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

Gespeichert in:

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]

Format:	E-Artikel
Sprache:	Englisch ; Spanisch ; Portugiesisch

Erschienen:	2017

Schlagwörter:	landscape stratification pedometrics predictive soil mapping reference area terrain attributes.

Übergeordnetes Werk:	In: Pesquisa Agropecuária Brasileira - Embrapa Informação Tecnológica, 2004, 52(2017), 8, Seite 633-642
Übergeordnetes Werk:	volume:52 ; year:2017 ; number:8 ; pages:633-642

Links:	Link aufrufen Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1590/s0100-204x2017000800009

Katalog-ID:	DOAJ073428353

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language	English Spanish Portuguese
source	In Pesquisa Agropecuária Brasileira 52(2017), 8, Seite 633-642 volume:52 year:2017 number:8 pages:633-642
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authorswithroles_txt_mv	Mario Sergio Wolski @@aut@@ Ricardo Simão Diniz Dalmolin @@aut@@ Carlos Alberto Flores @@aut@@ Jean Michel Moura-Bueno @@aut@@ Alexandre ten Caten @@aut@@ Douglas Rodrigo Kaiser @@aut@@
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callnumber-first	S - Agriculture
author	Mario Sergio Wolski
spellingShingle	Mario Sergio Wolski misc S1-972 misc landscape stratification misc pedometrics misc predictive soil mapping misc reference area misc terrain attributes. misc Agriculture (General) Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale
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topic_title	S1-972 Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale landscape stratification pedometrics predictive soil mapping reference area terrain attributes
topic	misc S1-972 misc landscape stratification misc pedometrics misc predictive soil mapping misc reference area misc terrain attributes. misc Agriculture (General)
topic_unstemmed	misc S1-972 misc landscape stratification misc pedometrics misc predictive soil mapping misc reference area misc terrain attributes. misc Agriculture (General)
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title	Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale
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title_full	Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale
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author_browse	Mario Sergio Wolski Ricardo Simão Diniz Dalmolin Carlos Alberto Flores Jean Michel Moura-Bueno Alexandre ten Caten Douglas Rodrigo Kaiser
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title_sort	digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale
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title_auth	Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale
abstract	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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title_short	Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale
url	https://doi.org/10.1590/s0100-204x2017000800009 https://doaj.org/article/a0c1e661fff04a9e94e65889b1c15505 http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000800633&tlng=en http://www.scielo.br/pdf/pab/v52n8/1678-3921-pab-52-08-00633.pdf https://doaj.org/toc/1678-3921
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author2	Ricardo Simão Diniz Dalmolin Carlos Alberto Flores Jean Michel Moura-Bueno Alexandre ten Caten Douglas Rodrigo Kaiser
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up_date	2024-07-03T17:37:57.728Z
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Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale

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