Orbital Spectral Variables, Growth Analysis And Sugarcane Yield [variáveis Espectrais Orbitais, Indicadoras De Desenvolvimento E Produtividade Da Cana-de-açúcar]

dc.creatorSimoes M.S.
dc.creatorRocha J.V.
dc.creatorLamparelli R.A.C.
dc.date2009
dc.date2015-06-26T13:36:07Z
dc.date2015-11-26T15:35:51Z
dc.date2015-06-26T13:36:07Z
dc.date2015-11-26T15:35:51Z
dc.date.accessioned2018-03-28T22:44:23Z
dc.date.available2018-03-28T22:44:23Z
dc.identifier
dc.identifierScientia Agricola. , v. 66, n. 4, p. 451 - 461, 2009.
dc.identifier1039016
dc.identifier
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-69749117041&partnerID=40&md5=dfc7fed926b4da9c2682c4014a87bca6
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/92432
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/92432
dc.identifier2-s2.0-69749117041
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1263308
dc.descriptionTemporal analysis of crop development in commercial fields requires tools for large area monitoring, such as remote sensing. This paper describes the temporal evolution of sugar cane biophysical parameters such as total biomass (BMT), yield (TSS), leaf area index (LAI), and number of plants per linear meter (NPM) correlated to Landsat data. During the 2000 and 2001 cropping seasons, a commercial sugarcane field in Araras, São Paulo state, Brazil, planted with the SP80-1842 sugarcane variety in the 4th and 5th cuts, was monitored using nine Landsat images. Spectral data were correlated with agronomic data, obtained simultaneously to the imagery acquisition. Two methodologies were used to collect spectral data from the images: four pixels (2 × 2) window and average of total pixels in the field. Linear and multiple regression analysis was used to study the spectral behavior of the plants and to correlate with agronomic variables (days after harvest-DAC, LAI, NPM, BMT and TSS). No difference was observed between the methodologies to collect spectral data. The best models to describe the spectral crop development in relation to DAC were the quadratic and cubic models. Ratio vegetation index and normalized difference vegetation index demonstrated correlation with DAC, band 3 (B3) was correlated with LAI, and NDVI was well correlated with TSS and BMT. The best fit curves to estimate TSS and BMT presented r2 between 0.68 and 0.97, suggesting good potential in using orbital spectral data to monitor sugarcane fields.
dc.description66
dc.description4
dc.description451
dc.description461
dc.descriptionBatista, G.T., Novaes, R.A., Tardin, A.T., Mendonça, F.J., Lee, D.C.L., dos Santos, J.R., Chen, S.C., Toscano, L.P., (1976) Atividade do projeto estatísticas agrícolas durante o ano de 1975: Relatório, p. 18. , São José dos Campos: INPE
dc.descriptionBatista, G.T., Mendonça, F.J., Lee, D.C.L., Tardin, A.T., Chen, S.C., Novaes, R.A., (1978) Uso de sensores remotos a bordo de satélite e aeronave na identificação e avaliação de áreas de culturas para fins de previsão de safras, p. 33. , São José dos Campos: INPE, INPE-1289-NTE/124 Rótulo
dc.descriptionBiard, F., Baret, F., Crop residue estimation using multiband reflectance (1997) Remote Sensing of Environment, 59, pp. 530-536
dc.description(1993) Quarta geração de variedades de cana-de-açúcar Copersucar, p. 18. , BOLETIM TÉCNICO COPERSUCAR, São Paulo: Copersucar, Edição Especial
dc.descriptionCarlson, T., Ripley, D.A., On the relation between NDVI, vegetation cover and leaf area index (1997) Remote Sensing of Environment, 62, pp. 241-252
dc.descriptionDemattê, J.A.M., Nanni, M.R., Weathering sequence of soils developed from basalt as evaluated by laboratory (IRIS), airborne (AVIRIS) and orbital (TM) sensors (2003) International Journal of Remote Sensing, 24, pp. 4715-4738
