Assessment of sugarcane harvesting residue effects on soil spectral behavior

Detalhes bibliográficos
Autor(a) principal: DEMATTÊ, J. A. M.
Data de Publicação: 2016
Outros Autores: TERRA, F. da S., OTTO, R., TOMA, R. S., PEREIRA, L. H., NASCIMENTO, A. F. do, BORTOLETTO, M. A. M.
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1055007
http://dx.doi.org/10.1590/0103-9016-2014-0370
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.José A. M. Demattê, USP-ESALQ; Fabrício da Silva Terra, UFVJM; Rafael Otto, USP-ESALQ; Raul Shiso Toma, UFC; Luiz Henrique Pereira, UNESP-IGCE; ALEXANDRE FERREIRA DO NASCIMENTO, CPAMT; Marco Antonio Melo Bortoletto, GRUPO CLEALCO.DEMATTÊ, J. A. M.TERRA, F. da S.OTTO, R.TOMA, R. S.PEREIRA, L. H.NASCIMENTO, A. F. doBORTOLETTO, M. A. M.2016-10-19T11:11:11Z2016-10-19T11:11:11Z2016-10-1920162016-10-19T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleScientia Agricola, Piracicaba, v. 73, n. 2, p. 159-168, mar./abr., 20160103-9016http://www.alice.cnptia.embrapa.br/alice/handle/doc/1055007http://dx.doi.org/10.1590/0103-9016-2014-0370porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T02:36:35Zoai:www.alice.cnptia.embrapa.br:doc/1055007Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T02:36:35falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T02:36:35Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)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, J. 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, J. A. M.
author_facet DEMATTÊ, J. A. M.
TERRA, F. da S.
OTTO, R.
TOMA, R. S.
PEREIRA, L. H.
NASCIMENTO, A. F. do
BORTOLETTO, M. A. M.
author_role author
author2 TERRA, F. da S.
OTTO, R.
TOMA, R. S.
PEREIRA, L. H.
NASCIMENTO, A. F. do
BORTOLETTO, M. A. M.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv José A. M. Demattê, USP-ESALQ; Fabrício da Silva Terra, UFVJM; Rafael Otto, USP-ESALQ; Raul Shiso Toma, UFC; Luiz Henrique Pereira, UNESP-IGCE; ALEXANDRE FERREIRA DO NASCIMENTO, CPAMT; Marco Antonio Melo Bortoletto, GRUPO CLEALCO.
dc.contributor.author.fl_str_mv DEMATTÊ, J. A. M.
TERRA, F. da S.
OTTO, R.
TOMA, R. S.
PEREIRA, L. H.
NASCIMENTO, A. F. do
BORTOLETTO, M. A. M.
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 2016-10-19T11:11:11Z
2016-10-19T11:11:11Z
2016-10-19
2016
2016-10-19T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Scientia Agricola, Piracicaba, v. 73, n. 2, p. 159-168, mar./abr., 2016
0103-9016
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1055007
http://dx.doi.org/10.1590/0103-9016-2014-0370
identifier_str_mv Scientia Agricola, Piracicaba, v. 73, n. 2, p. 159-168, mar./abr., 2016
0103-9016
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1055007
http://dx.doi.org/10.1590/0103-9016-2014-0370
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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