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Using RPC Block Adjustment models for the accuracy of environmental research, cartography and geomarketing: a new concept of cartography
- Source :
- Stochastic Environmental Research and Risk Assessment. 27:1315-1331
- Publication Year :
- 2012
- Publisher :
- Springer Science and Business Media LLC, 2012.
-
Abstract
- This paper presents rational polynomial coefficients (RPC) block adjustment model and its application as a new concept for the accuracy of environmental research, cartography and geomarketing. With the influence of information technology (IT) rapid development, Geographic Information Systems and remote sensing, the application of cartography, has gradually evolved from the form of paper into digitized and computerized data, from traditional formats such as vector maps into Satellite Image Maps (SIM). Particularly, remotely sensed images are a major data source to observe the earth and; have been extensively integrated into spatial–temporal analysis in environmental research. To effectively use high resolution satellite images for use in environmental monitor research, cartography and geomarketing, the accuracy of the satellite image photogrammetric process is an important issue. The aim of this paper is to apply the block adjustment of RPC models to evaluate the precision of satellite image for the use of environmental research, cartography and geomarketing, which is not found in previous literature. To verify the effectiveness of RPC Block Adjustment, this study also adapted Technology Acceptance Model (TAM) to develop a questionnaire for conducting the implementation investigation. The results showed the method is useful and powerful for the various applications and research.
- Subjects :
- Environmental Engineering
Geographic information system
business.industry
Computer science
Information technology
Computational intelligence
Photogrammetry
Vector map
Environmental Chemistry
Technology acceptance model
Safety, Risk, Reliability and Quality
business
Geomarketing
Cartography
General Environmental Science
Water Science and Technology
Block (data storage)
Subjects
Details
- ISSN :
- 14363259 and 14363240
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- Stochastic Environmental Research and Risk Assessment
- Accession number :
- edsair.doi...........8536b2a790ba4575282ee4e500d1be5a