Soil surface spectral data from Landsat imagery for soil class discrimination
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| Format: | Artículo científico |
| Language: | en |
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Universidade Estadual de Maringá
2012
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| _version_ | 1876486155933843456 |
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| author | Marcos Rafael Nanni |
| author_facet | Marcos Rafael Nanni |
| contents | Soil surface spectral data from Landsat imagery for soil class discrimination Marcos Rafael Nanni José Alexandre Melo Demattê Marcelo Luiz Chicati Peterson Ricardo Fiorio Everson Cézar Roney Berti de Oliveira Agrociencias TM Landsat spectral response discriminant analysis Brazilian soil classes The aim of this study was to develop and test a method to determine and discriminate soil classes in the state of São Paulo, Brazil, based on spectral data obtained via Landsat satellite imagery. Satellite reflectance images were extracted from 185 spectral reading points, and discriminant equations were obtained to establish each soil class within the studied area. Sixteen soil classes were analyzed, and discriminant equations that comprised TM5/Landsat sensor bands 1, 2, 3, 4, 5, and 7 were established. The results showed that this methodology could effectively identify individual soil classes using discriminant analyses of the spectral data obtained from the surface. Success rates of > 40% were achieved for 14 of the 16 evaluated soil classes when applying the satellite image data. When the 10 soil classes containing the largest number of minimum cartographic areas were used, the hit rate increased to > 50%, for seven soil classes with a global hit rate of 52%. When the soil classes were grouped based on their parent materials, the hit rate increased to 70%. Thus, we concluded that the spectral method for soil classification was efficient. 2012 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303026475014 10.4025/actasciagron.v34i1.12204 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Num.1 Vol.34 |
| format | Artículo científico |
| id | redalyc_303026475014 |
| institution | Redalyc |
| language | en |
| publishDate | 2012 |
| publisher | Universidade Estadual de Maringá |
| spellingShingle | Soil surface spectral data from Landsat imagery for soil class discrimination Marcos Rafael Nanni Agrociencias TM Landsat spectral response discriminant analysis Brazilian soil classes Soil surface spectral data from Landsat imagery for soil class discrimination Marcos Rafael Nanni José Alexandre Melo Demattê Marcelo Luiz Chicati Peterson Ricardo Fiorio Everson Cézar Roney Berti de Oliveira Agrociencias TM Landsat spectral response discriminant analysis Brazilian soil classes The aim of this study was to develop and test a method to determine and discriminate soil classes in the state of São Paulo, Brazil, based on spectral data obtained via Landsat satellite imagery. Satellite reflectance images were extracted from 185 spectral reading points, and discriminant equations were obtained to establish each soil class within the studied area. Sixteen soil classes were analyzed, and discriminant equations that comprised TM5/Landsat sensor bands 1, 2, 3, 4, 5, and 7 were established. The results showed that this methodology could effectively identify individual soil classes using discriminant analyses of the spectral data obtained from the surface. Success rates of > 40% were achieved for 14 of the 16 evaluated soil classes when applying the satellite image data. When the 10 soil classes containing the largest number of minimum cartographic areas were used, the hit rate increased to > 50%, for seven soil classes with a global hit rate of 52%. When the soil classes were grouped based on their parent materials, the hit rate increased to 70%. Thus, we concluded that the spectral method for soil classification was efficient. 2012 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303026475014 10.4025/actasciagron.v34i1.12204 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Num.1 Vol.34 |
| title | Soil surface spectral data from Landsat imagery for soil class discrimination |
| topic | Agrociencias TM Landsat spectral response discriminant analysis Brazilian soil classes |
| url | https://www.redalyc.org/articulo.oa?id=303026475014 |