Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale
Abstract: The objective of this work was to test the extrapolation of soil-landscape relationships in a reference area (RA) to a topographic map (scale 1:50,000), using digital soil mapping (DSM), and to compare these results to those obtained in similar studies previously conducted in Brazil. A soi...
Ausführliche Beschreibung
Autor*in: |
Mario Sergio Wolski [verfasserIn] Ricardo Simão Diniz Dalmolin [verfasserIn] Carlos Alberto Flores [verfasserIn] Jean Michel Moura-Bueno [verfasserIn] Alexandre ten Caten [verfasserIn] Douglas Rodrigo Kaiser [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch ; Spanisch ; Portugiesisch |
Erschienen: |
2017 |
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Schlagwörter: |
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Übergeordnetes Werk: |
In: Pesquisa Agropecuária Brasileira - Embrapa Informação Tecnológica, 2004, 52(2017), 8, Seite 633-642 |
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Übergeordnetes Werk: |
volume:52 ; year:2017 ; number:8 ; pages:633-642 |
Links: |
Link aufrufen |
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DOI / URN: |
10.1590/s0100-204x2017000800009 |
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Katalog-ID: |
DOAJ073428353 |
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10.1590/s0100-204x2017000800009 doi (DE-627)DOAJ073428353 (DE-599)DOAJa0c1e661fff04a9e94e65889b1c15505 DE-627 ger DE-627 rakwb eng spa por S1-972 Mario Sergio Wolski verfasserin aut Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract: The objective of this work was to test the extrapolation of soil-landscape relationships in a reference area (RA) to a topographic map (scale 1:50,000), using digital soil mapping (DSM), and to compare these results to those obtained in similar studies previously conducted in Brazil. A soil survey in a 10 km2 RA, using conventional mapping techniques (scale 1:10,000), was made in order to map a 678 km2 physiographically similar area (scale 1:50,000) using DSM. The decision tree technique was employed to build a predictive extrapolation model based on soil classes and eight terrain attributes in the RA. The validation of DSM by application of field observation points resulted in a 66.1% global accuracy and in 0.36 kappa index. The most representative soils in the area were correctly predicted, whereas the less representative and less frequent soils in the landscape (and consequently with reduced sampling) had their prediction compromised. The RA proportion, which equals 1.5% of the total area, is a limiting factor in the formulation of soil-landscape relationships to precisely represent the mapped area by DSM. landscape stratification pedometrics predictive soil mapping reference area terrain attributes. Agriculture (General) Ricardo Simão Diniz Dalmolin verfasserin aut Carlos Alberto Flores verfasserin aut Jean Michel Moura-Bueno verfasserin aut Alexandre ten Caten verfasserin aut Douglas Rodrigo Kaiser verfasserin aut In Pesquisa Agropecuária Brasileira Embrapa Informação Tecnológica, 2004 52(2017), 8, Seite 633-642 (DE-627)331758326 (DE-600)2053197-7 16783921 nnns volume:52 year:2017 number:8 pages:633-642 https://doi.org/10.1590/s0100-204x2017000800009 kostenfrei https://doaj.org/article/a0c1e661fff04a9e94e65889b1c15505 kostenfrei http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000800633&tlng=en kostenfrei http://www.scielo.br/pdf/pab/v52n8/1678-3921-pab-52-08-00633.pdf kostenfrei https://doaj.org/toc/1678-3921 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 52 2017 8 633-642 |
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10.1590/s0100-204x2017000800009 doi (DE-627)DOAJ073428353 (DE-599)DOAJa0c1e661fff04a9e94e65889b1c15505 DE-627 ger DE-627 rakwb eng spa por S1-972 Mario Sergio Wolski verfasserin aut Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract: The objective of this work was to test the extrapolation of soil-landscape relationships in a reference area (RA) to a topographic map (scale 1:50,000), using digital soil mapping (DSM), and to compare these results to those obtained in similar studies previously conducted in Brazil. A soil survey in a 10 km2 RA, using conventional mapping techniques (scale 1:10,000), was made in order to map a 678 km2 physiographically similar area (scale 1:50,000) using DSM. The decision tree technique was employed to build a predictive extrapolation model based on soil classes and eight terrain attributes in the RA. The validation of DSM by application of field observation points resulted in a 66.1% global accuracy and in 0.36 kappa index. The most representative soils in the area were correctly predicted, whereas the less representative and less frequent soils in the landscape (and consequently with