Giles M. Foody – författare

Remote sensing and geographical information science (GIS) have advanced considerably in recent years. However, the potential of remote sensing and GIS within the environmental sciences is limited by uncertainty, especially in connection with the data sets and methods used. In many studies, the issue of uncertainty has been incompletely addressed. The situation has arisen in part from a lack of appreciation of uncertainty and the problems it can cause as well as of the techniques that may be used to accommodate it.This book provides general overviews on uncertainty in remote sensing and GIS that illustrate the range of uncertainties that may occur, in addition to describing the means of measuring uncertainty and the impacts of uncertainty on analyses and interpretations made.Uncertainty in Remote Sensing and GIS provides readers with comprehensive coverage of this largely undocumented subject:* Relevant to a broad variety of disciplines including geography, environmental science, electrical engineering and statistics* Covers range of material from base overviews to specific applications* Focuses on issues connected with uncertainty at various points along typical data analysis chains used in remote sensing and GISWritten by an international team of researchers drawn from a variety of disciplines, Uncertainty in Remote Sensing and GIS provides focussed discussions on topics of considerable importance to a broad research and user community. The book is invaluable reading for researchers, advanced students and practitioners who want to understand the nature of uncertainty in remote sensing and GIS, its limitations and methods of accommodating it.

Remote sensing and geographical information science (GIS) have advanced considerably in recent years. However, the potential of remote sensing and GIS within the environmental sciences is limited by uncertainty, especially in connection with the data sets and methods used. In many studies, the issue of uncertainty has been incompletely addressed. The situation has arisen in part from a lack of appreciation of uncertainty and the problems it can cause as well as of the techniques that may be used to accommodate it. This book provides general overviews on uncertainty in remote sensing and GIS that illustrate the range of uncertainties that may occur, in addition to describing the means of measuring uncertainty and the impacts of uncertainty on analyses and interpretations made. Uncertainty in Remote Sensing and GIS provides readers with comprehensive coverage of this largely undocumented subject: * Relevant to a broad variety of disciplines including geography, environmental science, electrical engineering and statistics * Covers range of material from base overviews to specific applications * Focuses on issues connected with uncertainty at various points along typical data analysis chains used in remote sensing and GIS Written by an international team of researchers drawn from a variety of disciplines, Uncertainty in Remote Sensing and GIS provides focussed discussions on topics of considerable importance to a broad research and user community. The book is invaluable reading for researchers, advanced students and practitioners who want to understand the nature of uncertainty in remote sensing and GIS, its limitations and methods of accommodating it.

Environmental Remote Sensing from Regional to Global Scales Editedby Giles Foody University College, Swansea, UK & Paul CurranUniversity of Southampton, UK Remote sensing by satellites providesscientists with powerful means of analysing the terrestrialenvironment in fields as diverse as meteorology, agriculture, townplanning or ecology. Allied to the powerful computer-basedmethodologies of Geographic Information Systems and imageprocessing and cartographic techniques, perhaps its most importantaspect is the way Environmental Remote Sensing (ERS) can allowsynoptic interpretation of complex geographical phenomena fromglobal to local scales. This book provides a benchmark collectionof papers to demonstrate the flexibility and power of ERStechniques in a variety of contexts and scales. To achieve thisend, a group of leading specialists have been invited to contributesurveys of the field. A high level of technical expertise is notrequired, making the book accessible to the research scientist, orstudent or professional wishing to assess the application of thesetechniques to his/her own field of study.

While remote sensing gives a surface depiction of the world, its recent convergence with GIS enables richer depictions that can be used to simulate physical processes, identify trends, and make more accurate predictions.GeoDynamics is based on specialized lectures from an international field of experts, addressing remote sensing, spatially distributed modeling of land surface processes, and urban dynamics as part of the GeoComputation conference. It focuses on this symbiotic relationship in a detailed discussion of both remote sensing and spatially distributed dynamic modeling.The book analyzes recent developments in assembling geographical information such as: the ubiquitous deployment of portable measurement devices enabled with global positioning technology and its impact on the field; the management, benefits, and challenges of modeling dynamic processes in three dimensions; the implications of temporal granularity of simulations to predictions; and the appropriate representation of human factors in GIS. It illustrates the importance of incorporating interdisciplinary sciences to hone GIS capabilities, the advantage of sharing data and representations, and effective communication through visualization. This book establishes how these integrated technologies have become a central part of building spatial representations.GeoDynamics is a lasting record of this groundbreaking conference and a valuable contribution to the growing literature on GeoDynamics for academics and practitioners alike.

While remote sensing gives a surface depiction of the world, its recent convergence with GIS enables richer depictions that can be used to simulate physical processes, identify trends, and make more accurate predictions.GeoDynamics is based on specialized lectures from an international field of experts, addressing remote sensing, spatially

'A magnificent achievement. A who's who of contemporary remote sensing have produced an engaging, wide-ranging and scholarly review of the field in just one volume' - Professor Paul Curran, Vice-Chancellor, Bournemouth University

Remote Sensing acquires and interprets small or large-scale data about the Earth from a distance. Using a wide range of spatial, spectral, temporal, and radiometric scales Remote Sensing is a large and diverse field for which this Handbook will be the key research reference.

Organized in four key sections:

• Interactions of Electromagnetic Radiation with the Terrestrial Environment: chapters on Visible, Near-IR and Shortwave IR; Middle IR (3-5 micrometers); Thermal IR ; Microwave

• Digital sensors and Image Characteristics: chapters on Sensor Technology; Coarse Spatial Resolution Optical Sensors ; Medium Spatial Resolution Optical Sensors; Fine Spatial Resolution Optical Sensors; Video Imaging and Multispectral Digital Photography; Hyperspectral Sensors; Radar and Passive Microwave Sensors; Lidar

• Remote Sensing Analysis - Design and Implementation: chapters on Image Pre-Processing; Ground Data Collection; Integration with GIS; Quantitative Models in Remote Sensing; Validation and accuracy assessment;

• Remote Sensing Analysis - Applications: LITHOSPHERIC SCIENCES: chapters on Topography; Geology; Soils; PLANT SCIENCES: Vegetation; Agriculture; HYDROSPHERIC and CRYSOPHERIC SCIENCES: Hydrosphere: Fresh and Ocean Water; Cryosphere; GLOBAL CHANGE AND HUMAN ENVIRONMENTS: Earth Systems; Human Environments & Links to the Social Sciences; Real Time Monitoring Systems and Disaster Management; Land Cover Change

Illustrated throughout, an essential resource for the analysis of remotely sensed data, the SAGE Handbook of Remote Sensing provides researchers with a definitive statement of the core concepts and methodologies in the discipline.

While remote sensing gives a surface depiction of the world, its recent convergence with GIS enables richer depictions that can be used to simulate physical processes, identify trends, and make more accurate predictions.GeoDynamics is based on specialized lectures from an international field of experts, addressing remote sensing, spatially