DEFINITION Georegistration is the alignment of an unreferenced image with a geodetically (latitude, longitude, and elevation based) calibrated reference image [1]. In general, this process aligns two images (satellite is the most common, but is not limited to satellite images) and correlating the images to a physical location by examining a set of distinguishable points. Figure 1 shows an examp...

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...

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...

The existence of uncertainty in classified remotely sensed data necessitates the application of enhanced techniques for identifying and visualizing the various degrees of uncertainty. This paper, therefore, applies the multidimensional graphical data analysis technique of parallel coordinate plots (PCP) to visualize the uncertainty in Landsat Thematic Mapper (TM) data classified by the Maximum ...

The international scientific context is pointing out the role that can be played by models and observation systems for the evaluation and forecasting of the risks related to environmental problems. In this context, coupling data and models becomes a scientific challenge regarding the following considerations: A numerical model without observation data is not really interesting; On the other han...

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...

Land use mapping is one of the major applications of remote sensing. While most studies focus on the advanced remote sensing thematic classification algorithms for land use mapping, the scale factor in remote sensing data classification was less recognized. Previous studies showed that while the multi-scale characteristics exist in the remotely sensed data for land use classification, some clas...