reduced sampling) had their prediction compromised. The RA proportion, which equals 1.5% of the total area, is a limiting factor in the formulation of soil-landscape relationships to precisely represent the mapped area by DSM. landscape stratification pedometrics predictive soil mapping reference area terrain attributes. Agriculture (General) Ricardo Simão Diniz Dalmolin verfasserin aut Carlos Alberto Flores verfasserin aut Jean Michel Moura-Bueno verfasserin aut Alexandre ten Caten verfasserin aut Douglas Rodrigo Kaiser verfasserin aut In Pesquisa Agropecuária Brasileira Embrapa Informação Tecnológica, 2004 52(2017), 8, Seite 633-642 (DE-627)331758326 (DE-600)2053197-7 16783921 nnns volume:52 year:2017 number:8 pages:633-642 https://doi.org/10.1590/s0100-204x2017000800009 kostenfrei https://doaj.org/article/a0c1e661fff04a9e94e65889b1c15505 kostenfrei http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000800633&tlng=en kostenfrei http://www.scielo.br/pdf/pab/v52n8/1678-3921-pab-52-08-00633.pdf kostenfrei https://doaj.org/toc/1678-3921 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 52 2017 8 633-642 |
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10.1590/s0100-204x2017000800009 doi (DE-627)DOAJ073428353 (DE-599)DOAJa0c1e661fff04a9e94e65889b1c15505 DE-627 ger DE-627 rakwb eng spa por S1-972 Mario Sergio Wolski verfasserin aut Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract: The objective of this work was to test the extrapolation of soil-landscape relationships in a reference area (RA) to a topographic map (scale 1:50,000), using digital soil mapping (DSM), and to compare these results to those obtained in similar studies previously conducted in Brazil. A soil survey in a 10 km2 RA, using conventional mapping techniques (scale 1:10,000), was made in order to map a 678 km2 physiographically similar area (scale 1:50,000) using DSM. The decision tree technique was employed to build a predictive extrapolation model based on soil classes and eight terrain attributes in the RA. The validation of DSM by application of field observation points resulted in a 66.1% global accuracy and in 0.36 kappa index. The most representative soils in the area were correctly predicted, whereas the less representative and less frequent soils in the landscape (and consequently with reduced sampling) had their prediction compromised. The RA proportion, which equals 1.5% of the total area, is a limiting factor in the formulation of soil-landscape relationships to precisely represent the mapped area by DSM. landscape stratification pedometrics predictive soil mapping reference area terrain attributes. Agriculture (General) Ricardo Simão Diniz Dalmolin verfasserin aut Carlos Alberto Flores verfasserin aut Jean Michel Moura-Bueno verfasserin aut Alexandre ten Caten verfasserin aut Douglas Rodrigo Kaiser verfasserin aut In Pesquisa Agropecuária Brasileira Embrapa Informação Tecnológica, 2004 52(2017), 8, Seite 633-642 (DE-627)331758326 (DE-600)2053197-7 16783921 nnns volume:52 year:2017 number:8 pages:633-642 https://doi.org/10.1590/s0100-204x2017000800009 kostenfrei https://doaj.org/article/a0c1e661fff04a9e94e65889b1c15505 kostenfrei http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000800633&tlng=en kostenfrei http://www.scielo.br/pdf/pab/v52n8/1678-3921-pab-52-08-00633.pdf kostenfrei https://doaj.org/toc/1678-3921 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 52 2017 8 633-642 |
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10.1590/s0100-204x2017000800009 doi (DE-627)DOAJ073428353 (DE-599)DOAJa0c1e661fff04a9e94e65889b1c15505 DE-627 ger DE-627 rakwb eng spa por S1-972 Mario Sergio Wolski verfasserin aut Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract: The objective of this work was to test the extrapolation of soil-landscape relationships in a reference area (RA) to a topographic map (scale 1:50,000), using digital soil mapping (DSM), and to compare these results to those obtained in similar studies previously conducted in Brazil. A soil survey in a 10 km2 RA, using conventional mapping techniques (scale 1:10,000), was made in order to map a 678 km2 physiographically similar area (scale 1:50,000) using DSM. The decision tree technique was employed to build a predictive extrapolation model based on soil classes and eight terrain attributes in the RA. The validation of DSM by application of field observation points resulted in a 66.1% global accuracy and in 0.36 kappa index. The most representative soils in the area were correctly predicted, whereas the less representative and less frequent soils in the landscape (and consequently with reduced sampling) had their prediction compromised. The RA proportion, which equals 1.5% of the total area, is a limiting factor in the formulation of soil-landscape