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...
Remote sensing and geographical information science (GIS) have advanced considerably in recent years. However, the potential of remote sensing and GIS...
Characterising spatial and temporal variation in environmental properties, generatingmapsfromsparse samples, and quantifyinguncertaintiesin the maps, are key concerns across the environmental sciences. The body of tools known as g- statistics offers a powerful means of addressing these and related questions. This volume presents recent research in methodological developments in geostatistics and in a variety of speci?c environmental application areas including soil science, climatology, pollution, health, wildlife mapping, ?sheries and remote sensing, amongst others. This book contains...
Characterising spatial and temporal variation in environmental properties, generatingmapsfromsparse samples, and quantifyinguncertaintiesin the maps, ...