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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
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Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 1 to 3 of 3 (0.06 seconds)Spelling suggestions: "subject:"seasonal trend"" "subject:"reasonal trend""
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Seasonal trend and clinical presentation of Bacillus cereus bloodstream infection: association with summer and indwelling catheter / Bacillus cereus血流感染症発生の季節性変動と患者の臨床背景に関する研究Kato, Karin 25 July 2016 (has links)
Springer and European Journal of Clinical Microbiology and Infectious Diseases, 33, 2014, 1371-79, Seasonal trend and clinical presentation of Bacillus cereus bloodstream infection: association with summer and indwelling catheter, K. Kato & Y. Matsumura & M. Yamamoto & M. Nagao & Y. Ito & S. Takakura & S. Ichiyama, figure number 2, original copyright notice is given to the publication in which the material was originally published, by adding; with kind permission from Springer Science and Business Media / 京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第19922号 / 医博第4142号 / 新制||医||1017(附属図書館) / 33008 / 京都大学大学院医学研究科医学専攻 / (主査)教授 中川 一路, 教授 佐藤 俊哉, 教授 玉木 敬二 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM
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Spatio-temporal monitoring of vegetation phenology in the dry sub-humid region of Nigeria using time series of AVHRR NDVI and TAMSAT datasetsOsunmadewa, Babatunde Adeniyi, Gebrehiwot, Worku Zewdie, Csaplovics, Elmar, Adeofun, Olabinjo Clement 12 June 2018 (has links) (PDF)
Time series data are of great importance for monitoring vegetation phenology in the dry sub-humid regions where change in land cover has influence on biomass productivity. However few studies have inquired into examining the impact of rainfall and land cover change on vegetation phenology. This study explores Seasonal Trend Analysis (STA) approach in order to investigate overall greenness, peak of annual greenness and timing of annual greenness in the seasonal NDVI cycle. Phenological pattern for the start of season (SOS) and end of season (EOS) was also examined across different land cover types in four selected locations. A significant increase in overall greenness (amplitude 0) and a significant decrease in other greenness trend maps (amplitude 1 and phase 1) was observed over the study period. Moreover significant positive trends in overall annual rainfall (amplitude 0) was found which follows similar pattern with vegetation trend. Variation in the timing of peak of greenness (phase 1) was seen in the four selected locations, this indicate a change in phenological trend. Additionally, strong relationship was revealed by the result of the pixel-wise regression between NDVI and rainfall. Change in vegetation phenology in the study area is attributed to climatic variability than anthropogenic activities.
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Spatio-temporal monitoring of vegetation phenology in the dry sub-humid region of Nigeria using time series of AVHRR NDVI and TAMSAT datasetsOsunmadewa, Babatunde Adeniyi, Gebrehiwot, Worku Zewdie, Csaplovics, Elmar, Adeofun, Olabinjo Clement 12 June 2018 (has links)
Time series data are of great importance for monitoring vegetation phenology in the dry sub-humid regions where change in land cover has influence on biomass productivity. However few studies have inquired into examining the impact of rainfall and land cover change on vegetation phenology. This study explores Seasonal Trend Analysis (STA) approach in order to investigate overall greenness, peak of annual greenness and timing of annual greenness in the seasonal NDVI cycle. Phenological pattern for the start of season (SOS) and end of season (EOS) was also examined across different land cover types in four selected locations. A significant increase in overall greenness (amplitude 0) and a significant decrease in other greenness trend maps (amplitude 1 and phase 1) was observed over the study period. Moreover significant positive trends in overall annual rainfall (amplitude 0) was found which follows similar pattern with vegetation trend. Variation in the timing of peak of greenness (phase 1) was seen in the four selected locations, this indicate a change in phenological trend. Additionally, strong relationship was revealed by the result of the pixel-wise regression between NDVI and rainfall. Change in vegetation phenology in the study area is attributed to climatic variability than anthropogenic activities.
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