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| Registros recuperados: 28 | |
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| MENGUE,VAGNER P.; FONTANA,DENISE C.. |
| ABSTRACT One of the most relevant activities of Brazilian economy is agriculture. Among the main crops in Brazil, rice is one of high relevance. The state of Rio Grande do Sul, in Southern Brazil, is responsible for 68.7% of domestic production (IBGE, 2013). The goal of this study was to develop a low-cost methodology with a regional scope to identify suitable areas for irrigated rice cropping in this state, using spectro-temporal behavior of vegetation index by means of MODIS images and HAND model. The rice-cropped area of this study was the southern half of the State. Using the HAND model, flood areas were mapped to identify irrigated rice cultivation. We used multi-temporal images of vegetation index from MODIS sensor, covering the period from August... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: HAND Model; EVI; MODIS; Irrigated rice; Mapping. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000200329 |
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| Junges,Amanda H.; Fontana,Denise C.; Pinto,Daniele G.. |
| This study aimed to propose methods to identify croplands cultivated with winter cereals in the northern region of Rio Grande do Sul State, Brazil. Thus, temporal profiles of Normalized Difference Vegetation Index (NDVI) from MODIS sensor, from April to December of the 2000 to 2008, were analyzed. Firstly, crop masks were elaborated by subtracting the minimum NDVI image (April to May) from the maximum NDVI image (June to October). Then, an unsupervised classification of NDVI images was carried out (Isodata), considering the crop mask areas. According to the results, crop masks allowed the identification of pixels with greatest green biomass variation. This variation might be associated or not with winter cereals areas established to grain production. The... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Wheat; Black oat; Remote sensing; MODIS; NDVI. |
| Ano: 2013 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000400027 |
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| Johann,Jerry A.; Rocha,Jansle V.; Oliveira,Stanley R. de M.; Rodrigues,Luiz H. A.; Lamparelli,Rubens A. C.. |
| The aim of this study was to group temporal profiles of 10-day composites NDVI product by similarity, which was obtained by the SPOT Vegetation sensor, for municipalities with high soybean production in the state of Paraná, Brazil, in the 2005/2006 cropping season. Data mining is a valuable tool that allows extracting knowledge from a database, identifying valid, new, potentially useful and understandable patterns. Therefore, it was used the methods for clusters generation by means of the algorithms K-Means, MAXVER and DBSCAN, implemented in the WEKA software package. Clusters were created based on the average temporal profiles of NDVI of the 277 municipalities with high soybean production in the state and the best results were found with the K-Means... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Annual crop; MODIS; SPOT Vegetation; MAXVER; K-Means. |
| Ano: 2013 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000300008 |
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| Ramme,Fernando L. P.; Lamparelli,Rubens A. C.; Rocha,Jansle V.. |
| Este artigo descreve o desenvolvimento de um banco de dados relacional e de uma ferramenta para a visualização de perfis temporais do NDVI MODIS, a partir dos dados do produto MOD09Q1, referente ao fator de refletância bidirecional de superfície relativa ao comprimento de onda do vermelho e do infravermelho-próximo, composição temporal em mosaicos de 8 dias, e a banda de controle de qualidade, dos talhões de cana-de-açúcar no Estado de São Paulo, para analisar a maturação da cana-soca Tardia. Das fazendas de cana-de-açúcar são obtidos os dados de históricos sobre produtividade, solo, variedade, localização de cada pixel para cada microrregião monitorada. Todos os dados são integrados em um banco de dados desenvolvido em PostgreSQL. O aplicativo foi... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: MODIS; Curvas espectrais; Índice de vegetação; Cana-de-açúcar. |
| Ano: 2010 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162010000300012 |
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| Moraes,Rafael A.; Rocha,Jansle V.; Lamparelli,Rubens A. C.. |
| 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... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Agro meteorological variable; ECMWF; MODIS; Sugar cane. |
| Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000200013 |
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| González Lanteri,David; Huete,Alfredo; Kim,HoJin; Didan,Kamel. |
| Using the 16 day MODIS (aboard the EOS Terra satellite) 250m NDVI and ground biophysical and spectral measurements we established simple relationships between these parameters and the canopy cover. The canopy cover is used in water erosion models to estimate the amount of soil loss under precipitation events and specific geographic conditions. Two transects, in the grassland part of the Walnut Gulch Experimental Watershed (WGEW) located near the town of Tombstone in Arizona, were established for ground data collection. Ground measurements were performed every 16 days, to coincide with the Terra Satellite overpass. Erosion, in desert environment is a contributing factor to soil degradation and subsequently desertification. Erosion is strongly related with... |
| Tipo: Journal article |
Palavras-chave: Canopy cover; MODIS; Soil erosion; Semi arid environment. |
| Ano: 2004 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-65382004000200043 |
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| Kim,Y. S; Kwon,B. H; Hong,K. M. |
