Remotely sensed data, in the form of digital images captured from spaceborne and airborne platforms, provide a rich analytical and observational source of information about the current status, as well as changes occurring in, on, and around the Earth’s surface. The data products, or simply images processed from these platforms, provide an additional advantage in that geographic areas or regions of interest can be revisited on a regular cycle. This revisit cycle allows geospatial analysts and natural resource managers to explore changing conditions over time. Image Processing and Data Analysis with ERDAS IMAGINE® explains the principles behind the processing of remotely sensed data in a simple, easy to understand, and "how-to" format. Organized as a step-by-step guide with exercises adapted from original research and using publicly available imagery, such as NASA Landsat, ESA Sentinel-2, Orthophotos, and others, this book gives readers the ability to quickly gain the practical experience needed to navigate the ERDAS IMAGINE® software as well as learn certain applications in Esri’s ArcMap ArcGIS for Desktop software and Quantum the GIS (QGIS) open source applications package. It also helps readers to easily move beyond the information presented in this book and tackle more advanced skills. Written by two professors with long experience in remote sensing and image processing, this book is a useful guide and reference for both undergraduate and graduate students, researchers, instructors, managers, and agency professionals who are involved in the study of Earth systems and the environment.

Remotely sensed data, in the form of digital images captured from spaceborne and airborne platforms, provide a rich analytical and observational source of information about the current status, as well as changes occurring in, on, and around the Earth’s surface. The data products, or simply images processed from these platforms, provide an additional advantage in that geographic areas or regions of interest can be revisited on a regular cycle. This revisit cycle allows geospatial analysts and natural resource managers to explore changing conditions over time. Image Processing and Data Analysis with ERDAS IMAGINE® explains the principles behind the processing of remotely sensed data in a simple, easy to understand, and "how-to" format. Organized as a step-by-step guide with exercises adapted from original research and using publicly available imagery, such as NASA Landsat, ESA Sentinel-2, Orthophotos, and others, this book gives readers the ability to quickly gain the practical experience needed to navigate the ERDAS IMAGINE® software as well as learn certain applications in Esri’s ArcMap ArcGIS for Desktop software and Quantum the GIS (QGIS) open source applications package. It also helps readers to easily move beyond the information presented in this book and tackle more advanced skills. Written by two professors with long experience in remote sensing and image processing, this book is a useful guide and reference for both undergraduate and graduate students, researchers, instructors, managers, and agency professionals who are involved in the study of Earth systems and the environment.

Powerful techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This book provides an in-depth introduction to a range of these innovative, avant-garde data-processing techniques. It develops the reader's understanding of each technique and then shows with practical examples how they can be applied to improve the skills of graduate students and researchers in astronomy, electrical engineering, physics, geophysics and medical imaging. What sets this book apart from others on the subject is the complementary blend of theory and practical application. Throughout, it is copiously illustrated with real-world examples from astronomy, electrical engineering, remote sensing and medicine. It also shows how many, more traditional, methods can be enhanced by incorporating the new wavelet and multiscale methods into the processing. For graduate students and researchers already experienced in image processing and data analysis, this book provides an indispensable guide to a wide range of exciting and original data-analysis techniques.

This book highlights the rightful role of citizens as per the constitution of the country for participation in Governance of a smart city using electronic means such as high speed fiber optic networks, the internet, and mobile computing as well as Internet of Things that have the ability to transform the dominant role of citizens and technology in smart cities. These technologies can transform the way in which business is conducted, the interaction of interface with citizens and academic institutions, and improve interactions between business, industry, and city government.

Papers presented at the conference.

This book develops and presents a conceptual model for sustainable-groundwater irrigated agriculture. The model is based on the general principles of the economic theories of cost-benefit relations and behavioral models of resource use. The study has evaluated the advances in tubewell farming and the aquifer potential in arid Balochistan over a period of three decades. It has analyzed the booms and busts of the farming over time taking into consideration the local aquifer limitations and the socio-political considerations and policy framework. Three data sets – farmers, expert officials and satellite images - have been used to aid validation. By observing the most vital parameters, the study has concluded that the local aquifer has been falling at a rate directly proportional to the growth rate of irrigated farming, suggesting the current development process is unsustainable. For instance, the research finds that tubewell bores have reached down to depths where the term “aquifer mining” applies; as a result, irrigation costs have become too high to allow farming to be economically viable. In addition, desertification is steadily encroaching and the cropping pattern being changed from high-value horticulture to subsistence cropping. The study has also set parameters for assessing the willingness of farmers to accept modern, sustainable strategies and interventions.