Assessment of sugarcane harvesting residue effects on soil spectral behavior

Detalhes bibliográficos
Autor(a) principal: Dematte, Jose A. M.
Data de Publicação: 2016
Outros Autores: Terra, Fabricio da Silva, Otto, Rafael, Toma, Raul Shiso, Pereira, Luiz Henrique [UNESP], Nascimento, Alexandre Ferreira do, Melo Bortoletto, Marco Antonio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/0103-9016-2014-0370
http://hdl.handle.net/11449/161370
Resumo: 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 lineWhen 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.Univ Sao Paulo, ESALQ, Dept Soil Sci, CP 09, BR-13418260 Piracicaba, SP, BrazilFed Univ Jequitinhonha & Mucuri Valleys, ICA, Av Vereador Joao Narciso 1380, BR-38610000 Unai, MG, BrazilUniv Fed Ceara, CCA, Dept Soil Sci, Av Mister Hull 2977, BR-60356001 Fortaleza, Ceara, BrazilSao Paulo State Univ, IGCE, Dept Terr Planning & Geoproc, Av 24 A,1515, BR-13506900 Rio Claro, SP, BrazilBrazilian Agr Res Corp, Embrapa Agrosilvopastoral, Rodovia Pioneiros MT-222,Km 2-5, BR-78550970 Sinop, MT, BrazilClealco Grp SA, GIS Div, Rodovia SP 425,Km 01, BR-16250000 Clementina, SP, BrazilSao Paulo State Univ, IGCE, Dept Terr Planning & Geoproc, Av 24 A,1515, BR-13506900 Rio Claro, SP, BrazilUniv Sao PaoloUniversidade de São Paulo (USP)Universidade Federal de Viçosa (UFV)Univ Fed CearaUniversidade Estadual Paulista (Unesp)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Clealco Grp SADematte, Jose A. M.Terra, Fabricio da SilvaOtto, RafaelToma, Raul ShisoPereira, Luiz Henrique [UNESP]Nascimento, Alexandre Ferreira doMelo Bortoletto, Marco Antonio2018-11-26T16:32:28Z2018-11-26T16:32:28Z2016-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article159-168application/pdfhttp://dx.doi.org/10.1590/0103-9016-2014-0370Scientia Agricola. Cerquera Cesar: Univ Sao Paolo, v. 73, n. 2, p. 159-168, 2016.0103-9016http://hdl.handle.net/11449/16137010.1590/0103-9016-2014-0370S0103-90162016000200159WOS:000373496700009S0103-90162016000200159.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengScientia Agricola0,578info:eu-repo/semantics/openAccess2023-11-16T06:15:22Zoai:repositorio.unesp.br:11449/161370Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:53:11.698194Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)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
Dematte, Jose 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 Dematte, Jose A. M.
author_facet Dematte, Jose A. M.
Terra, Fabricio da Silva
Otto, Rafael
Toma, Raul Shiso
Pereira, Luiz Henrique [UNESP]
Nascimento, Alexandre Ferreira do
Melo Bortoletto, Marco Antonio
author_role author
author2 Terra, Fabricio da Silva
Otto, Rafael
Toma, Raul Shiso
Pereira, Luiz Henrique [UNESP]
Nascimento, Alexandre Ferreira do
Melo Bortoletto, Marco Antonio
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Federal de Viçosa (UFV)
Univ Fed Ceara
Universidade Estadual Paulista (Unesp)
Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
Clealco Grp SA
dc.contributor.author.fl_str_mv Dematte, Jose A. M.
Terra, Fabricio da Silva
Otto, Rafael
Toma, Raul Shiso
Pereira, Luiz Henrique [UNESP]
Nascimento, Alexandre Ferreira do
Melo Bortoletto, Marco Antonio
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 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 2016-03-01
2018-11-26T16:32:28Z
2018-11-26T16:32:28Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1590/0103-9016-2014-0370
Scientia Agricola. Cerquera Cesar: Univ Sao Paolo, v. 73, n. 2, p. 159-168, 2016.
0103-9016
http://hdl.handle.net/11449/161370
10.1590/0103-9016-2014-0370
S0103-90162016000200159
WOS:000373496700009
S0103-90162016000200159.pdf
url http://dx.doi.org/10.1590/0103-9016-2014-0370
http://hdl.handle.net/11449/161370
identifier_str_mv Scientia Agricola. Cerquera Cesar: Univ Sao Paolo, v. 73, n. 2, p. 159-168, 2016.
0103-9016
10.1590/0103-9016-2014-0370
S0103-90162016000200159
WOS:000373496700009
S0103-90162016000200159.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Scientia Agricola
0,578
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 159-168
application/pdf
dc.publisher.none.fl_str_mv Univ Sao Paolo
publisher.none.fl_str_mv Univ Sao Paolo
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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