The Experts below are selected from a list of 114936 Experts worldwide ranked by ideXlab platform
B. Koch - One of the best experts on this subject based on the ideXlab platform.
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a new gis based Model for automated extraction of sand dune encroachment case study dakhla oases western desert of egypt
The Egyptian Journal of Remote Sensing and Space Science, 2012Co-Authors: Mahdiar Ghadiry, Adel Shalaby, B. KochAbstract:Abstract The movements of the sand dunes are considered as a threat for roads, irrigation networks, water resources, urban areas, agriculture and infrastructures. The main objectives of this study are to develop a new GIS-based Model for automated extraction of sand dune encroachment using remote sensing data and to assess the rate of sand dune movement. To monitor and assess the movements of sand dunes in Dakhla oases area, multi-temporal satellite images and a GIS-developed Model, using Python script in Arc GIS, were used. The satellite images (SPOT images, 1995 and 2007) were geo-rectified using Erdas Imagine. Image subtraction was performed using spatial analyst in Arc GIS, the result of image subtraction obtains the sand dune movement between the two dates. The raster and vector shape of sand dune migration was automatically extracted using spatial analyst tools. The frontiers of individual dunes were measured at different dates and movement rates were analyzed in GIS. The ModelBuilder in Arc GIS was used in order to create a user friendly tool. The custom built Model Window is easy to handle by any user who wishes to adapt the Model in his work. It was found that the rate of sand dune movement ranged between 3 and 9 m per year. The majority of sand dunes have a rate movement between 0 and 6 m and very few dunes had a movement rate between 6 and 9 m. Integrating remote sensing and GIS provided the necessary information for determining the minimum, maximum, mean, rate and area of sand dune migration.
Mahdiar Ghadiry - One of the best experts on this subject based on the ideXlab platform.
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a new gis based Model for automated extraction of sand dune encroachment case study dakhla oases western desert of egypt
The Egyptian Journal of Remote Sensing and Space Science, 2012Co-Authors: Mahdiar Ghadiry, Adel Shalaby, B. KochAbstract:Abstract The movements of the sand dunes are considered as a threat for roads, irrigation networks, water resources, urban areas, agriculture and infrastructures. The main objectives of this study are to develop a new GIS-based Model for automated extraction of sand dune encroachment using remote sensing data and to assess the rate of sand dune movement. To monitor and assess the movements of sand dunes in Dakhla oases area, multi-temporal satellite images and a GIS-developed Model, using Python script in Arc GIS, were used. The satellite images (SPOT images, 1995 and 2007) were geo-rectified using Erdas Imagine. Image subtraction was performed using spatial analyst in Arc GIS, the result of image subtraction obtains the sand dune movement between the two dates. The raster and vector shape of sand dune migration was automatically extracted using spatial analyst tools. The frontiers of individual dunes were measured at different dates and movement rates were analyzed in GIS. The ModelBuilder in Arc GIS was used in order to create a user friendly tool. The custom built Model Window is easy to handle by any user who wishes to adapt the Model in his work. It was found that the rate of sand dune movement ranged between 3 and 9 m per year. The majority of sand dunes have a rate movement between 0 and 6 m and very few dunes had a movement rate between 6 and 9 m. Integrating remote sensing and GIS provided the necessary information for determining the minimum, maximum, mean, rate and area of sand dune migration.
Frank Papenmeier - One of the best experts on this subject based on the ideXlab platform.
