Representação De Ciclos Harmônicos De Séries Temporais Modis Para Análise Do Cultivo Da Cana-de-açúcar

The objective of this work was to evaluate sugarcane cultivation, in a harmonic analysis applied to a time series of Modis vegetation indices, with the representation of harmonic terms. Daily rainfall data were obtained from Agritempo for the state of Sao Paulo, Brazil, and accumulated for a period of 16 days of Modis compositions, from the 2004/2005 to 2011/2012 crop seasons. The normalized difference vegetation index (NDVI) and the enhanced vegetation index (EVI) were used in time-series decomposed in harmonic terms by the harmonic analysis. In order to visualize the growing conditions of vegetation in agricultural areas, specially the phase information, the HLS transformation was applied to the harmonic terms obtained by the Hants algorithm, using Envi software. Sugarcane cultivation in the state of Sao Paulo shows spatial patterns that are coherent with the sugarcane development cycle and consistent with the variability of seasonal rainfall that directly affect the maximum period of vegetation indices. The peak growth stage of sugarcane occurs in years of normal rainfall; however, in years with below normal rainfall, sugarcane maturation phase is anticipated, and, in years with above normal rainfall, the growth phase is anticipated, which causes maturation delay.51111868187

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

Temporal 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.664451461Batista, 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: INPEBatista, 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 RótuloBiard, F., Baret, F., Crop residue estimation using multiband reflectance (1997) Remote Sensing of Environment, 59, pp. 530-536(1993) Quarta geração de variedades de cana-de-açúcar Copersucar, p. 18. , BOLETIM TÉCNICO COPERSUCAR, São Paulo: Copersucar, Edição EspecialCarlson, T., Ripley, D.A., On the relation between NDVI, vegetation cover and leaf area index (1997) Remote Sensing of Environment, 62, pp. 241-252Demattê, 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. 4715-4738Davidson, 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(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/ CNPSEpiphânio, 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. 351-360Epiphânio, 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. 445-454Epiphânio, 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. 471-478Formaggio, 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)Fortes, 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)Gitelson, 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. 2537-2562Huete, A.R., A Soil Adjusted Vegetation Index (SAVI) (1988) Remote Sensing of Environment, 25, pp. 295-309Ippoliti-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. 89-101Jackson, R.D., Huete, A.R., Interpreting vegetation indices (1991) Journal of Preventive Veterinary Medicine, 11, pp. 185-200Jordan, C.F., Derivation of leaf area index from quality of light on the forest floor (1969) Ecology, 50, pp. 663-666Kanemasu, E.T., Seasonal canopy reflectance patterns of wheat, sorghum, and soybean (1974) Remote Sensing of Environment, 3, pp. 43-47van 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(2007) The LAI-2000 Plant Canopy Analyzer, p. 14. , http://www.licor.com/env/PDF_Files/LAI2000.pdf, LI-COR, Available at:, Accessed 02 AugMachado, 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)Moran, 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-319Moran, 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. 335-353Oliveira, 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)Pearson, 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 ArborPellegrino, 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)Pinter 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. 215-228Price, J.C., Bausch, W.C., Leaf area index estimation from visible and near-infrared reflectance data (1995) Remote Sensing of Environment, 52, pp. 55-65Rouse, 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)Rudorff, B.F.T., (1985) Dados Landsat na estimativa da produtividade agrícola da cana-de-açúcar, p. 114. , São José dos Campos: INPE, Dissertação (Mestrado)Rudorff, B.F.T., Batista, G.T., Yield estimation of sugarcane based on agrometeorological-spectral models (1990) Remote Sensing of Environment, 33, pp. 183-192Simões, 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 ROMTanré, 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. 659-668Xavier, 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)Wiegand, C.L., Richardson, A.J., Escobar, D.E., Gerbermann, A.H., Vegetation indices in crop assessments (1991) Remote Sensing of Environment, 35, pp. 105-119Zullo Jr., J., Arruda, F.B., (1986) Programa computacional para ajuste de equações em dados experimentais, p. 23. , Campinas, Instituto Agronômico, (Boletim Técnico, 113)Zullo 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: INPEZullo Jr., J., (1994) Correção atmosférica de imagens de satélite e aplicações, p. 156. , Faculdade de Engenharia Elétrica, Campinas: UNICAMP, (Tese de Doutorado

Determinação do total acumulado de precipitação, radiação global, evapotranspiração de referência e graus-dias oriundos do modelo ECMWF para o cultivo cana-de-açúcar

