geothermal energy serves as a renewable and clean energy. thanks to its great advantages such as relatively harmless, low costs and environmental friendly, it may be a good substitute for fossil fuels. in the present study, a geothermal survey is conducted in an area prone geothermal ferdows of south khorasan province in eastern iran using etm+ data landsat 7 geo-referenced to topography map in...

Animal movement patterns in space and time are a central aspect of animal ecology. Remotely-sensed environmental indices can play a key role in understanding movement patterns by providing contiguous, relatively fine-scale data that link animal movements to their environment. Still, implementation of newly available remotely-sensed data is often delayed in studies of animal movement, calling fo...

Remotely sensed data is the most important data source for environmental change study over the past 40 years. Since large collections of remote sensing imagery have been acquired in a time frame of successive years, it is now possible to study long-term spatio-temporal pattern of environmental change and impacts of human activities. This study seeks an efficient and practical methodology for la...

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...

Change Detection using multi-temporal satellite images of same area is an established as well as actively pursued research problem. Most of the change detection techniques use algebraic or transform methods to do a pixel by pixel comparison of change detection. These techniques heavily depend upon the correct choice of threshold value to segregate the real changed pixels from the apparent chang...

Land cover is a critical variable in epidemiology and can be characterized remotely. A framework is used to describe both the links between land cover and radiation recorded in a remotely sensed image, and the links between land cover and the disease carried by vectors. The framework is then used to explore the issues involved when moving from remotely sensed imagery to land cover and then to v...

The general image segmentation approach used in other domains may not be applicable to the remote sensing field, which is due to the following factors: remotely sensed data is multi-spectral, always very large in size, and in multi-scale as well. How to quickly and efficiently segment remotely sensed imagery is still a big issue to be solved. Based on human vision mechanism, a new hybrid multi-...