Downscaling has an important role to play in remote sensing. It allows prediction at a finer
spatial resolution than that of the input imagery, based on either (i) assumptions or prior …

Choices of the spatial and temporal dimensions of ecological investigations define their
scale. In this paper, I identify some of the ways that issues of scale challenge ecologists in …

In geological imaging spectrometry (ie, hyperspectral remote sensing), surface
compositional information (eg, mineralogy and subsequently chemistry) is obtained by …

Recognized and advocated as a powerful tool, the role of remote sensing in identifying,
map**, and monitoring soil salinity and salinization will continue to expand. Remote …

Remote Sensing image analysis is mostly done using only spectral information on a pixel by
pixel basis. Information captured in neighbouring cells, or information about patterns …

Current studies of land cover change and landscape fragmentation rely predominantly on
land cover classifications derived from remotely sensed images. However, limitations of …

Urban sprawl has led to environmental problems and large losses of arable land in China. In
this study, we monitor and model urban sprawl by means of a combination of remote …

The study of the geographical distribution of disease incidence and its relationship to
potential risk factors (referred to here as''geographical epidemiology") has provided, and …

The random function theory forms the basis of geostatistics and allows modelling of the
uncertainty associated with spatial estimation and simulation. Remote sensing involves …

This book is a collection of papers on spatial statistics for remote sensing. The book
emerges from a study day that was organized in 1996 at the International Institute for …