remotely sensed imagery is proving to be a useful tool to estimate water depths in coastalzones. bathymetric algorithms attempt to isolate water attenuation and hence depth from other factors byusing different combinations of spectral bands. in this research, images of absolute bathymetry using twodifferent but related methods in a region in the southern caspian sea coasts has been produced. th...

In low-income settings, vaccination campaigns supplement routine immunization but often fail to achieve coverage goals due to uncertainty about target population size and distribution. Accurate, updated estimates of target populations are rare but critical; short-term fluctuations can greatly impact population size and susceptibility. We use satellite imagery to quantify population fluctuations...

Moving Target Indicators (MTI) are systems used to distinguish movement from stationary scenes and sometimes to derive the spatial attributes of these objects. These systems are currently used in many sectors such as traffic studies, border surveillance, and military applications. The proposed MTI reveals vehicles and their velocities using commercial imagery from a passive optical satellite-mo...

Satellite Image segmentation has a most important role to play in the field of remote sensing imaging, for effectively detecting the Surface of the Earth. However more satellite image segmentation techniques are available. This paper work presents an image segmentation based on color feature with unsupervised FCM Algorithm, which yields better results. The entire work is divided into two stages...

The Urban population is growing so fast in India that planning officials are racing to keep up with urban development .Use of geographic information like satellite imagery helps urban planners manage the ever-changing urban environment accurately and efficiently. Roads are one of the most important features to be extracted from Satellite imagery for urban planning. Manual extraction of roads is...

Recent technological advances have made it possible to process and store large amounts of image data. The most impressive example is the accumulation of image data in scientific applications such as satellite imagery. However, in order to realize their full potential, tools for efficient extraction of information and for intelligent search in image data bases need to be developed. The paper des...

Population data provides statistical information that can in turn support decision making processes. It provides essential information regarding many practices such as rescue operations or humanitarian actions, which require the estimation of local population. While traditional approaches are possible, they tend to be time consuming and expensive. Copernicus Earth Observation data (Sentinel 2 s...

Earlier research results have shown some potential of using high resolution satellite data, like QuickBird, for sea floor classification, but the number of bands have been a limiting factor. In this paper we present the results of a preliminary study of the use of WorldView-2 data for benthic cover classification in the Swedish archipelago. WorldView-2 is the first high-resolution 8band multisp...

The 1993 U.S. hantavirus pulmonary syndrome (HPS) outbreak was attributed to environmental conditions and increased rodent populations caused by unusual weather in 1991- 92. In a case-control study to test this hypothesis, we estimated precipitation at 28 HPS and 170 control sites during the springs of 1992 and 1993 and compared it with precipitation during the previous 6 years by using rainfal...

urban expansion model (uem) was adapted to simulate urbanization which implements geospatial information systems (gis), artificial neural networks (anns) and remote sensing (rs). two satellite imageries with specific time interval, socio-economic and environmental variables have been employed in order to simulate urban expansion. socio-economic and environmental variables were used as inputs wh...