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Models and observations show that the Arctic is experiencing the most rapid changes in global near-surface air temperature. We developed novel EASE-grid Level 3 (L3) land surface temperature (LST) products from Level 2 (L2) AATSR and MODIS data to provide weekly, monthly and annual LST means over the pan-Arctic region at various grid resolutions (1–25 km)(More)
This article discusses Bayesian and non-Bayesian estimation problem of the unknown parameter for the inverse Rayleigh distribution based on lower record values. Maximum likelihood estimator of the unknown parameters were obtained. Also, Bayes estimator have been developed under squared error and zero one loss functions. These estimators are derived using(More)
We propose a new MAP-based technique for the unsuper-vised segmentation of different brain structures (white matter, gray matter , etc.) from T1-weighted MR brain images. In this paper, we follow a procedure like most conventional approaches, in which T1-weighted MR brain images and desired maps of regions (white matter, gray matter , etc.) are modeled by a(More)
Thermal remote sensing of soil moisture in vineyards is a challenge. The grass-covered soil, in addition to a standing grape canopy, create complex patterns of heating and cooling and increase the surface temperature variability between vine rows. In this study, we evaluate the strength of relationships between soil moisture, mechanical resistance and(More)
Recent studies on human mobility show that human movements are not random and tend to be clustered. In this connection, the movements of Twitter users captured by geo-located tweets were found to follow similar patterns, where a few geographic locations dominate the tweeting activity of individual users. However, little is known about the semantics (landuse(More)
Existing urban boundaries are usually defined by government agencies for administrative, economic, and political purposes. However, it is not clear whether the boundaries truly reflect human interactions with urban space in intra-and interregional activities. Defining urban boundaries that consider socioeconomic relationships and citizen commute patterns is(More)
Previous studies have shown that Twitter users have biases to tweet from certain locations (locational bias) and during certain hours (temporal bias). We used three years of geo-located Twitter Data to quantify these biases and test our central hypothesis that Twitter users' biases are consistent across US cities. Our results suggest that temporal and(More)
Everyday massive amounts of geo-tagged information are generated around urban environment using micro-blogging services and content sharing platforms. These new Big Geospatial Data sources provide an opportunity to understand people activities and their interaction with the urban environment. In this regard, it is crucial to integrate geo-tagged micro-data(More)
Knowledge about the freeze/thaw state of the surface is of major importance for climate modelling, hydrology and numerous other applications. In this study, a freeze/thaw state detection algorithm using the ASCAT scatterometer is compared to Land Surface Temperature (LST) from MODIS as well as to a product derived from ENVISAT ASAR data. Good agreement with(More)
Detecting salinity in early stages using electromagnetic survey and multivariate geostatistical techniques, Acknowledgments After crossing all the technical and personal obstacles to reach this point. I would like to thank those who helped me during the last one and half year here in The Netherlands. Before all I would like to thank GOD for helping me by a(More)