The climate variability between the growth and harvesting of sugar cane is very important because it directly affects yield. The MODIS sensor has characteristics like spatial and temporal resolution that can be applied to monitoring of vegetative vigor variability in the land surface and then, temporal profiles generation. Agro meteorological data from ECMWF model are free and easy to access and have a good representation of reality. In this study, we used the period between sugar cane growth and harvest in the state of Sao Paulo, Brazil, from temporal profiles selecting of NDVI behavior. For each period the precipitation, evapotranspiration, global radiation, length (days) and degree-days were accumulated. The periods were presented in a map format on MODIS spatial resolution of 250 meters. The results showed the spatial variability of climate variables and the relationship to the reality presented by official data.342322331O conhecimento da influência da variabilidade climática no período entre o crescimento e a colheita da cana-de-açúcar é de grande importância, pois afeta diretamente a produtividade. O sensor MODIS, devido a sua resolução espacial e temporal, permite o monitoramento da variabilidade do vigor vegetativo na superfície terrestre e, por conseguinte, a geração de perfis temporais deste comportamento a partir de seus produtos. Dados agrometeorológicos obtidos pelo modelo ECMWF, além de gratuitos e de fácil acesso, apresentam boa representatividade da realidade. Neste trabalho, foram utilizados intervalos de crescimento e colheita obtidos pela seleção de perfis temporais de NDVI com comportamento de cana-de-açúcar no Estado de São Paulo. A partir destes, foram acumulados, dentro de cada período, a soma da precipitação pluvial, evapotranspiração de referência, radiação global e comprimento do período em dias. Além disso, foi feito o somatório de graus-dia da cana-de-açúcar. Todos os resultados foram apresentados em formato de mapa, na resolução espacial do sensor MODIS de 250 metros. A análise dos resultados mostrou que foi possível identificar a variabilidade espacial das variáveis climáticas e sua relação com a realidade apresentada por órgãos oficiais

Intensity of land use changes in a sugarcane expansion region, Brazil

In the last decades, Brazil has been consolidated as one of the world's largest producers of food, with emphasis on soybeans, sugarcane and beef production. With the opening of new markets and the increase in demand, a competitive scenario was developed among farming activties, resulting in changes in land use and cover. Thus, this study aimed to verify the spatial and temporal land use changes, through intensity analysis, in the microregion of Presidente Prudente, Sao Paulo state, in two time intervals, 2004-2007 and 2007-2015, in addition to determining the relevance of pasture in this context. The identification of land uses occurred through the analysis of the spectrum-temporal pattern of the Normalized Difference Vegetation Index (NDVI) from Moderate Resolution Imaging Spectroradiometer (MODIS), in such a way that six classes were identified, annual crop, water, sugarcane, forest, pasture and urban area. The categories annual crop and sugarcane had more intense variations of losses and gains in the studied time intervals. The category pasture was the primary supplying source of the area, showing a reduction of approximately 180,000 hectares in the analyzed period, losing area with greater intensity for the categories of annual crop and sugarcane.13182197FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP2014/26928 -

Impact Of The Normalization Process On The Spectral-temporal Profile Of Soybean Crops Based On Vegetation Indexes

Preprocessing of imagery time series is needed in order to carry out crop vegetative cycles analysis. Automatic normalization is a very interesting tool in the atmospheric correction process of satellite image time series in contrast to the radiative models. Thus, the purpose of this article is to ascertain the impact on the spectral-temporal profile of soybean crops using normalization through the multivariate alteration detection (MAD) technique during the 2004/2005 soybean harvesting season in Brazil. The normalized difference and greenness vegetation indices (NDVI/GVI) were selected to represent the temporal spectral profile. Five images were used for this study and all images were corrected for the atmospheric effect through the MAD technique, using the 5S radioactive transfer model. As the main outcome, it was noticed that normalization caused a negative impact on the spectral curves analysed, smoothing their shapes and distorting the crop growth curve. © 2012 Copyright Taylor and Francis Group, LLC.33516051626Anderson, G.P., Chetwynd, J.H., Theriault, J.M., Acharya, P., Berk, A., Robertson, D.C., Kneizys, F.X., Shettle, P., MODTRAN2: Suitability for remote sensing (1993) Proceedings of the International Society for Optical Engineering (SPIE), pp. 514-525. , In 15 September 1993. 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