Fuzzy methods in remote sensing have received growing interest for their particular value in situations where the geographical phenomena are inherently fuzzy. A fuzzy approach is investigated for the classi® cation of sub-urban land cover from remote sensing imagery and the evaluation of classi® cation accuracy. Under the fuzzy strategy, fuzziness, intrinsic to both remotely sensed data and gro...

Mobile cyber-physical systems entail large volumes of data collected by various sensors and cameras embedded in vehicles and mobile devices. Participatory sensing is a model widely encouraged by cyber-physical systems (CPS) to provide a smart knowledge base to consumers using various sensed data contributed by voluntary participants. Aggregation is a viable approach to convert the sensed data i...

Remotely sensed data and the instruments that acquire them are core parts of Earth and planetary observation systems. They are used to quantify the Earth’s interconnected systems, and remote sensing is the only way to get a daily, or more frequent, snapshot of the status of the Earth. It really is the Earth’s stethoscope. In a similar manner remote sensing is the rock hammer of the planetary sc...

During 1971 and 1972 a detailed study was conducted on a fallow field in the proposed Oahe Irrigation Project to determine the relationship between the tonal variation observed on aerial photographs and the properties of eroded soil. Correlation and regression analysis of digitized, multiemulsion, color infrared film (2443) data and detailed field data revealed a highly significant correlation ...

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We are surrounding by sensor networks such as healthcare, home or environmental monitoring, weather forecasting, etc. All sensor-based applications proposed are domain-specific. We aim to link these heterogeneous sensor networks to propose promising applications. Existing applications add semantics to the sensor n etworks, more specifically, to the context, rather than to the sensed data. We pr...

the most widespread method to determine temporal and spatial variations of lai in a regional scale is empirical relationships based on the normalized difference of reflectance bands of satellite data. this study was done to evaluate the equations of remotely sensed lai estimation and optimize their parameters. therefore, lai was measured in the field for summer growing season in irrigated field...

R sensed data have been employed for the characterization of ecologically important variables from local through global contexts. These data may be used to generate a wide range of estimates that are valuable to ecologists, including information on land cover, vegetation cover, habitat, forest structure, and forest function (Kerr and Ostrovsky 2003), and to track changes in these variables. Rec...

We describe a remote sensing and GIS-based study that has three objectives: (1) characterize fine particulate matter (PM2.5), insolation and land surface temperature using NASA satellite observations, EPA ground-level monitor data and North American Land Data Assimilation System (NLDAS) data products on a national scale; (2) link these data with public health data from the REasons for Geographi...