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        Investigating the capabilities of multispectral remote sensors data to map alteration zones in the Abhar area, NW Iran

        Bahrami Yousef,Hassani Hossein,Maghsoudi Abbas 한국자원공학회 2021 Geosystem engineering Vol.24 No.1

        Economic mineralization is often associated with alterations that are identifiable by remote sensing coupled geological analysis. The present paper aims to investigate the capabilities of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Landsat-8 and Sentinel-2 data to map iron oxide and hydrothermally alteration zones in the Abhar area, NW Iran. To achieve this goal, the principal component analysis (PCA) and two machine learning methods including support vector machine (SVM) and artificial neural network (ANN) were employed. PCA method was carried out on four bands of all data and then the appropriate principal components were selected to map alterations. Due to the high precision of ASTER data within the short-wave infrared range, these data results are more satisfactory compared with Landsat-8 and Sentinel-2 sensors in detecting hydrothermally alterations through the PCA technique. Based on the obtained maps, the performance of all data types was approximately similar in the detection of iron oxide zones. Our desired data were classified by two methods of SVM and ANN. The results of these algorithms were presented as confusion matrix. According to these results, for hydrothermally alterations, ASTER data showed better performance in both SVM and ANN than other datasets by gaining values greater than 90%. These data did not perform well in the iron oxide zones detection, while Landsat-8 and Sentinel-2 have been more successful. For iron oxide, based on confusion matrix, Landsat-8 data have obtained the values of 78% and 79% through SVM and ANN algorithms, respectively, and also Sentinel-2 has acquired the values of 88.11% and 90.55% via SVM and ANN, respectively. Therefore, to map iron oxide zones, Sentinel-2 data are more favorable than Landsat-8 data. In addition, the ANN algorithm in ASTER data has represented the highest overall accuracy and Kappa coefficient with the values of 88.73% and 0.8453, respectively.

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        Salicylic Acid Retards Petal Senescence in Cut Lisianthus (Eustoma grandiflorum ‘Miarichi Grand White’) Flowers

        Sara Nikkhah Bahrami,Hedayat Zakizadeh,Yousef Hamidoghli,Mahmood Ghasemnezhad 한국원예학회 2013 Horticulture, Environment, and Biotechnology Vol.54 No.6

        The effect of exogenous salicylic acid (SA) on the vase life of cut lisianthus flowers was investigated. ‘Miarichi Grand White’ flowers were obtained from a commercial grower and were pulse-treated with a 0, 50, 100, 150or 200 mg·L-1 SA solution containing 200 mg·L-1 8-hydroxyquinoline sulphate (HQS) and 5% (w/v) sucrose for 18 hours. As compared to distilled water (DW) as the control, the greatest delay in petals senescence was obtained in cut flowers pulsed with 100 mg·L-1 SA. Vase life of flowers increased by 4.5 days in the above mentioned treatment. The characteristics such as water uptake (WUP), relative fresh weight (RFW), protein concentration, proline accumulation,and activities of lipoxygenase (LOX) and superoxide dismutase (SOD) were measured in the 0 and 100 mg·L-1 SA treatments over the period of vase life. The WUP and RFW were obviously greater in the SA-treated flowers than in the control. Degradation of protein and accumulation of proline during vase life was shown to be suppressed by 100 mg·L-1 SA. The activity of LOX was gradually increased with progressing flower senescence, while the activity of SOD was declined. The flowers which had been pulsed with 100 mg·L-1 SA exhibited lower LOX and a higher SOD activities. Overall, the results suggest that SA can increase the vase life of lisianthus cut flowers by improving the antioxidant system and reducing damages caused by oxidative stress during senescence.

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