Uso de imagens TST do sensor MODIS/AQUA como indicativo da ocorrência de geadas no RS

Although frost occurrence causes severe losses in agriculture, especially in the south of Brazil, the data of minimum air temperature (Tmin) currently available for monitoring and predicting frosts show insufficient spatial distribution. This study aimed to evaluate the MDY11A1 (LST – Land Surface Temperature) product, from the MODIS sensor on board the AQUA satellite as an estimator of frost occurrence in the southeast of the state of Rio Grande do Sul, Brazil. LST images from the nighttime overpass of the MODIS/AQUA sensor for the months of June, July and August from 2006 to 2012, and data from three conventional weather stations of the National Institute of Meteorology (INMET) were used. Consistency was observed between Tmin data measured in weather stations and LST data obtained from the MODIS sensor. According to the results, LSTs below 3 ºC recorded by the MODIS/AQUA sensor are an indication of a favorable scenario to frost occurrence.Apesar da ocorrência de geadas causar severas perdas à agricultura, em especial no Sul do Brasil, os dados de temperatura mínima do ar atualmente disponíveis para o monitoramento e previsão deste fenômeno apresentam distribuição espacial insuficiente. O objetivo deste trabalho foi avaliar o produto MDY11A1 (TST - Temperatura da Superfície Terrestre), do sensor MODIS a bordo do satélite AQUA como estimador da ocorrência de geadas sobre o Sudeste do Estado do Rio Grande do Sul. Utilizaram-se imagens de TST da passagem noturna do sensor MODIS/AQUA dos meses de junho, julho e agosto de 2006 a 2012 e dados de três estações meteorológicas convencionais do INMET. Verificou-se coerência entre os dados de Temperatura mínima do ar medidos em estações meteorológicas e os dados de Temperatura da superfície da terra obtidos do sensor MODIS. Resultados desta pesquisa apontam que as TSTs registradas pelo sensor MODIS/AQUA inferiores a 3 °C são indicativas de situação favorável à ocorrência de geadas

Correlations between spectral and biophysical data obtained in canola canopy cultivated in the subtropical region of Brazil

O objetivo deste trabalho foi a identificação das bandas espectrais, dos índices de vegetação e dos períodos do ciclo da canola em que a correlação entre os dados espectrais e os indicadores biofísicos (matéria seca total da parte aérea e rendimento de grãos) é mais significativa. Os experimentos foram conduzidos nas safras de 2013 e 2014, na Embrapa Trigo, no Estado do Rio Grande do Sul. Utilizou-se o delineamento experimental em blocos ao acaso, com quatro repetições, e os tratamentos foram cinco doses de nitrogênio em cobertura. Foram determinados a matéria seca das plantas, o rendimento de grãos e a fenologia. A resposta espectral da canola foi avaliada por medições de reflectância do dossel, com espectrorradiômetro, e, a partir desses dados, foram calculados os índices de vegetação SR, NDVI, EVI, SAVI e GNDVI. As correlações de Pearson entre as variáveis espectrais e biofísicas da canola mostraram que as melhores bandas para estimativa da matéria seca são as do vermelho (620 a 670 nm) e do infravermelho próximo (841 a 876 nm). O período vegetativo é o mais indicado para obtenção de correlações mais significativas para a canola. Todos os índices de vegetação utilizados são adequados para estimativas da matéria seca e do rendimento de grãos da canola.The objective of this work was to identify the spectral bands, vegetation indices, and periods of the canola crop season in which the correlation between spectral data and biophysical indicators (total shoot dry matter and grain yield) is most significant. The experiment was carried out during the 2013 and 2014 crop seasons at Embrapa Trigo, in the state of Rio Grande do Sul, Brazil. A randomized complete block design was used, with four replicates, and the treatments consisted of five doses of nitrogen topdressing. Plant dry matter, grain yield, and phenology were measured. The canola spectral response was evaluated by measuring the canola canopy reflectance using a spectroradiometer, and, with this data, the SR, NDVI, EVI, SAVI, and GNDVI vegetation indices were determined. Pearson’s correlations between the spectral and biophysical variables of canola showed that the red (620 to 670 nm) and near-infrared (841 to 876 nm) bands were the best to estimate the dry matter. The vegetative period is the most indicated to obtain the most significant correlations for canola. All the used vegetation indices are adequate for estimating the dry matter and grain yield of canola

Inventory Management with Raw Materials Costs Subject to Quotation: The Analysis of the Jewellery Industry

This thesis has the objective to present the particular inventory management problem in case of procurement of raw materials subject to quotation, a subject that goes beyond traditional stock control policies proposed by literature, where purchase price is typically assumed as a constant and therefore not even considered in the decision of when and how much to order

