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Present study investigated mapping and monitoring urban land areas from Landsat8 satellite data using remotely sensed indices. The normalized difference built-up index (NDBI), Enhanced Built-Up and Bareness Index (EBBI), Index-based built-up index (IBI), urban index (UI), normalized difference bareness index (NDBaI) were used to extract the built-up area. The NDBI was more effective at discriminating built-up areas and at increasing accuracy (overall accuracy of 76.45 % and kappa accuracy of 57 %) of the built-up density percentage than other remotely sensed indices. Evidence on built-up area change geographically would permit urban planner and decision makers to comprehend and appraise urban growth pattern in regards to land cover dynamics.

In this paper, we present JADE, a framework that allows a developer to mix C and JavaScript constructs with JADE supplied keywords to construct a complete program to solve a particular computing activity in a 'thing'. We describe the language constructs introduced by JADE and explain how they can be used to implement different software interaction patterns among the thing, web, and cloud. We perform an evaluation of the JADE framework over Intel Galileo and cloud. The results from the experiments are described in the paper.

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