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Search Results: 1 - 10 of 20673 matches for " Peterson Ricardo;Demattê "
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Orbital and laboratory spectral data to optimize soil analysis
Fiorio, Peterson Ricardo;Demattê, José Alexandre M.;
Scientia Agricola , 2009, DOI: 10.1590/S0103-90162009000200015
Abstract: traditional soil analyses are time-consuming with high cost and environmental risks, thus the use of new technologies such as remote sensing have to be estimulated. the purpose of this work was to quantify soil attributes by laboratory and orbital sensors as a non-destructive and a non-pollutant method. the study area was in the region of barra bonita, state of s?o paulo, brazil, in a 473 ha bare soil area. a sampling grid was established (100 × 100 m), with a total of 474 locations and a total of 948 soil samples. each location was georeferenced and soil samples were collected for analysis. reflectance data for each soil sample was measured with a laboratory sensor (450 to 2,500 nm). for the same locations, reflectance data was obtained from a tm-landsat-5 image. multiple linear regression equations were developed for 50% of the samples. two models were developed: one for spectroradiometric laboratory data and the second for tm-landsat-5 orbital data. the remaining 50% of the samples were used to validate the models. the test compared the attribute content quantified by the spectral models and that determined in the laboratory (conventional methods). the highest coefficients of determination for the laboratory data were for clay content (r2 = 0.86) and sand (r2 = 0.82) and for the orbital data (r2 = 0.61 and 0.63, respectively). by using the present methodology, it was possible to estimate cec (r2 = 0.64) by the laboratory sensor. laboratory and orbital sensors can optimize time, costs and environment pollutants when associated with traditional soil analysis.
Cronologia e impacto ambiental do uso da terra na Microbacia Hidrográfica do Ceveiro, em Piracicaba, SP
Pesquisa Agropecuária Brasileira , 2000, DOI: 10.1590/S0100-204X2000000400001
Abstract: the objective of this work was to evaluate the chronology and environmental impact of the land use on ceveiro microbasin, in piracicaba, s?o paulo state, during the years of 1962, 1965, 1978 and 1995. photointerpretation and geoprocessing were used, allowing a fast and efficient integration of the data. the soils of the area are basically entisols and ultisols. annual crops that in 1965 occupied 42% of the microbasin area, in 1995 occupied 0,15%. in that same period, sugarcane passed from 16% to 66%, causing the decrease of the annual crops. the largest growth of sugarcane crop occurred from 1978 to 1995, characterizing the influence of the government incentives for its cultivation. pastures and reforestations also contributed to the expansion of sugarcane, with a decrease in area of 48% for pastures and 42% for reforestation. native forest and urban areas presented an increase from 1962 to 1995. the environmental impact in the ceveiro microbasin is indicated by vila de artemis dam, that from 1978 to 1995 decreased its area in 50% due to silting.
Análise discriminante dos solos por meio da resposta espectral no nível terrestre
Nanni, Marcos Rafael;Demattê, José Alexandre M.;Fiorio, Peterson Ricardo;
Pesquisa Agropecuária Brasileira , 2004, DOI: 10.1590/S0100-204X2004001000007
Abstract: the objective of this study was to develop and test a discrimination method for soil classes by their spectral response (sr), using a laboratory sensor. spectral data were used to develop statistical model for discriminating soil classes in an area at the southwest of s?o paulo state, brazil. discriminant equations were developed for 18 soil classes. the spectral data were obtained in superficial and subsuperficial soil samples in the study area, with a total of 370 samples. the samples were collected in 185 ha, with one borehole per ha. the results showed that soil classes can be separated and delimitated by discriminant analysis. the analysis presented a classification index higher than 80% for each soil class. the global classification index was 90.71%, when all soil classes were used to develop the model, and 93.44% when most individuals classes were used. the simulated statistical test was efficient in the discriminant analysis, presenting a classification index higher than 91%, with a global error of 8.8%. the analysis demonstrated a reduction of the model quality when applied for 20% sub-group of the samples with global error of 33.9%. the method helped in the soil classes discrimination by their spectral reflectance, based on their physical interaction with electromagnetic energy.
