dc.creatorRamirez G.M.
dc.creatorZullo Jr. J.
dc.creatorAssad E.D.
dc.creatorPinto H.S.
dc.date2006
dc.date2015-06-30T18:01:10Z
dc.date2015-11-26T14:14:31Z
dc.date2015-06-30T18:01:10Z
dc.date2015-11-26T14:14:31Z
dc.date.accessioned2018-03-28T21:15:22Z
dc.date.available2018-03-28T21:15:22Z
dc.identifier
dc.identifierPesquisa Agropecuaria Brasileira. , v. 41, n. 4, p. 661 - 666, 2006.
dc.identifier0100204X
dc.identifier10.1590/S0100-204X2006000400017
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-33745831866&partnerID=40&md5=0f70e11f66086e1aa701e9ee8d3e09d7
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/102694
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/102694
dc.identifier2-s2.0-33745831866
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1242554
dc.descriptionThe objective of this work was to assess the impact of the better spatial and radiometric resolutions of the Ikonos-II panchromatic image, for the identification of coffee (Coffea arabica) planting areas, in comparison with a Landsat/ETM+ image. The area of study is situated in the city of Pedregulho, State of São Paulo, Brazil, where 50 coffee fields were selected. Information about plants features, like height, age, spacing and variety were collected. Images allowed the identification of coffee areas with different field features, and the calibrated Ikonos-II image showed the best results. Considering the areas with similar field features, images from both satellites were not efficient in the coffee identification. The atmospheric and radiometric corrections applied on the Ikonos-II image did not improve the analyses results. More than half of the identified areas in the Ikonos-II image could be found in the Landsat/ETM+ image (68%). The significant correlation between Landsat/ETM+ band 4 and Ikonos-II panchromatic channel shows a link between both satellite images.
dc.description41
dc.description4
dc.description661
dc.description666
dc.descriptionBatista, G.T., Tardin, A.T., Chen, S.C., Dallemand, J.F., Avaliação de produtos HRV/SPOT e TM/LANDSAT na discriminação de culturas (1990) Pesquisa Agropecuária Brasileira, 25, pp. 379-386
dc.descriptionColombo, R., Bellingeri, D., Fasolini, D., Marino, C.M., Retrieval of leaf area index in different vegetation types using high resolution satellite data (2003) Remote Sensing of Environment, 86, pp. 120-131
dc.descriptionDallemand, J.F., Tardin, A.T., Batista, G.T., Sensoriamento remoto e agricultura (1988) Ciência Hoje, 8, pp. 44-51
dc.descriptionDechka, J.A., Franklin, S.E., Watmough, M.D., Bennett, R.P., Ingstrup, D.W., Classification of wetland habitat and vegetation communities using multi-temporal Ikonos imagery in Southern Saskatchewan (2002) Canadian Journal of Remote Sensing, 28, pp. 679-685
dc.descriptionEpiphanio, 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.descriptionEpiphanio, J.C.N., Leonardi, L., Formaggio, A.R., Relações entre parâmetros culturais e resposta espectral de cafezais (1994) Pesquisa Agropecuária Brasileira, 29, pp. 439-447
dc.descriptionFang, H.L., Wu, B.F., Liu, H.Y., Huang, X., Using NOAA AVHRR and Landsat TM to estimate rice area year-by-year (1998) International Journal of Remote Sensing, 19, pp. 521-525
dc.descriptionGonzalez-Alonso, F., Cuevas, J.M., Arbiol, R., Baulies, X., Remote sensing and agricultural statistics: Crop area estimation in Northeastern Spain through diachronic Landsat TM and ground sample data (1997) International Journal of Remote Sensing, 18, pp. 467-470
dc.descriptionHamar, D., Ferencz, C., Lichtenberger, J., Tarcsai, G., Ferencz-Árkos, I., Field estimation for corn and wheat in the Hungarian Great Plain using satellite remote sensing data (1995) Novenytermeles, 44, pp. 147-160
dc.descriptionHerold, M., Goldstein, N.C., Clarke, K.C., The spatiotemporal form of urban growth: Measurement, analysis and modeling (2003) Remote Sensing of Environment, 86, pp. 286-302
