The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Growing urbanization over the past decades has increased energy consumption and vehicle usage across the world, which in turn has contributed to the phenomenon called urban heat island (UHI) effect. The most important variable to characterize UHI is the urban-rural air temperature differential. This study aims, generally, at deriving a correlation between air temperatures measured at ground weather...
In this study, two oil spill events in 2014 in the Arabian Gulf and the Sea of Oman were monitored and tracked using multi-sensor satellite imagery, including MODIS, Landsat-8, and VIIRS. The oil slicks were characterized by dark or bright contrasts relative to surrounding oil-free waters in the RGB images. The oil slicks covered an estimated area of 29 km2 in the northern Arabian Gulf and 40 km2...
The operating temperature of a solar photovoltaic (PV) cell, strongly affected by ambient conditions, is one of the key factors influencing the cell's conversion efficiency. In modelling PV performance, the choice of thermal model is therefore critical with potential impact on simulation results. Most of the traditional main market areas of PV systems are located in regions with a temperate climate...
The United Arab Emirates (UAE) lies on the eastern coast of the Arabian Peninsula where desert occupies 80 percent of its land making it a major source of dust aerosols throughout the year. In this paper, a neural-network-based model was developed to estimate AERONET Aerosol Optical Thickness (AOT) over desert as dust indicator from SEVIRI sensor onboard of Meteosat satellite. The developed model...
A method for change detection between two hyperspectral datasets is presented. The iteratively reweighted multivariate alteration detection (IR-MAD) method is used for change detection. The strong changes are first eliminated based on the principal component analysis (PCA) of the difference image and IR-MAD is applied on the datasets after feature reduction with the PCA of the original bands. The...
An adaptation of the previously published iteratively reweighted multivariate alteration detection (IR-MAD) method is presented in this article in the context of hyperspectral change detection. The fact that IR-MAD transformation is invariant to linear transformations is exploited in this work. First, some change pixels are eliminated based on the principal component analysis (PCA) of the difference...
We investigate the performance of two advanced neural network architectures proposed earlier for hyperspectral data classification. While the first architecture uses feature reduction based on the samples of the classes, the second architecture uses a completely unsupervised approach for feature reduction using auto-associative neural networks. The aim of this study is to identify the pros and cons...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.