The combination of remote imagery data, geographic information systems soft
ware, and landscape ecology theory provides a unique basis for monitoring a
nd assessing large-scale ecological systems. The unique feature of the work
has been the need to develop and interpret quantitative measures of spatia
l pattern-the landscape indices. This article reviews what is known about t
he statistical properties of these pattern metrics and suggests some additi
onal metrics based on island biogeography, percolation theory, hierarchy th
eory, and economic geography. Assessment applications of this approach have
required interpreting the pattern metrics in terms of specific environment
al endpoints, such as wildlife and water quality, and research into how to
represent synergystic effects of many overlapping sources of stress.