| Two MODIS instruments on board the Terra and Aqua Satellites are operational for global remote sensing of the land, ocean and atmosphere. Atmospheric sounding data with a high spatial resolution from MODIS will provide a wealth of useful information. The vertical air temperature and moisture data were retrieved using the MODIS data, and compared with the radiosonde data obtained in the Korean Peninsula. The correlation coefficients are 0.99 and 0.89 for air temperature and moisture cases, respectively. Air temperature data were relatively good agreement, but the moisture data from MODIS were underestimated |
| Tipo: Journal article |
Palavras-chave: MODIS; Radiosonde; Vertical profile. |
| Ano: 2004 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-65382004000200058 |
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| Jafar-sidik, Madihah; Gohin, Francis; Bowers, David; Howarth, John; Hull, Tom. |
| From a data set of observations of Suspended Particulate Matter (SPM) concentration, Turbidity in Formazin Turbity Unit (FTU) and fluorescence-derived chlorophyll-a at a mooring station in Liverpool Bay, in the Irish Sea, we investigate the seasonal variation of the SPM:Turbidity ratio. This ratio changes from a value of around 1 in winter (minimum in January–February) to 2 in summer (maximum in May–June). This seasonal change can be understood in terms of the cycle of turbulence and of the phytoplankton population that affects the nature, shape and size of the particles responsible for the Turbidity. The data suggest a direct effect of phytoplankton on the SPM:Turbidity ratio during the spring bloom occurring in April and May and a delayed effect, likely... |
| Tipo: Text |
Palavras-chave: Turbidity; Suspended matter; MODIS; Irish Sea. |
| Ano: 2017 |
URL: http://archimer.ifremer.fr/doc/00383/49473/49960.pdf |
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| Guillou, Nicolas; Rivier, Aurelie; Gohin, Francis; Chapalain, Georges. |
| The present study investigates the performances of the three-dimensional multicomponent hydro-sedimentary model ROMS (Regional Ocean Modeling System) to predict near-surface suspended sediment concentrations (SSC) in the English Channel (western Europe). Predictions are assessed against satellite-retrieved observations from raw MODIS and MERIS images for the year 2008 characterized by the highest availability of cloud-free data. Focus is put on improvements obtained with: (1) SSC inputs at the open boundaries; and (2) simple parameterizations of the settling velocity and the critical shear stress. Sensitivity studies confirm the importance of the advection of fine-grained suspended sediments in the central waters of the English Channel exhibiting benefits... |
| Tipo: Text |
Palavras-chave: ROMS; Satellite; MERIS; MODIS; Tide; Wave. |
| Ano: 2015 |
URL: https://archimer.ifremer.fr/doc/00276/38766/37307.pdf |
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| Guillou, Nicolas; Rivier, Aurelie; Chapalain, Georges; Gohin, Francis. |
| Numerous ecological problems of continental shelf ecosystems require a refined knowledge of the evolution of suspended sediment concentrations (SSC). The present investigation focuses on the spatial and temporal variabilities of near-surface SSC in coastal waters of the English Channel (western Europe) by exploiting numerical predictions from the Regional Ocean Modeling System ROMS. Extending previous investigations of ROMS performances in the Channel, this analysis refines, with increased spatial and temporal resolutions, the characterization of near-surface SSC patterns revealing areas where concentrations are highly correlated with evolutions of tides and waves. Significant tidal modulations of near-surface concentrations are thus found in the eastern... |
| Tipo: Text |
Palavras-chave: Sediment transport; Numerical modeling; Satellite; ROMS; MERIS; MODIS. |
| Ano: 2017 |
URL: https://archimer.ifremer.fr/doc/00345/45607/45227.pdf |
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| Souza,Carolina Gusmão; Arantes,Tássia Borges; Carvalho,Luis Marcelo Tavares de; Aguiar,Polyanne. |
| Abstract: The objective of this work was to propose a new methodology for mapping coffee cropping areas that includes multitemporal data as input parameters in the classification process, by using the Landsat TM NDVI time series, together with an object-oriented classification approach. The algorithm BFAST was used to analyze coffee, pasture, and native vegetation temporal profiles, allied to a geographic object-based image analysis (GEOBIA) for mapping. The following multitemporal variables derived from the R package greenbrown were used for classification: mean, trend, and seasonality. The results showed that coffee, pasture, and native vegetation have different temporal behaviors, which corroborates the use of these data as input variables for mapping.... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: BFAST; Classification; MODIS; NDVI; Remote sensing; R package greenbrown. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000103701 |
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| Diniz-Filho,José Alexandre Felizola; Oliveira,Guilherme de; Lobo,Fábio; Ferreira,Laerte Guimarães; Bini,Luis Mauricio; Rangel,Thiago Fernando Lopes Valle Brito. |
| The Cerrado biome, the second largest biome in Neotropical region, consists of a mosaic of different habitat types, ranging from open grasslands to dense woodlands and dry forests. An intensive recent occupation process has transformed it into the most important region for cattle ranching and intensive commodity crops in Brazil. In this study, a macroecological approach was used to evaluate broad-scale spatial patterns of habitat loss in the Brazilian Cerrado, applying a series of spatial autocorrelation and partial regression analyses to understand how the proportion of remaining natural habitats is correlated with socio-economic variables, expressing different dimensions of human occupation and climatic variation. On average, 59% of the area is occupied... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: MODIS; Brazilian Cerrado; Spatial autocorrelation. |
| Ano: 2009 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000600007 |
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| Registros recuperados: 28 | |
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