>Bidirectional reflectance factor determinations in the visible and near-infrared of mineralized laterite samples collected at the surface of the alkaline / ultramafic rocks-carbonatite complex of Maicuru, northern Brazil, were evaluated for iron, phosphate, and titanium content. Nineteen spectra were subjected to principal components analysis in order to get a better insight into the factors affecting spectral discrimination. The spatial distribution in a PC1 vs. PC2 plot is related to the overall reflectance (albedo) along the PO axis and to the spectral inversion around 1100 nm along the PC2 axis. The latter can be characterized by any spectral ratio of reflectance values taken before and after the inversion wavelength. Two major groups were thus identified: titanium-rich (anatase, ilmenite) laterites and aluminum phosphate laterites. The former presented spectra with low to intermediate albedos and lower near-infrared / visible and very near-infrared reflectance ratio values. The phosphate-rich samples presented intermediate to high albedos and higher reflectance ratios. Titaniferous laterites have a greater content of opaques than the phosphates which are usually richer in iron oxides. The presence of titanium lowers the albedo whereas iron oxides absorb only in the visible and very near-infrared. Binary mixtures of Fe
20
3 and carbon provided spectral variations analogous to the ones observed in the titaniferous laterites. Such modeling helped in evaluating the effects of opaques. As a practical result, a band radiometer could conceivably identify the titanium mineralized areas in the field.</abstract><pub>Elsevier Inc</pub><doi>10.1016/0034-4257(95)00040-8</doi><tpages>6</tpages></addata></record> |
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subjects | ALUMINIO ALUMINIUM ANALISIS ESTADISTICO ANALYSE STATISTIQUE ANALYTICAL METHODS CARACT MORFOLOGICAS DEL SUELO DURICRUSTS FER FERRALSOL FERRALSOLES FERRALSOLS FOSFATOS FOSFORO HIERRO IDENTIFICACION IDENTIFICATION INSTRUMENT METEOROLOGIQUE INSTRUMENTOS METEOROLOGICOS IRON LATERITIC SOILS METEOROLOGICAL INSTRUMENTS OXIDES OXIDOS OXYDE PARA PHOSPHATE PHOSPHATES PHOSPHORE PHOSPHORUS PRINCIPAL COMPONENT ANALYSIS RADIOMETERS RADIOMETRY REFLECTANCE REFLECTANCIA SOIL MORPHOLOGICAL FEATURES STATISTICAL ANALYSIS TECHNIQUE ANALYTIQUE TECNICAS ANALITICAS TITANE TITANIO TITANIUM TRAIT MORPHOLOGIQUE DU SOL |
title | Spectroradiometric discrimination of laterites with principal components analysis and additive modeling |
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