Environmental analysis using integrated GIS and remotely sensed data - Some research needs and priorities
- California, University, Santa Barbara (USA) NASA, Stennis Space Center, Bay Saint Louis, MS (USA) Utah, University, Salt Lake City (USA) Louisiana State University, Baton Rouge (USA) North Carolina, University, Chapel Hill (USA)
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. 79 refs.
- OSTI ID:
- 5401495
- Journal Information:
- Photogrammetric Engineering and Remote Sensing; (United States), Journal Name: Photogrammetric Engineering and Remote Sensing; (United States) Vol. 57; ISSN PERSD; ISSN 0099-1112
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
540000* -- Environment-- (1990-)
BIOSPHERE
CLASSIFICATION
DATA ANALYSIS
DATA BASE MANAGEMENT
DATA PROCESSING
EARTH PLANET
GEOGRAPHY
IMAGE PROCESSING
INFORMATION SYSTEMS
MANAGEMENT
MATHEMATICS
PLANETS
PROCESSING
REMOTE SENSING
RESEARCH PROGRAMS
SPECIFICATIONS
STATISTICS
VARIATIONS