dc.descriptionIppoliti-Ramilo, G.A., Epiphanio, J.C.N., Shimabukuro, Y.E., Landsat-5 thematic mapper data for preplanting crop area evaluation in tropical countries (2003) International Journal of Remote Sensing, 24, pp. 1521-1534
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.descriptionJohnson, L.F., Temporal stability of an NDVI-LAI relationship in a Napa Valley vineyard (2003) Australian Journal of Grape and Wine Research, 9, pp. 96-101
dc.descriptionJohnson, L.F., Roczen, D.E., Youkhana, S.K., Nemani, R.R., Bosch, D.F., Mapping vineyard leaf area with multispectral satellite imagery (2003) Computers and Electronics in Agriculture, 38, pp. 33-44
dc.descriptionLee, D.S., Shan, J., Bethel, J.S., Class-guided building extraction from Ikonos imagery (2003) Photogrammetric Engineering and Remote Sensing, 69, pp. 143-150
dc.descriptionLeonardi, L., (1990) Influência de Parâmetros Culturais de Cafezais Sobre Os Dados TM/LANDSAT-5, 171p. , Dissertação (Mestrado) - Instituto Nacional de Pesquisas Espaciais, São José dos Campos
dc.descriptionLiu, W.T.H., Liu, B.W.Y., Comparação entre três modelos de previsão de safra de café no Estado de Minas Gerais (1988) Ciência e Cultura, 40, pp. 801-807
dc.descriptionLobell, D.B., Asner, G.P., Comparison of Earth Observing-1 ALI and Landsat ETM+ for crop identification and yield prediction in Mexico (2003) IEEE Transactions on Geoscience and Remote Sensing, 41, pp. 1277-1282
dc.descriptionLunetta, R.S., Ediriwickrema, J., Johnson, D.M., Lyon, J.G., McKerrow, A., Impacts of vegetation dynamics on the identification of land cover change in a biologically complex community in North Carolina, USA (2002) Remote Sensing of Environment, 82, pp. 258-270
dc.descriptionMoreira, M.A., Expansão direta para estimar áreas de soja e milho através de dados multiespectrais e temporais do Landsat-TM (1991) Pesquisas Agropecuária Brasileira, 26, pp. 1607-1613
dc.descriptionPicini, A.G., De Camargo, M.B.P., Ortolani, A.A., Fazuoli, L.C., Gallo, P.B., Desenvolvimento e teste de modelos agrometeorológicos para a estimativa de produtividade do cafeeiro (1999) Bragantia, 58, pp. 157-170
dc.descriptionRead, J.M., Clark, D.B., Venticinque, E.M., Moreira, M.P., Application of merged 1-m and 4-m resolution satellite data to research and management in tropical forests (2003) Journal of Applied Ecology, 40, pp. 592-600
dc.descriptionSong, C., Woodcock, C.E., The spatial manifestation of forest succession in optical imagery: The potential of multiresolution imagery (2002) Remote Sensing of Environment, 82, pp. 271-284
dc.descriptionSugumaran, R., Zerr, D., Prato, T., Improved urban land cover mapping using multi-temporal IKONOS images for local government planning (2002) Canadian Journal of Remote Sensing, 28, pp. 90-95
dc.descriptionTanré, D., Deroo, C., Duhaut, P., Herman, M., Morcrette, J.J., Perbos, J., Deschamps, P.Y., Description of a computer code to simulate the satellite signal in the solar spectrum: The 5S code (1990) International Journal of Remote Sensing, 11, pp. 659-668
dc.descriptionVicente, J.R., Caser, D.V., Camargo, A.M.M.P., Olivetti, M.P.A., Piva, L.H.O., Comparações entre dados dos censos agropecuários e estimativas das safras agrícolas do Estado de São Paulo (1990) Agricultura Em São Paulo, 37, pp. 97-104
dc.descriptionZullo Junior, J., (1994) Correção Atmosférica de Imagens de Satélite e Aplicações, 190p. , Tese (Doutorado) - Universidade Estadual de Campinas, Campinas
dc.languagept
dc.publisher
dc.relationPesquisa Agropecuaria Brasileira
dc.rightsaberto
dc.sourceScopus
dc.titleComparison Between Ikonos-ii And Landsat/etm+ Satellites Data In The Study Of Coffee Areas [comparação De Dados Dos Satélites Ikonos-ii E Landsat/etm+ No Estudo De áreas Cafeeiras]
dc.typeArtículos de revistas


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