18 research outputs found
Exploitation of Landsat data for snow zonation mapping in the Hindukush, Karakoram and Himalaya (HKH) region of Pakistan
No full textCharacteristics of snow cover in the Hindukush, Karakoram and Himalaya region using Landsat satellite data
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Evaluating the Performance of MODIS and MERRA-2 AOD Retrievals Using AERONET Observations in the Dust Belt Region
No full textAerosols from natural and anthropogenic sources exert significant yet highly variable influences on the Earth’s radiative balance characterized by pronounced spatial and temporal heterogeneity. Accurate quantification of these effects is crucial for enhancing climate projections and informing effective mitigation strategies. In this study, we evaluated the performance of three widely used aerosol optical depth (AOD) datasets—MERRA-2 (Modern-Era Retrospective analysis for Research and Applications, Version 2), MODIS Aqua, and MODIS Terra—by comparing them against ground-based AERONET observations from ten stations located within the dust belt region. Statistical assessments included coefficient of determination (R2), correlation coefficient (R), Index of Agreement (IOA), Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Relative Mean Bias (RMB), and standard deviation (SD). The results indicate that MERRA-2 showed the highest agreement (R = 0.76), followed by MODIS Aqua (R = 0.75) and MODIS Terra (R = 0.73). Seasonal and annual AOD climatology maps revealed comparable spatial patterns across datasets, although MODIS Terra consistently reported slightly higher AOD values. These findings provide a robust assessment and reanalysis of satellite AOD products over arid regions, offering critical guidance for aerosol modeling, data assimilation, and climate impact studies
Intelligent control of industrial robotic three degree of freedom crane using Artificial Neural Network
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Design and Development of Experimental Hardware in Loop Model for the Study of Vibration Induced in Tall Structure with Active Control
No full textDesign and development of experimental hardware in loop model for the study of vibration induced in tall structure with active control
No full textBackground/Objectives: This paper focuses on the active control of vibration in tall structure prone to high winds and earthquakes using the active mass dampers. Methods/Statistical Analysis: The prototype model was fabricated to measure the response of external forces and control methods have been implemented to minimize the damping. Modeling of servomotor and tall structure was studied theoretically and experimentally in view of controlling the angular velocity and position of the servomotor while displacement for the tall structure. Findings: PID controller was implemented on the structure for effective damping of the vibration which was easy in computation and cost effective. Application/ Improvements: The proposed study is very useful for practical implementations in small scale industries
