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Quantitative Remote Sensing in Thermal Infrared: Theory and Applications (Springer Remote Sensing/Photogrammetry)

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Remote sensing, by definition, is the acquisition of information about objects or events without making physical contact. In the broad usage, remote sensing refers to the use of both the force fields (such as gravity and magnetism) and electromagnetic spectrum to detect, classify, and identify the objects or events. In the restricted usage, the term remote sensing generally refers to the use of electromagnetic spectrum to acquire information about the earth’s surface (land and ocean) and atmosphere using sensors onboard airborne (aircraft, balloons) or spaceborne (satellites, space shuttles) platforms. Remote sensing in its restricted usage is recognized as the only viable means to acquire regional- and mesoscale information of the earth surface and atmosphere in a globally consistent and economically feasible manner. According to the spectral response range of sensors, earth observation by remote sensing can be roughly classified to visible and near-infrared remote sensing (VNIR), thermal infrared (TIR) remote sensing, and microwave remote sensing. Given the broad scope of remote sensing, this book is limited to deal with the TIR remote sensing.

As TIR sensors onboard the spaceborne platforms only measure spectral radiances at the top of the atmosphere, these measured radiances are influenced not only by the surface parameters (emissivity and temperature) but also by the composition and thermal structure of atmosphere along the path between the surface and the sensors. Theoretically, only two surface parameters (land surface emissivity and land surface temperature) can be directly retrieved from TIR data; other surface parameters or variables such as soil moisture and land surface evapotranspiration may be indirectly deduced.
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Real World Java EE Patterns Rethinking Best Practices
Real World Java EE Patterns Rethinking Best Practices

This pragmatic book offers the real world knowledge you need to develop lean and maintainable Java EE 5 / 6 applications. Real World Java EE Patterns - Rethinking Best Practices guides you to efficient patterns and best practices in a structured way, with code from real world projects. This book includes coverage of: An introduction into the...

Security+ Guide to Network Security Fundamentals
Security+ Guide to Network Security Fundamentals

Reflecting the latest developments from the information security field, best-selling Security+ Guide to Network Security Fundamentals, 4e provides the most current coverage available while thoroughly preparing readers for the CompTIA Security+ SY0-301 certification exam. Its comprehensive introduction to practical network and computer...

Internet Marketing with WordPress
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It's very difficult to overstate the importance of Internet marketing.

With the advent of powerful and effective tools (like WordPress) that make it easy for anyone in the world to put up a website, it is now more important than ever to carve out a niche for yourself.

The online world requires its
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Easy Microsoft Excel 2010
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Welcome to the world of Excel. Okay, that’s a bit cheesy. But if you look around the business world, the fi nancial world, the manufacturing world, and any other industry you can of, you will see people using Excel. Excel is everywhere. It is by far the most used program in the history of business applications. So...

Security Assessment: Case Studies for Implementing the NSA IAM
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The National Security Agency's INFOSEC Assessment Methodology (IAM) provides guidelines for performing an analysis of how information is handled within an organization: looking at the systems that store, transfer, and process information. It also analyzes the impact to an organization if there is a loss of integrity, confidentiality, or...
Probability and Random Processes: With Applications to Signal Processing and Communications
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"...very well written...very recommendable for students, researchers as well as practitioners interested in signal processing and communications."
- Stefan Reh, Carnegie Mellon University

"...it is well written, providing the intended readership with tools and methods to study and solve problems concerning random
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