Cronologia e impacto ambiental do uso da terra na Microbacia Hidrográfica do Ceveiro, em Piracicaba, SP
Pesquisa Agropecuária Brasileira , 2000,
Abstract: Este trabalho objetivou avaliar a cronologia e o impacto ambiental do uso da terra na Microbacia Hidrográfica do Ceveiro (MHC), nos anos de 1962, 1965, 1978 e 1995. Utilizou-se a fotointerpreta o e geoprocessamento, o que permitiu uma rápida e eficiente integra o entre os dados levantados. Os solos da área s o basicamente Litossolos e Podzólicos Vermelho-Amarelos. A cultura anual, que em 1965 chegou a ocupar 42% da área da microbacia, em 1995 ocupava 0,15%. Nesse mesmo período, o plantio da cana-de-a úcar passou de 16% para 66%, sendo esta cultura a principal causa da diminui o das culturas anuais na microbacia. O maior aumento do plantio da cana-de-a úcar ocorreu de 1978 a 1995, caracterizando, assim, a influência dos incentivos governamentais para o seu cultivo. As pastagens e os reflorestamentos também contribuíram para a expans o do plantio da cana-de-a úcar, com uma diminui o em área de 48% das pastagens e 42% do reflorestamento. As áreas de mata nativa e urbana apresentaram um aumento de 1962 a 1995. O impacto ambiental na MHC tem como indicador a represa da Vila de Artemis, que, de 1978 a 1995, diminuiu sua área em 50%, em decorrência do assoreamento.
Spectral analysis of soils from Mogi-Gua ú (SP) Region Análise espectral de solos da Regi o de Mogi-Gua ú (SP)
Aline Marques Genú,José Alexandre Melo Demattê,Peterson Ricardo Fiorio
Semina : Ciências Agrárias , 2010,
Abstract: With the development of remote sensing techniques, the understanding of soil spectral response with the purpose to assist soil mapping and estimate soil attributes, become necessary. For this, the objective of this work was to analyze the spectral response of eight soil profiles from Mogi-Gua ú (SP) region obtained in laboratory and correlate them with soil texture and their chemical and mineralogical characteristics. The soils were sampled in each horizon and radiometric data was obtained by a spectroradiometer in laboratory. It was possible to discriminate the spectral response of each soil and relate them with texture, organic matter and iron oxides content. The analysis of reflected electromagnetic energy permitted to evaluate the soils mineralogical compounds like iron oxides, kaolinite, gibbsite and 2:1 clay minerals. These results indicate that this technique can be used as an auxiliary method in soil studies and mapping. Com o desenvolvimento das técnicas de sensoriamento remoto, o entendimento da resposta espectral dos solos com a finalidade de auxiliar no mapeamento e na estimativa dos seus atributos torna-se necessária. Desta forma, este trabalho teve por objetivo analisar a resposta espectral de oito perfis de solos da regi o de Mogi-Gua ú (SP) obtida em laboratório, e correlacioná-la com a textura e suas características químicas e mineralógicas. Os solos foram amostrados por horizontes e os dados de reflectancia foram obtidos em laboratório utilizando-se um espectroradi metro. Foi possível diferenciar a resposta espectral de cada solo e correlacioná-la com a textura, conteúdo de matéria organica e teor óxido de ferro. A análise da energia eletromagnética refletida permitiu avaliar a composi o mineralógica dos solos com rela o aos óxidos de ferro, caulinita, gibbsita e minerais 2:1. Tais resultados indicam que a análise espectral pode ser utilizada técnica auxiliar no estudo e mapeamento dos solos.
Diferencia??o espectral de solos utilizando dados obtidos em laboratório e por sensor orbital
Fiorio, Peterson Ricardo;Demattê, José A. M.;Nanni, Marcos Rafael;Formaggio, Antonio Roberto;
Bragantia , 2010, DOI: 10.1590/S0006-87052010000200025
Abstract: a huge amount of soil samples would be necessary to determine with precision the limits of soil units. techniques that would help on soil surveys such as the remote sensing ones have been proved to be of great value. the objective of this work was to evaluate the possibility of differentiating soils using spectral data from laboratory and satellite sensors. a study area with soils originated from two different parent materials, sandstone with loamy cement and basalt, was selected. a grid (100 m x 100 m) was used, totalizing 473 sampling points in the depths 0-20 cm (superficial, a) and 80-100 cm (subsuperficial, b). a soil map of the area with 28 mapping units was generated. the laboratory spectra (450 to 2500 nm) were obtained with an iris spectroradiometer. the orbital reflectance was obtained by image processing and overlaying of the tm-landsat-5 bands in the sampling points. discriminant equations were generated by statistical treatment with the sas software. from the seventy initial variables from laboratory data, fifty six were selected to generate the models of the equations; for orbital data, six of the seven tm bands were selected. the equations were tested and the confusion matrix were obtained. discriminant equations from laboratory data presented 81% success and the equations with orbital data 40%, however, for the satellite data it was verified a good efficiency for separating soils from different parent materials.