Use of LST images from MODIS/AQUA sensor as an indication of frost occurrence in RS

ABSTRACTAlthough frost occurrence causes severe losses in agriculture, especially in the south of Brazil, the data of minimum air temperature (Tmin) currently available for monitoring and predicting frosts show insufficient spatial distribution. This study aimed to evaluate the MDY11A1 (LST – Land Surface Temperature) product, from the MODIS sensor on board the AQUA satellite as an estimator of frost occurrence in the southeast of the state of Rio Grande do Sul, Brazil. LST images from the nighttime overpass of the MODIS/AQUA sensor for the months of June, July and August from 2006 to 2012, and data from three conventional weather stations of the National Institute of Meteorology (INMET) were used. Consistency was observed between Tmin data measured in weather stations and LST data obtained from the MODIS sensor. According to the results, LSTs below 3 ºC recorded by the MODIS/AQUA sensor are an indication of a favorable scenario to frost occurrence

Personality and attachment patterns in a clinical sample of adolescents at ultra-high risk for psychosis

The ultra-high risk (UHR) criteria were defined to identify young people at imminent risk of developing a first episode of psychosis. Identifying UHR individuals can help guide mental health practitioners in their treatment decision-making and adapt their interventions to the individual characteristics of patients in order to prevent the onset of psychosis. To date, only few studies have focused on personality features of the UHR patients’ population, using mostly self-report instruments despite their crucial limitations in this field. Moreover, very little research has examined the link between the risk for developing psychosis and insecure attachment. Notably, no empirical investigations have studied this relationship using the gold standard measure for attachment. This study aimed at examining with valid and reliable measures both personality features and attachment patterns in a clinical sample of UHR adolescents. Methods: 40 adolescent UHR outpatients were compared to 40 individuals who didn’t meet the ultra-high risk criteria. Each patient received a DSM personality diagnosis and was assessed using the Brief Psychiatric Rating Scale (BPRS) and Structured Interview for Prodromal Syndromes (SIPS/SOPS), the Shedler-Westen Assessment Procedure (SWAP-200-A), as well as the Adult Attachment Interview (AAI). Results: No differences between groups have been found when personality disorders were measured according to the DSM-IV-TR categories. However, UHR patients showed more impaired personality functioning and higher scores on two Q-factors of the SWAP-200: “inhibited/self- critical” and “emotionally dysregulated”. Finally, a higher degree of “cannot classify low- coherence” attachment patterns was found in UHR patients’ group. Conclusions: These primary findings seem to suggest the importance of taking into account the emotional dysregulation, social inhibition and disorganized attachment in treatment planning of UHR patients

Uso de imagens TST do sensor MODIS/AQUA como indicativo da ocorrência de geadas no RS

Although frost occurrence causes severe losses in agriculture, especially in the south of Brazil, the data of minimum air temperature (Tmin) currently available for monitoring and predicting frosts show insufficient spatial distribution. This study aimed to evaluate the MDY11A1 (LST – Land Surface Temperature) product, from the MODIS sensor on board the AQUA satellite as an estimator of frost occurrence in the southeast of the state of Rio Grande do Sul, Brazil. LST images from the nighttime overpass of the MODIS/AQUA sensor for the months of June, July and August from 2006 to 2012, and data from three conventional weather stations of the National Institute of Meteorology (INMET) were used. Consistency was observed between Tmin data measured in weather stations and LST data obtained from the MODIS sensor. According to the results, LSTs below 3 ºC recorded by the MODIS/AQUA sensor are an indication of a favorable scenario to frost occurrence.Apesar da ocorrência de geadas causar severas perdas à agricultura, em especial no Sul do Brasil, os dados de temperatura mínima do ar atualmente disponíveis para o monitoramento e previsão deste fenômeno apresentam distribuição espacial insuficiente. O objetivo deste trabalho foi avaliar o produto MDY11A1 (TST - Temperatura da Superfície Terrestre), do sensor MODIS a bordo do satélite AQUA como estimador da ocorrência de geadas sobre o Sudeste do Estado do Rio Grande do Sul. Utilizaram-se imagens de TST da passagem noturna do sensor MODIS/AQUA dos meses de junho, julho e agosto de 2006 a 2012 e dados de três estações meteorológicas convencionais do INMET. Verificou-se coerência entre os dados de Temperatura mínima do ar medidos em estações meteorológicas e os dados de Temperatura da superfície da terra obtidos do sensor MODIS. Resultados desta pesquisa apontam que as TSTs registradas pelo sensor MODIS/AQUA inferiores a 3 °C são indicativas de situação favorável à ocorrência de geadas