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About The Book
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Recently growing interest in the use of remote sensing imagery has appeared to provide synoptic maps of water quality parameters in coastal and inner water ecosystems; monitoring of complex land ecosystems for biodiversity conservation; precision agriculture for the management of soils crops and pests; urban planning; disaster monitoring etc. However for these maps to achieve their full potential it is important to engage in periodic monitoring and analysis of multi-temporal changes. In this context very high resolution (VHR) satellite-based optical infrared and radar imaging instruments provide reliable information to implement spatially-based conservation actions. Moreover they enable observations of parameters of our environment at greater broader spatial and finer temporal scales than those allowed through field observation alone. In this sense recent very high resolution satellite technologies and image processing algorithms present the opportunity to develop quantitative techniques that have the potential to improve upon traditional techniques in terms of cost mapping fidelity and objectivity. Typical applications include multi-temporal classification recognition and tracking of specific patterns multisensor data fusion analysis of land/marine ecosystem processes and environment monitoring etc. This book aims to collect new developments methodologies and applications of very high resolution satellite data for remote sensing. The works selected provide to the research community the most recent advances on all aspects of VHR satellite remote sensing.