dc.descriptionDavidson, A., Csillag, F., The influence of vegetation index and spatial resolution on a two-date remote sensing-derived relation to C4 species coverage (2001) Remote Sensing of Environment, 75, pp. 138-151
dc.description(1999) Sistema brasileiro de classificação de solos, p. 412. , EMPRESA BRASILEIRA DE PESQUISA AGROPECUÁRIA - EMBRAPA. Centro Nacional de Pesquisa de Solos, Rio de Janeiro: Embrapa/ CNPS
dc.descriptionEpiphânio, J.C.N., Huete, A.R., Dependence of NDVI and SAVI on sun/sensor geometry and its effect on fAPAR relationships in alfafa (1995) Remote Sensing of Environment, 51, pp. 351-360
dc.descriptionEpiphânio, J.C.N., Gleriani, J.M., Formaggio, A.R., Rudorff, B.F.T., Índices de vegetação no sensoriamento remoto da cultura do feijão (1996) Pesquisa Agropecuária Brasileira, 31, pp. 445-454
dc.descriptionEpiphânio, J.C.N., Almeida Jr., A.C., Formaggio, A.R., Wheat development evaluated by remote sensing using two vegetation indices (1997) Anais da Academia Brasileira de Ciências, 69, pp. 471-478
dc.descriptionFormaggio, A.R., (1983) Comportamento espectral de quatro solos do Estado de São Paulo nos níveis orbital, de campo e de laboratório, p. 90. , São José dos Campos:. INPE, Dissertação (Mestrado)
dc.descriptionFortes, C., (2003) Discriminação varietal e estimativa de produtividade agroindustrial de cana-de-açúcar pelo sensor orbital ETM+/ Landsat 7, p. 131. , Piracicaba: USP/ESALQ, Dissertação (Mestrado)
dc.descriptionGitelson, A.A., Stark, R., Grits, U., Rundquist, D., Kaufman, Y., Derry, D., Vegetation and soil lines in visible spectral space: A concept and technique for remote estimation of vegetation fraction (2002) International Journal of Remote Sensing, 23, pp. 2537-2562
dc.descriptionHuete, A.R., A Soil Adjusted Vegetation Index (SAVI) (1988) Remote Sensing of Environment, 25, pp. 295-309
dc.descriptionIppoliti-Ramilo, G.A., Epiphanio, J.C.N., Shimabukuro, Y.E., Formaggio, A.R., Sensoriamento remoto orbital como meio auxiliar na previsão de safras (1999) Agricultura em São Paulo, 46, pp. 89-101
dc.descriptionJackson, R.D., Huete, A.R., Interpreting vegetation indices (1991) Journal of Preventive Veterinary Medicine, 11, pp. 185-200
dc.descriptionJordan, C.F., Derivation of leaf area index from quality of light on the forest floor (1969) Ecology, 50, pp. 663-666
dc.descriptionKanemasu, E.T., Seasonal canopy reflectance patterns of wheat, sorghum, and soybean (1974) Remote Sensing of Environment, 3, pp. 43-47
dc.descriptionvan Leeuwen, W.J.D., Huete, A.R., Effects of standing litter on the biophysical interpretation of plant canopies with spectral indices (1996) Remote Sensing of Environment, 55, pp. 123-138
dc.description(2007) The LAI-2000 Plant Canopy Analyzer, p. 14. , http://www.licor.com/env/PDF_Files/LAI2000.pdf, LI-COR, Available at:, Accessed 02 Aug
dc.descriptionMachado, H.M., (2003) Determinação da variabilidade espacial da biomassa da cana-de-açúcar por meio de dados espectrais do satélite Landsat 7/ETM+, p. 70. , Campinas: Unicamp/FEA, Dissertação (Mestrado)
dc.descriptionMoran, S.M., Jackson, R.D., Slater, P.N., Teillet, P.M., Comparison of atmosferic correction procedures for visible and near-ir satellite sensor output. Courchevel-France (1991) International Colloquium-physical Measurements and Signatures in Remote Sensing, pp. 7-12. , 5., Courchevel, Proceedings. Courchevel, ESA SP-319
dc.descriptionMoran, S.M., Maas, S.J., Pinter Júnior., P.J., Combining remote sensing and modeling for estimating surface evaporation and biomass production (1995) Remote Sensing Reviews, 12, pp. 335-353
