Pedological mapping through integration of digital terrain models spectral sensing and photopedology
ABSTRACTNew tools for soil mapping are needed to increase speed and accuracy of pedological mapping processes. This study integrated various technologies to map soils of the Piracicaba region in São Paulo State, Brazil. Each technology was expected to provide different information to design a detail...
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Universidade Federal do Ceará
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doaj-c76ffc781cba47d5a872306d7d687a3a2020-11-24T20:58:35ZengUniversidade Federal do CearáRevista Ciência Agronômica 1806-669046466967810.5935/1806-6690.20150053S1806-66902015000400669Pedological mapping through integration of digital terrain models spectral sensing and photopedologyJosé A. M. DemattêRodnei RizzoVictor Wilson BotteonABSTRACTNew tools for soil mapping are needed to increase speed and accuracy of pedological mapping processes. This study integrated various technologies to map soils of the Piracicaba region in São Paulo State, Brazil. Each technology was expected to provide different information to design a detailed map. We carried out field survey and soil sampling for laboratory analysis. Initially, we conducted field visits to obtain soil patterns of a reference site. We applied the acquired patterns to an validation site, based solely on information obtained from remote sensing and cartographic databases, namely LANDSAT 7/ETM, digital elevation models (DEM) and aerial photographs. We integrated the information from each product to generate the map of the validation site, which was validated by field inspection. Textural classification using satellite imaging ranged from 21-51% of accuracy. Band 5 in the sensor showed the best performance to discriminate between clayey and sandy soils. Aerial photographs provided the best information because, besides their own inherent characteristics, they operate on a larger scale and result in a map with up to 50 polygons, while DEM reached a maximum of 30 polygons. The digital mapping technology generated 45 mapping units. Finally, the mapping efficiently separated the Latosols from the other classes; however, in some cases there was confusion in the identification of Cambisols and litholic Neosols.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000400669&lng=en&tlng=enAerial photographsDigital terrain modelsSatellite imagesDigital soil mapping |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
José A. M. Demattê Rodnei Rizzo Victor Wilson Botteon |
spellingShingle |
José A. M. Demattê Rodnei Rizzo Victor Wilson Botteon Pedological mapping through integration of digital terrain models spectral sensing and photopedology Revista Ciência Agronômica Aerial photographs Digital terrain models Satellite images Digital soil mapping |
author_facet |
José A. M. Demattê Rodnei Rizzo Victor Wilson Botteon |
author_sort |
José A. M. Demattê |
title |
Pedological mapping through integration of digital terrain models spectral sensing and photopedology |
title_short |
Pedological mapping through integration of digital terrain models spectral sensing and photopedology |
title_full |
Pedological mapping through integration of digital terrain models spectral sensing and photopedology |
title_fullStr |
Pedological mapping through integration of digital terrain models spectral sensing and photopedology |
title_full_unstemmed |
Pedological mapping through integration of digital terrain models spectral sensing and photopedology |
title_sort |
pedological mapping through integration of digital terrain models spectral sensing and photopedology |
publisher |
Universidade Federal do Ceará |
series |
Revista Ciência Agronômica |
issn |
1806-6690 |
description |
ABSTRACTNew tools for soil mapping are needed to increase speed and accuracy of pedological mapping processes. This study integrated various technologies to map soils of the Piracicaba region in São Paulo State, Brazil. Each technology was expected to provide different information to design a detailed map. We carried out field survey and soil sampling for laboratory analysis. Initially, we conducted field visits to obtain soil patterns of a reference site. We applied the acquired patterns to an validation site, based solely on information obtained from remote sensing and cartographic databases, namely LANDSAT 7/ETM, digital elevation models (DEM) and aerial photographs. We integrated the information from each product to generate the map of the validation site, which was validated by field inspection. Textural classification using satellite imaging ranged from 21-51% of accuracy. Band 5 in the sensor showed the best performance to discriminate between clayey and sandy soils. Aerial photographs provided the best information because, besides their own inherent characteristics, they operate on a larger scale and result in a map with up to 50 polygons, while DEM reached a maximum of 30 polygons. The digital mapping technology generated 45 mapping units. Finally, the mapping efficiently separated the Latosols from the other classes; however, in some cases there was confusion in the identification of Cambisols and litholic Neosols. |
topic |
Aerial photographs Digital terrain models Satellite images Digital soil mapping |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000400669&lng=en&tlng=en |
work_keys_str_mv |
AT joseamdematte pedologicalmappingthroughintegrationofdigitalterrainmodelsspectralsensingandphotopedology AT rodneirizzo pedologicalmappingthroughintegrationofdigitalterrainmodelsspectralsensingandphotopedology AT victorwilsonbotteon pedologicalmappingthroughintegrationofdigitalterrainmodelsspectralsensingandphotopedology |
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1716785413568331776 |