Assessment of sugarcane harvesting residue effects on soil spectral behavior

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dc.contributor.authorDematte, Jose A. M.
dc.contributor.authorTerra, Fabricio da Silva
dc.contributor.authorOtto, Rafael
dc.contributor.authorToma, Raul Shiso
dc.contributor.authorPereira, Luiz Henrique [UNESP]
dc.contributor.authorNascimento, Alexandre Ferreira do
dc.contributor.authorMelo Bortoletto, Marco Antonio
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Federal de Viçosa (UFV)
dc.contributor.institutionUniv Fed Ceara
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.institutionClealco Grp SA
dc.date.accessioned2018-11-26T16:32:28Z
dc.date.available2018-11-26T16:32:28Z
dc.date.issued2016-03-01
dc.description.abstractWhen 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.en
dc.description.affiliationUniv Sao Paulo, ESALQ, Dept Soil Sci, CP 09, BR-13418260 Piracicaba, SP, Brazil
dc.description.affiliationFed Univ Jequitinhonha & Mucuri Valleys, ICA, Av Vereador Joao Narciso 1380, BR-38610000 Unai, MG, Brazil
dc.description.affiliationUniv Fed Ceara, CCA, Dept Soil Sci, Av Mister Hull 2977, BR-60356001 Fortaleza, Ceara, Brazil
dc.description.affiliationSao Paulo State Univ, IGCE, Dept Terr Planning & Geoproc, Av 24 A,1515, BR-13506900 Rio Claro, SP, Brazil
dc.description.affiliationBrazilian Agr Res Corp, Embrapa Agrosilvopastoral, Rodovia Pioneiros MT-222,Km 2-5, BR-78550970 Sinop, MT, Brazil
dc.description.affiliationClealco Grp SA, GIS Div, Rodovia SP 425,Km 01, BR-16250000 Clementina, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ, IGCE, Dept Terr Planning & Geoproc, Av 24 A,1515, BR-13506900 Rio Claro, SP, Brazil
dc.format.extent159-168
dc.identifierhttp://dx.doi.org/10.1590/0103-9016-2014-0370
dc.identifier.citationScientia Agricola. Cerquera Cesar: Univ Sao Paolo, v. 73, n. 2, p. 159-168, 2016.
dc.identifier.doi10.1590/0103-9016-2014-0370
dc.identifier.fileS0103-90162016000200159.pdf
dc.identifier.issn0103-9016
dc.identifier.scieloS0103-90162016000200159
dc.identifier.urihttp://hdl.handle.net/11449/161370
dc.identifier.wosWOS:000373496700009
dc.language.isoeng
dc.publisherUniv Sao Paolo
dc.relation.ispartofScientia Agricola
dc.relation.ispartofsjr0,578
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectTM-Landsat
dc.subjectNDVI
dc.subjectsoil remote sensing
dc.subjectsoil proximal sensing
dc.subjectsoil line
dc.titleAssessment of sugarcane harvesting residue effects on soil spectral behavioren
dc.typeArtigo
dcterms.rightsHolderUniv Sao Paolo
unesp.author.orcid0000-0003-1472-298X[3]
unesp.author.orcid0000-0001-5585-6832[4]

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