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from metacognitive beliefs to strategy selection does fake performance feedback influence cognitive offloading
Psychological Research-psychologische Forschung, 2020Co-Authors: Sandra Grinschgl, Hauke S Meyerhoff, Stephan Schwan, Frank PapenmeierAbstract:The ubiquitous availability of technological aids requires individuals to constantly decide between either externalizing cognitive processes into these aids (i.e. cognitive offloading) or relying on their own internal cognitive resources. With the present research, we investigated the influence of metacognitive beliefs on individuals' offloading behavior in an experimental setup (N = 159). We manipulated participants' metacognitive beliefs about their memory abilities by providing fake performance feedback: below-average feedback, above-average feedback, or no feedback (control-group). We then measured offloading behavior, using a pattern copying task in which participants copied a color pattern from a Model Window into a workspace Window. While solving this task, participants could rely either more on an internal memory strategy or more on an offloading strategy. Fake performance feedback affected the participants' metacognitive evaluations about their memory abilities (below-group < control-group < above-group). Although fake performance feedback did not affect actual offloading behavior, the participants receiving below-average performance feedback reported that they had relied more on an offloading strategy than those participants receiving above-average performance feedback. Furthermore, the participants in the below-group reported lower general memory abilities than the other groups at the end of the experiment. We conclude that while fake performance feedback strongly influenced metacognitive beliefs, this did not transfer into a change of strategy selection, thus not influencing offloading behavior. We propose to consider not only metacognitive beliefs but also metacognitive experiences as potential determinants of cognitive offloading.
S D Handarka - One of the best experts on this subject based on the ideXlab platform.
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laser entrance hole Window burst and pressure deflections at cryogenic temperature
Fusion Science and Technology, 2011Co-Authors: Uce Lairso, Rya Smith, Jeff Guckia, Travis Ayers, S D HandarkaAbstract:AbstractLaser entrance hole (LEH) Windows for hohlraums must have minimal thickness yet must contain low-temperature tamping gas in a reproducible envelope at 52 kPa. Given the high cost of a Window failure, it is important to understand variability in the finished Windows. Polyimide LEH Window pressure deflection profiles were measured at 18 K. The shape and magnitude of pressure deflections of LEH Windows were well described using thin film elastic mechanics. Subsequently, 24 Windows with 3.9-mm apertures were selected from several production lots to measure reproducibility. The Windows were cooled to 18 K, and their leak rates, deflections to 52 kPa, and burst pressures were measured. The mean Window deflection at 18 K was 260 μm, with a standard deviation of 20 μm. Variability in Window deflections was well described by an anisotropic initial strain Model. Window burst pressure was found to obey first-order Weibull statistics. The predicted failure rate for the use conditions was extrapolated to be <0.1%.
Adel Shalaby - One of the best experts on this subject based on the ideXlab platform.
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a new gis based Model for automated extraction of sand dune encroachment case study dakhla oases western desert of egypt
The Egyptian Journal of Remote Sensing and Space Science, 2012Co-Authors: Mahdiar Ghadiry, Adel Shalaby, B. KochAbstract:Abstract The movements of the sand dunes are considered as a threat for roads, irrigation networks, water resources, urban areas, agriculture and infrastructures. The main objectives of this study are to develop a new GIS-based Model for automated extraction of sand dune encroachment using remote sensing data and to assess the rate of sand dune movement. To monitor and assess the movements of sand dunes in Dakhla oases area, multi-temporal satellite images and a GIS-developed Model, using Python script in Arc GIS, were used. The satellite images (SPOT images, 1995 and 2007) were geo-rectified using Erdas Imagine. Image subtraction was performed using spatial analyst in Arc GIS, the result of image subtraction obtains the sand dune movement between the two dates. The raster and vector shape of sand dune migration was automatically extracted using spatial analyst tools. The frontiers of individual dunes were measured at different dates and movement rates were analyzed in GIS. The ModelBuilder in Arc GIS was used in order to create a user friendly tool. The custom built Model Window is easy to handle by any user who wishes to adapt the Model in his work. It was found that the rate of sand dune movement ranged between 3 and 9 m per year. The majority of sand dunes have a rate movement between 0 and 6 m and very few dunes had a movement rate between 6 and 9 m. Integrating remote sensing and GIS provided the necessary information for determining the minimum, maximum, mean, rate and area of sand dune migration.