Assessment of sugarcane harvesting residue effects on soil spectral behavior
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , |
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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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 |
|
_version_ |
1808128871324712960 |