USC Research Bank (University of the Sunshine Coast) · 1991 · 88 citations · 0 references
Open access
Social SciencesGeographyGeoinformaticsGeographic Information ScienceRemote SensingSpatial AnalysisGeographic Information Systems AnalysisMultiscale Spatial AnalysisRemote Sensing Image AnalysisSpatial Data ModelsData ProcessingGeographic Information System (Gis) AnalysisGeographic Information Systems (Gis)Remote Sensing Data AnalysisRemote Sensing For Environmental AssessmentScale Dependence AnalysisSpatial Autocorrelation FunctionsSpatial Scale Dependence
This paper discusses some basic scientific issues and research needs in the joint processing of remotely sensed and GIS data for environmental analysis. Two general topics are treated in detail: (1) scale dependence of geographic data and the analysis of multiscale remotely sensed and GIS data, and (2) data transformations and information flow during data processing. The discussion of scale dependence focuses on the theory and applications of spatial autocorrelation, geostatistics, and fractals for characterizing and modeling spatial variation. Data transformations during processing are described within the larger framework of geographical analysis, encompassing sampling, cartography, remote sensing, and GIS. Development of better user interfaces between image processing, GIS, database management, and statistical software is needed to expedite research on these and other impediments to integrated analysis of remotely sensed and GIS data.