Zobrazeno 1 - 10
of 88
pro vyhledávání: '"soil-landscape relationships"'
Publikováno v:
Scientia Agricola, Vol 76, Iss 5, Pp 439-447 (2019)
ABSTRACT: Data Mining techniques play an important role in the prediction of soil spatial distribution in systematic soil surveying, though existing methodologies still lack standardization and a full understanding of their capabilities. The aim of t
Externí odkaz:
https://doaj.org/article/11837a1c71404bc1b85874e6a853cf69
Publikováno v:
Desert, Vol 22, Iss 2, Pp 239-247 (2017)
The paper reviews a set of soil surveys carried out in Iran using a geopedologic approach for different surveying aims in different scales. Most of these studies have implemented a similar survey method including the following steps: delineation of l
Externí odkaz:
https://doaj.org/article/a9fd8947c07a45bfa153fc34923c4bd9
Publikováno v:
Boletín Geográfico, Vol 38, Pp 29-48 (2016)
Geopedology at a semi-detailed scale (1:50.000) was carried out in Buta Mallín catchment which includes an area of 21.065ha, in the northwest of Neuquén province, Argentine Patagonia. Geopedology provides a spatial dimension of soil-landscape relat
Externí odkaz:
https://doaj.org/article/f496647cff1247519d38a5d4c1b4b72b
Autor:
Sérgio Henrique Godinho Silva, Michele Duarte de Menezes, Carlos Rogério de Mello, Helen Thaís Pereira de Góes, Phillip Ray Owens, Nilton Curi
Publikováno v:
Scientia Agricola, Vol 73, Iss 4, Pp 363-370 (2016)
ABSTRACT The application of quantitative methods to digital soil and geomorphological mapping is becoming an increasing trend. One of these methods, Geomorphons, was developed to identify the ten most common landforms based on digital elevation model
Externí odkaz:
https://doaj.org/article/3981db68704e4f16a46dec571d41de67
Autor:
Israel Rosa Machado, Elvio Giasson, Alcinei Ribeiro Campos, José Janderson Ferreira Costa, Elisângela Benedet da Silva, Benito Roberto Bonfatti
Publikováno v:
Revista Brasileira de Ciência do Solo, Vol 42, Iss 0 (2018)
ABSTRACT Soil surveys often contain multi-component map units comprising two or more soil classes, whose spatial distribution within the map unit is not represented. Digital Soil Mapping tools supported by information from soil surveys make it possib
Externí odkaz:
https://doaj.org/article/a931ba57531440588bd6b4056c37cf16
Autor:
Raúl Roberto Poppiel, Marilusa Pinto Coelho Lacerda, Manuel Pereira de Oliveira Junior, José Alexandre Melo Demattê, Danilo Jefferson Romero, Marcus Vinicius Sato, Leonardo Rafael de Almeida Júnior, Luiz Felipe Moreira Cassol
Publikováno v:
Revista Brasileira de Ciência do Solo, Vol 42, Iss 0 (2018)
ABSTRACT: Traditional method of soil survey is expensive, slow, and must be carried out by experienced researchers. Thus, advances in soil observation technologies and the need to obtain information quickly by modern techniques have intensified the u
Externí odkaz:
https://doaj.org/article/e8b3fef0f100435a882eea73b7f228d0
Autor:
Diogo Mazza Barbieri, José Marques Júnior, Luis Reynaldo Ferracciú Alleoni, Fernando José Garbuio, Livia Arantes Camargo
Publikováno v:
Scientia Agricola, Vol 66, Iss 6, Pp 819-826 (2009)
Hillslope curvatures are associated with specific environments that correlate to chemical and mineralogical attributes of soil, so determining specific management zones. Phosphorus is one of the main limiting factors to the development and longevity
Externí odkaz:
https://doaj.org/article/5cabf7e5ea2f4495a0b747980b8a7550
Publikováno v:
Revista Brasileira de Ciência do Solo, Vol 33, Iss 5, Pp 1373-1383 (2009)
A caracterização pedológica e o entendimento das relações entre pedologia, geologia e geomorfologia são importantes para a compreensão da distribuição dos solos numa paisagem. O objetivo deste estudo foi avaliar as relações pedomorfogeoló
Externí odkaz:
https://doaj.org/article/16f9f52baff3478eac60c90072bebd7b
Publikováno v:
Revista Brasileira de Ciência do Solo, Vol 29, Iss 1, Pp 81-90 (2005)
Em um segmento de vertente com substrato de arenito em contato com basalto, regionalmente muito freqüente, pretendeu-se não só relacionar as superfícies geomórficas com os atributos físicos, químicos e mineralógicos dos Latossolos nelas encon
Externí odkaz:
https://doaj.org/article/2119edceca724a7d96ff16c758bac656
Publikováno v:
Scientia Agricola v.76 n.5 2019
Scientia Agrícola
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Scientia Agricola, Vol 76, Iss 5, Pp 439-447 (2019)
Scientia Agricola, Volume: 76, Issue: 5, Pages: 439-447, Published: 20 MAY 2019
Scientia Agrícola
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Scientia Agricola, Vol 76, Iss 5, Pp 439-447 (2019)
Scientia Agricola, Volume: 76, Issue: 5, Pages: 439-447, Published: 20 MAY 2019
Data Mining techniques play an important role in the prediction of soil spatial distribution in systematic soil surveying, though existing methodologies still lack standardization and a full understanding of their capabilities. The aim of this work w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2def1eb8d5f8d3aa622d5c7a988ef5a7
https://doi.org/10.1590/1678-992x-2017-0171
https://doi.org/10.1590/1678-992x-2017-0171