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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Main Authors: José A. M. Demattê, Rodnei Rizzo, Victor Wilson Botteon
Format: Article
Language:English
Published: Universidade Federal do Ceará
Series:Revista Ciência Agronômica
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000400669&lng=en&tlng=en
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spelling 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
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AT rodneirizzo pedologicalmappingthroughintegrationofdigitalterrainmodelsspectralsensingandphotopedology
AT victorwilsonbotteon pedologicalmappingthroughintegrationofdigitalterrainmodelsspectralsensingandphotopedology
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