Keeping abreast of these new developments, Classification Methods for Remotely Sensed Data, Second Edition, provides a comprehensive and up-to-date review of the entire field of classification methods applied to remotely sensed data.
The use of remote sensors for human settlement mapping and monitoring holds great promise for numerous fields of study, including urban planning and global environmental change and sustainability. While the potential for this technology is difficult to measure, achieving useful results at a regional or global level is but a recent accomplishment.
Describing and evaluating the basic principles and methods of subsurface sensing and imaging, Introduction to Subsurface Imaging is a clear and comprehensive treatment that links theory to a wide range of real-world applications in medicine, biology, security and geophysical/environmental exploration.
A volume in the three-volume Remote Sensing Handbook series, Land Resources Monitoring, Modeling, and Mapping with Remote Sensing documents the scientific and methodological advances that have taken place during the last 50 years.
Geospatial information modeling and mapping has become an important tool for the investigation and management of natural resources at the landscape scale. Spatial Statistics: GeoSpatial Information Modeling and Thematic Mapping reviews the types and applications of geospatial information data, such as remote sensing, geographic information systems (GIS), and GPS as well as their integration into landscape-scale geospatial statistical models and maps.