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ABSTRACT: Time series of remote sensing EVI/MODIS data are an important source of information to evaluate the direct land conversion to sugarcane in response to increased ethanol production in Brazil. The present work uses a time series of EVI/MODIS data to identify the land use prior to the conversion to sugarcane in a dense cultivated region in Parana¿ State, Brazil. Some sugarcane fields were selected over MODIS images acquired during the period of 2000 to 2008 in order to obtain reference time series to perform the land use classification prior to 2005. Using the temporal behavior of the EVI curves it was possible to distinguish among pasture land, annual crops and sugarcane in order to identify the land use prior to sugarcane conversion. It was noticed that in 2000 several of the annual crop fields in 2005, were pasture land in 2000 which were gradually converted to annual crops until 2005 and then to sugarcane.
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009; 08/2009
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ABSTRACT: This work presents a methodology that uses fraction images derived from Linear Spectral Mixture Model and wavelets transform from MODIS time-series for land cover change analysis. Our approach uses MODIS/Terra surface reflectance images acquired from 2000 to 2006 time period. For this study, a test site was selected in the Mato Grosso State, Brazilian Amazonia, encompassing several landscape types as tropical forest, savanna, transitional forest, regrowth, deforested areas, croplands and pasture. The samples of land cover classes were collected during four field campaigns (2003, 2004, 2005, and 2006) to be used as ground truth. The linear spectral mixture model was applied to the MODIS surface reflectance images of RED, NIR and MIR spectral bands. This model generated the vegetation, shade, and soil fraction images. In the next step, the Meyer orthogonal Discrete Wavelets Transform was used for filtering the time-series of MODIS fraction images. The filtered signal was reconstructed excluding high frequencies for each pixel in the fraction images (soil, vegetation, and shade) of the time-series. This procedure allows to observe the original signal without clouds and other noises. The accumulated precipitation data were used for dynamic phenological analysis, which showed the temporal lags between wet season and vegetation growing stages. The results show that wavelets transform can provide a gain in multitemporal analysis and visualization on inter-annual fraction images variability patterns.
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International; 08/2007
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ABSTRACT: This paper discusses the use of a JERS-1 synthetic aperture radar (SAR) time-series for mapping and monitoring land cover in a test site in the region of Corumbiara, Rondonia State, western Brazilian Amazonia. In order to support JERS-1 data analysis, land cover maps were obtained by digital classification of Landsat TM images acquired from 1993 to 1997 period, following a procedure based on image segmentation, unsupervised classification, and post-classification image edition. The comparison of these products with JERS-1 images shows that clean deforested areas are well identified presenting a low backscattering response as expected. However areas that have been cleared and even burned but with remaining forest material left on the ground present high backscattering response opposed to expected. Considering these observations and user interpretation expertise, JERS-1 SAR images can be used to map and monitor land cover changes in Amazonia.
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International; 08/2007
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ABSTRACT: Cited By (since 1996): 2, Export Date: 15 March 2012, Source: Scopus, doi: 10.1590/S0100-204X2008001000016, Language of Original Document: Portuguese, Correspondence Address: Adami, Marcos; Instituto Nacional de Pesquisas Espaciais, Caixa Postal 515, CEP 12245-970 São José dos Campos, SP, Brazil; email: adami@dsr.inpe.br, References: ABDON, M.D.M., SILVA, J., dos, S.V., da, POTT, V.J., POTT, A., SILVA, da, M.P., Utilização de dados analógicos do Landsat-TM na discriminação da vegetação de parte da sub-região da Nhecolândia no Pantanal. (1998) Pesquisa Agropecuária Brasileira, 33, pp. 1799-1813;
Pesquisa Agropecuaria Brasileira. 43(10):1371-1378.
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ABSTRACT: Conference code: 79920, Export Date: 15 March 2012, Source: Scopus, Art. No.: 5417326, CODEN: IGRSE, doi: 10.1109/IGARSS.2009.5417326, Language of Original Document: English, Correspondence Address: Rudorff, B. F. T.; National Institute for Space Research (INPE), Remote Sensing Division (DSR), São José dos Campos, 12227- 010, SP, Brazil; email: bernardo@dsr.inpe.br, References: (2008) The State of Food and Agriculture, , Food and Agriculture Organization of the United Nations, FAO, Rome;, Sponsors: The Institute of Electrical and Electronics Engineers; Geoscience and Remote Sensing Society
