Spatial Modelling of the Terrestrial Environment - Tapa dura

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Richard E. J. Kelly is the editor of Spatial Modelling of the Terrestrial Environment, published by Wiley.

Nicholas A. Drake is the editor of Spatial Modelling of the Terrestrial Environment, published by Wiley.

Stuart L. Barr is the editor of Spatial Modelling of the Terrestrial Environment, published by Wiley.

De la contraportada

Understanding and predicting the behaviour of natural and human environmental systems is crucial for the effective management of the Earth’s limited resources. Recently, great advances have been made through spatial modelling. This book provides a snapshot of the latest research in modelling technologies and methodologies within five environmental fields; the cryosphere, hydrology, geomorphology, vegetation interfaces and urban environments.

Spatial Modelling of the Terrestrial Environment deals with the use of remote sensing, numerical models and GIS in addressing important natural and human environmental sciences issues, focusing on the theory and application of modelling remotely sensed data within the context of environmental processes. Extensive case material exemplifies the latest research and modelling paradigms presented in the book.

• Addresses important research themes through a series of applications.
• Presents a range of spatial modelling examples and demonstrates how they can be used to inform and enhance our understanding or the terrestrial environment.
• Uses a range of tools, such as remote sensing instruments, geographical information systems and numerical simulation methods.
• Each section is prefaced with an introduction to key research practices, ensuring the accessibility of all topics.

This book is essential for postgraduate and academic researchers in remote sensing, GIS, physical geography, environmental science, geology and urban geography. Professionals working with remotely-sensed data and GIS in the context of environmental modelling would find this book an essential reference-source. In addition, it will make valuable reading for upper-level undergraduates taking modules in remote sensing and spatial modelling within departments of geography, environmental science and geology.