relationships to precisely represent the mapped area by DSM. landscape stratification pedometrics predictive soil mapping reference area terrain attributes. Agriculture (General) Ricardo Simão Diniz Dalmolin verfasserin aut Carlos Alberto Flores verfasserin aut Jean Michel Moura-Bueno verfasserin aut Alexandre ten Caten verfasserin aut Douglas Rodrigo Kaiser verfasserin aut In Pesquisa Agropecuária Brasileira Embrapa Informação Tecnológica, 2004 52(2017), 8, Seite 633-642 (DE-627)331758326 (DE-600)2053197-7 16783921 nnns volume:52 year:2017 number:8 pages:633-642 https://doi.org/10.1590/s0100-204x2017000800009 kostenfrei https://doaj.org/article/a0c1e661fff04a9e94e65889b1c15505 kostenfrei http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000800633&tlng=en kostenfrei http://www.scielo.br/pdf/pab/v52n8/1678-3921-pab-52-08-00633.pdf kostenfrei https://doaj.org/toc/1678-3921 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 52 2017 8 633-642 |
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Mario Sergio Wolski |
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Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale |
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Abstract: The objective of this work was to test the extrapolation of soil-landscape relationships in a reference area (RA) to a topographic map (scale 1:50,000), using digital soil mapping (DSM), and to compare these results to those obtained in similar studies previously conducted in Brazil. A soil survey in a 10 km2 RA, using conventional mapping techniques (scale 1:10,000), was made in order to map a 678 km2 physiographically similar area (scale 1:50,000) using DSM. The decision tree technique was employed to build a predictive extrapolation model based on soil classes and eight terrain attributes in the RA. The validation of DSM by application of field observation points resulted in a 66.1% global accuracy and in 0.36 kappa index. The most representative soils in the area were correctly predicted, whereas the less representative and less frequent soils in the landscape (and consequently with reduced sampling) had their prediction compromised. The RA proportion, which equals 1.5% of the total area, is a limiting factor in the formulation of soil-landscape relationships to precisely represent the mapped area by DSM. |
abstractGer |
Abstract: The objective of this work was to test the extrapolation of soil-landscape relationships in a reference area (RA) to a topographic map (scale 1:50,000), using digital soil mapping (DSM), and to compare these results to those obtained in similar studies previously conducted in Brazil. A soil survey in a 10 km2 RA, using conventional mapping techniques (scale 1:10,000), was made in order to map a 678 km2 physiographically similar area (scale 1:50,000) using DSM. The decision tree technique was employed to build a predictive extrapolation model based on soil classes and eight terrain attributes in the RA. The validation of DSM by application of field observation points resulted in a 66.1% global accuracy and in 0.36 kappa index. The most representative soils in the area were correctly predicted, whereas the less representative and less frequent soils in the landscape (and consequently with reduced sampling) had their prediction compromised. The RA proportion, which equals 1.5% of the total area, is a limiting factor in the formulation of soil-landscape relationships to precisely represent the mapped area by DSM. |
abstract_unstemmed |
Abstract: The objective of this work was to test the extrapolation of soil-landscape relationships in a reference area (RA) to a topographic map (scale 1:50,000), using digital soil mapping (DSM), and to compare these results to those obtained in similar studies previously conducted in Brazil. A soil survey in a 10 km2 RA, using conventional mapping techniques (scale 1:10,000), was made in order to map a 678 km2 physiographically similar area (scale 1:50,000) using DSM. The decision tree technique was employed to build a predictive extrapolation model based on soil classes and eight terrain attributes in the RA. The validation of DSM by application of field observation points resulted in a 66.1% global accuracy and in 0.36 kappa index. The most representative soils in the area were correctly predicted, whereas the less representative and less frequent soils in the landscape (and consequently with reduced sampling) had their prediction compromised. The RA proportion, which equals 1.5% of the total area, is a limiting factor in the formulation of soil-landscape relationships to precisely represent the mapped area by DSM. |
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Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale |
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