Assessment of sugarcane harvesting residue effects on soil spectral behavior

Detalhes bibliográficos
Autor(a) principal: Demattê,José A. M.
Data de Publicação: 2016
Outros Autores: Terra,Fabrício da Silva, Otto,Rafael, Toma,Raul Shiso, Pereira,Luiz Henrique, Nascimento,Alexandre Ferreira do, Bortoletto,Marco Antonio Melo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000200159
Resumo: ABSTRACT When the harvesting of sugarcane involves a mechanized process, plant residues remain on the soil surface, which makes proximal and remote sensing difficult to monitor. This study aimed to evaluate, under laboratory conditions, differences in the soil spectral behavior of surface layers Quartzipsamment and Hapludox soil classes due to increasing levels of sugarcane’s dry (DL) and green (GL) leaf cover on the soil. Soil cover was quantified by supervised classification of the digital images (photography) taken of the treatments. The spectral reflectance of the samples was obtained using the FieldSpec Pro (350 to 2500 nm). TM-Landsat bands were simulated and the Normalized Difference Vegetation Index (NDVI) and soil line were also determined. Soil cover ranged from 0 to 89 % for DL and 0 to 80 % for GL. Dry leaf covering affected the features of the following soil constituents: iron oxides (480, 530 and 900 nm) and kaolinite (2200 nm). Water absorption (1400 and 1900 nm) and chlorophyll (670 nm) were determinant in differentiating between bare soil and GL covering. Bands 3 and 4 and NDVI showed pronounced variations as regards differences in soil cover percentage for both DL and GL. The soil line allowed for discrimination of the bare soil from the covered soil (DL and GL). High resolution sensors from about 50 % of the DL or GL covering are expected to reveal differences in soil spectral behavior. Above this coverage percentage, soil assessment by remote sensing is impaired.
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spelling Assessment of sugarcane harvesting residue effects on soil spectral behaviorTM-LandsatNDVIsoil remote sensingsoil proximal sensingsoil lineABSTRACT When the harvesting of sugarcane involves a mechanized process, plant residues remain on the soil surface, which makes proximal and remote sensing difficult to monitor. This study aimed to evaluate, under laboratory conditions, differences in the soil spectral behavior of surface layers Quartzipsamment and Hapludox soil classes due to increasing levels of sugarcane’s dry (DL) and green (GL) leaf cover on the soil. Soil cover was quantified by supervised classification of the digital images (photography) taken of the treatments. The spectral reflectance of the samples was obtained using the FieldSpec Pro (350 to 2500 nm). TM-Landsat bands were simulated and the Normalized Difference Vegetation Index (NDVI) and soil line were also determined. Soil cover ranged from 0 to 89 % for DL and 0 to 80 % for GL. Dry leaf covering affected the features of the following soil constituents: iron oxides (480, 530 and 900 nm) and kaolinite (2200 nm). Water absorption (1400 and 1900 nm) and chlorophyll (670 nm) were determinant in differentiating between bare soil and GL covering. Bands 3 and 4 and NDVI showed pronounced variations as regards differences in soil cover percentage for both DL and GL. The soil line allowed for discrimination of the bare soil from the covered soil (DL and GL). High resolution sensors from about 50 % of the DL or GL covering are expected to reveal differences in soil spectral behavior. Above this coverage percentage, soil assessment by remote sensing is impaired.Escola Superior de Agricultura "Luiz de Queiroz"2016-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000200159Scientia Agricola v.73 n.2 2016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/0103-9016-2014-0370info:eu-repo/semantics/openAccessDemattê,José A. M.Terra,Fabrício da SilvaOtto,RafaelToma,Raul ShisoPereira,Luiz HenriqueNascimento,Alexandre Ferreira doBortoletto,Marco Antonio Meloeng2016-03-18T00:00:00Zoai:scielo:S0103-90162016000200159Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2016-03-18T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Assessment of sugarcane harvesting residue effects on soil spectral behavior
title Assessment of sugarcane harvesting residue effects on soil spectral behavior
spellingShingle Assessment of sugarcane harvesting residue effects on soil spectral behavior
Demattê,José A. M.
TM-Landsat
NDVI
soil remote sensing
soil proximal sensing
soil line
title_short Assessment of sugarcane harvesting residue effects on soil spectral behavior
title_full Assessment of sugarcane harvesting residue effects on soil spectral behavior
title_fullStr Assessment of sugarcane harvesting residue effects on soil spectral behavior
title_full_unstemmed Assessment of sugarcane harvesting residue effects on soil spectral behavior
title_sort Assessment of sugarcane harvesting residue effects on soil spectral behavior
author Demattê,José A. M.
author_facet Demattê,José A. M.
Terra,Fabrício da Silva
Otto,Rafael
Toma,Raul Shiso
Pereira,Luiz Henrique
Nascimento,Alexandre Ferreira do
Bortoletto,Marco Antonio Melo
author_role author
author2 Terra,Fabrício da Silva
Otto,Rafael
Toma,Raul Shiso
Pereira,Luiz Henrique
Nascimento,Alexandre Ferreira do
Bortoletto,Marco Antonio Melo
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Demattê,José A. M.
Terra,Fabrício da Silva
Otto,Rafael
Toma,Raul Shiso
Pereira,Luiz Henrique
Nascimento,Alexandre Ferreira do
Bortoletto,Marco Antonio Melo
dc.subject.por.fl_str_mv TM-Landsat
NDVI
soil remote sensing
soil proximal sensing
soil line
topic TM-Landsat
NDVI
soil remote sensing
soil proximal sensing
soil line
description ABSTRACT When the harvesting of sugarcane involves a mechanized process, plant residues remain on the soil surface, which makes proximal and remote sensing difficult to monitor. This study aimed to evaluate, under laboratory conditions, differences in the soil spectral behavior of surface layers Quartzipsamment and Hapludox soil classes due to increasing levels of sugarcane’s dry (DL) and green (GL) leaf cover on the soil. Soil cover was quantified by supervised classification of the digital images (photography) taken of the treatments. The spectral reflectance of the samples was obtained using the FieldSpec Pro (350 to 2500 nm). TM-Landsat bands were simulated and the Normalized Difference Vegetation Index (NDVI) and soil line were also determined. Soil cover ranged from 0 to 89 % for DL and 0 to 80 % for GL. Dry leaf covering affected the features of the following soil constituents: iron oxides (480, 530 and 900 nm) and kaolinite (2200 nm). Water absorption (1400 and 1900 nm) and chlorophyll (670 nm) were determinant in differentiating between bare soil and GL covering. Bands 3 and 4 and NDVI showed pronounced variations as regards differences in soil cover percentage for both DL and GL. The soil line allowed for discrimination of the bare soil from the covered soil (DL and GL). High resolution sensors from about 50 % of the DL or GL covering are expected to reveal differences in soil spectral behavior. Above this coverage percentage, soil assessment by remote sensing is impaired.
publishDate 2016
dc.date.none.fl_str_mv 2016-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000200159
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000200159
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-9016-2014-0370
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola v.73 n.2 2016
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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