Near Space Remote Sensing
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Near-Space Remote Sensing
Author: Wen-Qin Wang
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-08-03
Near-space is defined as the atmospheric region from about 20 kilometer (km) altitude to 100 km altitude above the Earth’s surface. It has received much attention in recent years and several types of near-space vehicles are currently being studied, developed, or employed. “Near-Space Remote Sensing: Potential and Challenges” concentrates mainly on the role of near-space vehicles in bridging the gap between satellites and airplanes for microwave remote sensing applications, providing a top-level system description and aiming to encourage further research. Further, this book also describes several potential applications such as passive surveillance, reconnaissance, and high resolution wide swath remote imaging. The book is intended for geographers, transportation engineers and other researchers involved in remote sensing development and applications, in particular for near-space vehicles. Wen-Qin Wang is an assistant professor at the School of Communication and Information Engineering, University of Electronic Science and Technology of China.
Earth Science Satellite Remote Sensing
Author: John J. Qu
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-04-29
This book provides information on the Earth science remote sensing data information and data format such as HDF-EOS. It evaluates the current data processing approaches and introduces data searching and ordering from different public domains. It further explores the remote sensing and GIS migration products and WebGIS applications. Both volumes are designed to give an introduction to current and future NASA, NOAA and other Earth science remote sensing.
Urban Informatics
This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.