A framework for selecting appropriate remotely sensed data dimensions for environmental monitoring and management

Abstract

Two major factors are likely to impact the utilisation of remotely sensed data in the near future: (1) an increase in the number and availability of commercial and non-commercial image data sets with a range of spatial, spectral and temporal dimensions, and (2) increased access to image display and analysis software through GIS. A framework was developed to provide an objective approach to selecting remotely sensed data sets for specific environmental monitoring problems. Preliminary applications of the framework have provided successful approaches for monitoring disturbed and restored wetlands in southern California.