dc.descriptionOliveira, J.B., Menk, J.R.F., Barbieri, J.L., Rotta, C.L., Tremocoldi, W., (1982) Levantamento pedológico do Estado de São Paulo: Quadrícula de Araras, p. 180. , Campinas: Instituto Agronômico, (Boletim técnico, 71)
dc.descriptionPearson, R.L., Miller, L.D., Remote mapping of standing crop biomass for estimation of the productivity of the shortgrass prairie, Pawnee National Grassland, Colorado (1972) International Symposium on Remote Sensing of the Environment, 2, pp. 1355-1379. , 8., Ann Arbor, 1972, Proceedings. Ann Arbor
dc.descriptionPellegrino, G.Q., (2001) Utilização de dados espectrais do satélite NOAA14/AVHRR como fonte de dados para modelos matemáticos de estimativa da fitomassa da cana-de-açúcar, p. 116. , Campinas: UNICAMP, Tese (Doutorado)
dc.descriptionPinter Jr., P.J., Jackson, R.D., Moran, M.S., Bidirectional reflectance factors of agricultural targets: A comparison of ground-, aircraft-, and satellite-based observations (1990) Remote Sensing of Environment, 32, pp. 215-228
dc.descriptionPrice, J.C., Bausch, W.C., Leaf area index estimation from visible and near-infrared reflectance data (1995) Remote Sensing of Environment, 52, pp. 55-65
dc.descriptionRouse, J.W., Haas, R.H., Schell, J.A., Deering, D.W., Monitoring vegetation systems in the great plains with ERTS (1973) Earth Resources Technology Satellite-1 Symposium, 1, pp. 309-317. , 3., Washington, D.C., 1973., Proceedings. Washington, D.C.: NASA. Goddart Space Flight Center, NASA SP-351)
dc.descriptionRudorff, B.F.T., (1985) Dados Landsat na estimativa da produtividade agrícola da cana-de-açúcar, p. 114. , São José dos Campos: INPE, Dissertação (Mestrado)
dc.descriptionRudorff, B.F.T., Batista, G.T., Yield estimation of sugarcane based on agrometeorological-spectral models (1990) Remote Sensing of Environment, 33, pp. 183-192
dc.descriptionSimões, M.S., Rocha, J.V., Lamparelli, R.A.C., Análise do comportamento espectral de uma área comercial de cana-de- açúcar em duas safras por meio de radiometria de campo (2003) Simpósio Brasileiro de Sensoriamento Remoto, pp. 2367-2374. , 11., Belo Horizonte, 2003. Anais. São José dos Campos: INPE, CD ROM
dc.descriptionTanré, D., Deroo, C., Dahaut, P., Herman, M., Morcrette, J.J., Perbos, J., Deschamps, P.Y., Technical note: Description of a computer code to simulate the satellite signal in the solar spectrum: The 5S code (1990) Internacional Journal of Remote Sensing, 11, pp. 659-668
dc.descriptionXavier, A.C., (2003) Estimativa da dinâmica do índice de área foliar em uma microbacia hidrográfica por meio de técnicas de sensoriamento remoto, p. 111. , Piracicaba: USP/ESALQ, Tese (Doutorado)
dc.descriptionWiegand, C.L., Richardson, A.J., Escobar, D.E., Gerbermann, A.H., Vegetation indices in crop assessments (1991) Remote Sensing of Environment, 35, pp. 105-119
dc.descriptionZullo Jr., J., Arruda, F.B., (1986) Programa computacional para ajuste de equações em dados experimentais, p. 23. , Campinas, Instituto Agronômico, (Boletim Técnico, 113)
dc.descriptionZullo Jr., J., Bezerra, P.C., Correção atmosférica de imagens de satélite utilizando o 5S (1993) Simpósio Brasileiro de Sensoriamento Remoto, p. 7. , 7., Curitiba,1993, Anais. São José dos Campos: INPE
dc.descriptionZullo Jr., J., (1994) Correção atmosférica de imagens de satélite e aplicações, p. 156. , Faculdade de Engenharia Elétrica, Campinas: UNICAMP, (Tese de Doutorado)
dc.languagept
dc.publisher
dc.relationScientia Agricola
dc.rightsaberto
dc.sourceScopus
dc.titleOrbital Spectral Variables, Growth Analysis And Sugarcane Yield [variáveis Espectrais Orbitais, Indicadoras De Desenvolvimento E Produtividade Da Cana-de-açúcar]
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución