Spectral-Temporal Analysis by Response Surface applied to detect deforestation in the Brazilian Amazon
Spectral-Temporal Analysis by Response Surface (STARS), which exploits both multispectral and multitemporal information using fitted response surfaces, was used to describe deforestation patterns in the Brazilian Amazon. The STARS was conducted upon a MODIS dataset formed by 21 selected cloud free i...
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| creator | Mello, M. P. Martins, F. S. R. V. Sato, L. Y. Cantinho, R. Z. Aguiar, D. A. Rudorff, B. F. T. Santos, R. D. C. |
| description | Spectral-Temporal Analysis by Response Surface (STARS), which exploits both multispectral and multitemporal information using fitted response surfaces, was used to describe deforestation patterns in the Brazilian Amazon. The STARS was conducted upon a MODIS dataset formed by 21 selected cloud free images (eight days composition) acquired from August 2003 to August 2004. The Multi-Coefficient Image (MCI) resulted from the STARS was used as input attributes for the three tested classifiers: Instance Based K-nearest neighbor (IBK), Decision Tree (DT) and Neural Network (NN). The IBK classifier presented the highest accuracy (K=0.93) in detecting deforestation also indicating the deforestation period (early or late in the year). The results showed that the STARS is promising to describe spectral change patterns over time, allowing detection of the deforestation process which occurs in the Brazilian Amazon. |
| doi_str_mv | 10.1109/Multi-Temp.2011.6005055 |
| format | Conference Proceeding |
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The IBK classifier presented the highest accuracy (K=0.93) in detecting deforestation also indicating the deforestation period (early or late in the year). 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The Multi-Coefficient Image (MCI) resulted from the STARS was used as input attributes for the three tested classifiers: Instance Based K-nearest neighbor (IBK), Decision Tree (DT) and Neural Network (NN). The IBK classifier presented the highest accuracy (K=0.93) in detecting deforestation also indicating the deforestation period (early or late in the year). The results showed that the STARS is promising to describe spectral change patterns over time, allowing detection of the deforestation process which occurs in the Brazilian Amazon.</description><subject>Accuracy</subject><subject>classification</subject><subject>MODIS</subject><subject>multispectral</subject><subject>multitemporal</subject><subject>Remote sensing</subject><subject>Response surface methodology</subject><subject>Spatial resolution</subject><subject>STARS</subject><subject>Surface treatment</subject><subject>USA Councils</subject><isbn>1457712024</isbn><isbn>9781457712029</isbn><isbn>1457712032</isbn><isbn>9781457712012</isbn><isbn>1457712016</isbn><isbn>9781457712036</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkMtOwzAURI0QElD6BSzwD6T4ETv2MlRQkIqQaPbVbXItjPKS7S7SryeCSszmzCxmFkPIA2crzpl9fD-2yWcVduNKMM5XmjHFlLogtzxXRcEFk-LyP4j8mixj_GaztCgMNzfE7UasU4D2d2aYDS17aKfoIz1M9BPjOPQR6e4YHNRIYRxbjw1NA20wzdUZbggYEyQ_9NT3NH0hfQpw8q2HnpYdnIb-jlw5aCMuz1yQ6uW5Wr9m24_N27rcZt6ylB04K7QSsmACJKLjDpjTVggldW5zqYU20tW54hIsaKOVco1FaWqrCzRGLsj936xHxP0YfAdh2p9vkT-jt1ka</recordid><startdate>201107</startdate><enddate>201107</enddate><creator>Mello, M. P.</creator><creator>Martins, F. S. R. V.</creator><creator>Sato, L. Y.</creator><creator>Cantinho, R. Z.</creator><creator>Aguiar, D. A.</creator><creator>Rudorff, B. F. T.</creator><creator>Santos, R. D. C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201107</creationdate><title>Spectral-Temporal Analysis by Response Surface applied to detect deforestation in the Brazilian Amazon</title><author>Mello, M. P. ; Martins, F. S. R. V. ; Sato, L. Y. ; Cantinho, R. Z. ; Aguiar, D. A. ; Rudorff, B. F. T. ; Santos, R. D. 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C.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mello, M. P.</au><au>Martins, F. S. R. V.</au><au>Sato, L. Y.</au><au>Cantinho, R. Z.</au><au>Aguiar, D. A.</au><au>Rudorff, B. F. T.</au><au>Santos, R. D. C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Spectral-Temporal Analysis by Response Surface applied to detect deforestation in the Brazilian Amazon</atitle><btitle>2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp)</btitle><stitle>Multi-Temp</stitle><date>2011-07</date><risdate>2011</risdate><spage>89</spage><epage>92</epage><pages>89-92</pages><isbn>1457712024</isbn><isbn>9781457712029</isbn><eisbn>1457712032</eisbn><eisbn>9781457712012</eisbn><eisbn>1457712016</eisbn><eisbn>9781457712036</eisbn><abstract>Spectral-Temporal Analysis by Response Surface (STARS), which exploits both multispectral and multitemporal information using fitted response surfaces, was used to describe deforestation patterns in the Brazilian Amazon. The STARS was conducted upon a MODIS dataset formed by 21 selected cloud free images (eight days composition) acquired from August 2003 to August 2004. The Multi-Coefficient Image (MCI) resulted from the STARS was used as input attributes for the three tested classifiers: Instance Based K-nearest neighbor (IBK), Decision Tree (DT) and Neural Network (NN). The IBK classifier presented the highest accuracy (K=0.93) in detecting deforestation also indicating the deforestation period (early or late in the year). The results showed that the STARS is promising to describe spectral change patterns over time, allowing detection of the deforestation process which occurs in the Brazilian Amazon.</abstract><pub>IEEE</pub><doi>10.1109/Multi-Temp.2011.6005055</doi><tpages>4</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Accuracy classification MODIS multispectral multitemporal Remote sensing Response surface methodology Spatial resolution STARS Surface treatment USA Councils |
| title | Spectral-Temporal Analysis by Response Surface applied to detect deforestation in the Brazilian Amazon |
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