Land surface fluxes have been estimated from remotely sensed data at high pixel resolutions (approximately 60 m) with reasonable accuracy when compared to ground measurements (French et al., 2003; Kustas and Norman, 1999). The remote sensing input used to model land surface fluxes may consist of land surface temperature and a vegetation index. Remotely sensed land surface temperature estimates ...

Introduction: In a continuing study of mare basalts and factors affecting their composition, volume, and eruption duration (e.g., incorporation of K-U-Th), we examine the compositions of mare basalts and nonmare units on the floor of Australe Basin. This pre-Nectarian basin is located on the southeastern limb of the Moon (52°S, 95°E) [1], far removed from Th-enriched proximal and possible antip...

The construction of geometric scene models from sensed data is a fundamental task in image understanding. The creation of such models is essential in computer vision systems for applications ranging from reconnaissance to robot navigation. Automated model construction using visual techniques can also provide important support for systems in manufacturing and simulation. Vision-based geometric m...

Virtually all remotely sensed data contain spatial autocorrelation, which impacts upon their statistical features of uncertainty through variance inflation, and the compounding of duplicate information. Estimating the nature and degree of this spatial autocorrelation, which is usually positive and very strong, has been hindered by computational intensity associated with the massive number of pi...

People-centric sensing with smart phones can be used for large scale sensing of the physical world at low cost by leveraging the available sensors on the phones. However, the sensed data submitted by participants is not always reliable as they can submit false data to earn money without executing the actual task at the desired location. To address this problem, the authors propose ILR, a scheme...

Thermal infrared satellite sensor images are widely used for assessing the thermal urban environment as well as for identifying the Urban Heat Islands (UHI) in highly urbanized areas. In this study, the relationship between urban growth and UHI in the megacity of Istanbul was investigated using the Landsat 5 TM satellite sensor data and temperature recordings obtained from the meteorological st...

We propose to optimize the use of new computer power, observational data systems, and telecommunication capabilities to extract and utilize remote sensed data available from a variety of means. This optimization is crucial in the sense that extracted both meteorological and surface characteristics datasets will be crucial for the use in an emergency response system. We will combine real-time re...

Few would question the need to archive the scientific and technical (S&T) data generated by researchers. At a minimum, the data are needed for change analysis. Likewise, most people would value efforts to ensure the preservation of the archived S&T data. Future generations will use analysis techniques not even considered today. Until recently, archiving and preserving these data were usually ac...

Vegetation is one of the most important components of the ecosystems. Knowledge about variations in vegetation species and community distribution patterns, alternations in vegetation phonological (growth) cycles, and modifications in plant physiology and morphology provide a valuable insight in to the climate, geologic and physiographic, characteristics of an area, so mapping vegetation cover i...