Potencialidade do uso da terra na microbacia hidrográfica do córrego do ceveiro na regi?o de Piracicaba
Fiorio, Peterson Ricardo;Demattê, José Alexandre M.;Melém Júnior, Nagib Jorge;Mazza, Jairo Antonio;
Scientia Agricola , 1999, DOI: 10.1590/S0103-90161999000500032
Abstract: the objective of this work was to evaluate the agricultural potential of the ceveiro watershed piracicaba, sp, brazil, which contains 1990 ha considering available environmental conditions. medium and clayey textured ultisols and entisols predominate. land use was determined by remote sensing, the limits of the were digitalized and crossed with soils and shape data, using the environmental analysis system for agricultural planning. these results were then compared with the current land usage patterns that occurred in 1995, to determine if differences existed between current and prescribed land use. in 1995, 48% of the area was being used below its potential use, 27% used appropriately, and 23% used with excessive intensity. the main difference in land use between the appropriately used and excessively used areas was due to sugarcane production.
Potencialidade do uso da terra na microbacia hidrográfica do córrego do ceveiro na regi o de Piracicaba
Fiorio Peterson Ricardo,Demattê José Alexandre M.,Melém Júnior Nagib Jorge,Mazza Jairo Antonio
Scientia Agricola , 1999,
Abstract: O objetivo do presente trabalho foi avaliar a ocupa o agrícola da Microbacia Hidrográfica do Ceveiro para o ano de 1995 e estabelecer a sua potencialidade. Para tanto, foi utilizado o Sistema de Análise Ambiental para Planejamento Agrícola. A microbacia localiza-se na regi o de Piracicaba, SP, com aproximadamente 1990 ha. Predominam os Podzólicos e os solos Litólicos de textura média e argilosa. O uso da terra foi determinado por fotointerpreta o, cujos os limites foram digitalizados e cruzados com os dados de declividade e solos, gerando mapas de intensidade de uso e aptid o agrícola. Os dados indicaram que apenas 27% da área da bacia estava sendo utilizada adequadamente, 48% estava sendo sub-utilizada e 23% excessivamente utilizada, com sérios riscos de degrada o dos solos. As principais distor es observadas quanto ao uso da terra foram em rela o a cultura da cana-de-a úcar, que ocupa áreas destinadas a cultura anual e pastagens.
Soil surface spectral data from Landsat imagery for soil class discrimination
Nanni, Marcos Rafael;Demattê, José Alexandre Melo;Chicati, Marcelo Luiz;Fiorio, Peterson Ricardo;Cézar, Everson;Oliveira, Roney Berti de;
Acta Scientiarum. Agronomy , 2012, DOI: 10.4025/actasciagron.v34i1.12204
Abstract: the aim of this study was to develop and test a method to determine and discriminate soil classes in the state of s?o paulo, brazil, based on spectral data obtained via landsat satellite imagery. satellite reflectance images were extracted from 185 spectral reading points, and discriminant equations were obtained to establish each soil class within the studied area. sixteen soil classes were analyzed, and discriminant equations that comprised tm5/landsat sensor bands 1, 2, 3, 4, 5, and 7 were established. the results showed that this methodology could effectively identify individual soil classes using discriminant analyses of the spectral data obtained from the surface. success rates of > 40% were achieved for 14 of the 16 evaluated soil classes when applying the satellite image data. when the 10 soil classes containing the largest number of minimum cartographic areas were used, the hit rate increased to > 50%, for seven soil classes with a global hit rate of 52%. when the soil classes were grouped based on their parent materials, the hit rate increased to 70%. thus, we concluded that the spectral method for soil classification was efficient.
Compara??o entre mapas de solos obtidos por sensoriamento remoto espectral e pelo método convencional
Demattê, José Alexandre M.;Genú, Aline Marques;Fiorio, Peterson Ricardo;Ortiz, Jonas Luís;Mazza, Jairo Ant?nio;Leonardo, Hudson Carlos Lissoni;
Pesquisa Agropecuária Brasileira , 2004, DOI: 10.1590/S0100-204X2004001200009
Abstract: the objective of this work was to compare the use of the spectral remote sensing for producing soil maps to the conventional method. using a planialtimetric base map, thirty sampling points were demarcated in the studied area. the samples were collected at 0-20, 40-60 and 80-100 cm depth in each point, all georreferenced, with the total of ninety samples in which the chemical, physical and radiometric analyses were performed. the radiometric data were obtained in laboratory using the spectroradiometer iris, in the range of 400-2,500 nm. using the analyses and interpretation of both the spectral and the planialtimetric data, a detailed spectral soil map was obtained. for the same area, a conventional detailed map was also obtained. four soil classes were identified in both maps. the produced maps presented good correlation, demonstrating that spectral data can be used as tool in soil survey. the use of spectral remote sensing, planialtimetric data and field work allows the obtention of a detailed soil map.
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