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This third edition of the bestselling Remote Sensing for Geologists: A Guide to Image Interpretation is now titled Remote Sensing for Geoscientists: Image Analysis and Integration. The title change reflects that this edition applies to a broad spectrum of geosciences, not just geology; stresses that remote sensing has become more...
"Understanding GIS: An ArcGIS Project Workbook "explains the methods and tools needed to apply GIS analysis to a spatial problem by finding the best location for a new park along the Los Angeles River in Southern California. Through this process, readers develop critical-thinking and problem-solving skills and learn to use...
GIS to Support Cost-effective Decisions on Renewable Sources: Applications for low temperature geothermal energy
This book addresses the use of Geographic Information Systems to help evaluate cost-effectiveness of renewable resource exploitation. Offers a process to adapt geographic data for analysis and decision-making in the economic exploitation of geothermal energy.
Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory RSSIPL at the University of Maryland, Baltimore County.
This book details the processes needed to take raw Ground Penetrating Radar GPR data all the way to the construction of subsurface images. It introduces advanced imaging solutions and shows numerous worldwide site case histories.
The definitive text on spatial statistics, from two key figures in the field. A systematic overview of everything an upper level student or researcher needs to know about spatial statistical and geostatistical methods.
This book describes the existence and the scope of archived historical aerial and satellite photographs, and their value to archaeological and landscape research. Offers examples of their use, and advice on how to access and utilise this massive resource.
By Matt Duckham
This book covers the foundational concepts, structures and design techniques for decentralized computing with spatial and spatiotemporal information, applying these through a suite of increasingly sophisticated algorithms, and describing their application.
This book introduces the scope and method of remote sensing within the context of environmental analysis and assessment. It presents the cutting-edge techniques and innovative applications in a manner that is accessible to the non-technical professional.