Land cover classification of Landsat images is one of the most important applications
developed from Earth observation satellites. The last four decades were marked by different …

The appetite for up-to-date information about earth's surface is ever increasing, as such
information provides a base for a large number of applications, including local, regional and …

Remote sensing technology has penetrated all the natural resource segments as it provides
precise information in an image mode. Remote sensing satellites are currently the fastest …

Noise is always presents in digital images during image acquisition, coding, transmission,
and processing steps. Noise is very difficult to remove it from the digital images without the …

Coronary artery disease (CAD) is a prevalent disease with high morbidity and mortality
rates. Invasive coronary angiography is the reference standard for diagnosing CAD but is …

The monitoring of burned areas can easily be performed using satellite multispectral
images: several indices are available in the literature for highlighting the differences …

Fundamentals of Satellite Remote Sensing: An Environmental Approach, Third Edition, is a
definitive guide to remote sensing systems that focuses on satellite-based remote sensing …

Prediction of a random field based on observations of the random field at some set of
locations arises in mining, hydrology, atmospheric sciences, and geography. Kriging, a …

Summary 16S rRNA-targeted oligonucleotide probes for eubacteria (EUB338), ammonium-
oxidizing bacteria (Nsm156) and nitrite-oxidizing bacteria (Nb1000) were used for the rapid …

A variety of procedures for change detection based on comparison of multitemporal digital
remote sensing data have been developed. An evaluation of results indicates that various …