Skip to main content
SpringerLink
Log in

An Overview of Earth Observation and Geospatial Information Service

  • Chapter
  • First Online:
Book cover Geospatial Technology for Earth Observation

Abstract

A great progress in Earth sciences in the past century is Earth Observation (EO) from space and storing, managing, and distributing remotely sensed data via networked geographic information systems (GIS). Various topographic maps, thematic maps, ortho-images, and other products can be obtained from remotely sensed data by air-borne and space-borne remote sensing sensors within the electromagnetic spectrum, including visible, infrared, and microwave bands. Weather forecasts, natural resource exploitations, environmental monitoring, crop yield estimations, land use, land cover change, and prediction and prevention of natural hazards, such as sandstorms, droughts, floods, volcanoes, and earthquakes, can be carried out with Earth observation technology. New Earth observation technology improves the living standards of human beings and the development of social economy. It has contributed greatly to the sustainable development and research of Earth science.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Beyer HA (1992) Geometric and radiometric analysis of a CCD-Camera based photogrammetric close-range system. PhD thesis, Institut fur Geodasie und Photogrammetry, Nr. 51, ETH, Zurich, May 1992

    Google Scholar 

  • Bianconi M, Crespi M, Fratarcangeli F, Giannone F, Pieralice F (2008) A new strategy for rational polynomial coefficients generation. Proceeding EARSeL Joint Workshop Remote Sensing, New Challenges of High Resolution, Bochum (Germany) March 5-7 2008

    Google Scholar 

  • Brovelli M.A, Crespi M, Fratarcangeli F, Giannone F, Realini E (2008) Accuracy assessment of high resolution satellite imagery orientation by leave-one-out method, ISPRS Journal of Photogrammetry and Remote Sensing, Vol.63 Issue 4 pags. 427-440

    Article  Google Scholar 

  • Brown DC (1971) Close-range camera calibration. Photogrammetric Engineering. Vol.37, No. 8, pp.855-866

    Google Scholar 

  • Crespi M, Fratarcangeli F, Giannone F, Pieralice F (2008a) Orientation Of Quickbird, Ikonos and Eros A Stereopairs by an Original Rigorous Model International Calibration and Orientation Workshop. Proceeding of EuroCOW 2008, Castelldefels (Spain) January 30-February 1 2008

    Google Scholar 

  • Crespi M, Fratarcangeli F, Giannone F, Jacobsen K, Pieralice F (2008b) Orientation of Cartosat-1 Stereo Imagery. Proceeding of EARSeL Joint Workshop Remote Sensing, New Challenges of High Resolution, Bochum (Germany) March 5-7 2008

    Google Scholar 

  • Elisseeff A, Pontil M (2002) Leave-one-out error and stability of learning algorithms with applications. Advances in Learning Theory: Methods, Models and Applications:111-130. NATO Advanced Study Institute on Learning Theory and Practice

    Google Scholar 

  • Fraser C S and Hanley H B (2003) Bias compensation in rational functions for Ikonos satellite imagery Photogrammetric Engineering and Remote Sensing, Vol. 69(1), pp. 53-57

    Google Scholar 

  • Geisser S (1975) The predictive sample reuse method with applications. Journal of the American Statistical Association, Vol. 70, No. 350, pp.320-328

    Article  Google Scholar 

  • Giannone F (2006) A rigorous model for High Resolution Satellite Imagery Orientation. Phd Thesis of the Sapienza University of Rome. Supervisors: M. Crespi. Available: http://w3.uniroma1.it/geodgeom/personale.htm#DottoriRicerca

  • Golub G, Van Loan C F (1993) Matrix computation. The Johns Hopkins University Press, Baltimore and London

    Google Scholar 

  • Hanley H B, Fraser C S (2004) Sensor orientation for high-resolution satellite imagery: further insights into bias-compensated RPC, Available: http://www.isprs.org/istanbul2004/comm1/papers/5.pdf

  • Hofmann Wellenhof B, Lichtenegger H, Wasle E (2008) GNSS Global Navigation Satellite System, Spinger-Verlag. ISBN: 978-3-211-73012-6

    Google Scholar 

  • Jacobsen K (1998) Geometric calibration of space remote sensing cameras for efficient processing. IAPRS, Vol. 32, Part 1, pp. 33-43

    Google Scholar 

  • Kaula WM (1966) Theory of Satellite Geodesy. Blaisedell Publishing Company

    Google Scholar 

  • Montenbruck O, Gill E (2001) Satellite orbits. Springer, Berlin

    Google Scholar 

  • Neumaier A (1998) Solving ill-conditioned and singular linear systems: a tutorial on regularization SIAM Review, Issue 3, Vol. 40 pp. 636-666

    Article  Google Scholar 

  • NIMA (2000) The Compendium of Controlled Extensions (CE) for the National Imagery Transmission Format (Version 2.1) NITFS technical board

    Google Scholar 

  • Noerdlinger PD (1999) Atmospheric refraction effects in earth remote sensing. ISPRS Journal of Photogrammetry & Remote Sensing Vol. 54, pp. 360–373

    Article  Google Scholar 

  • Pieralice F (2007) Orthorectification of IKONOS High Resolution Satellite Imagery: definition, implementation and accuracy assessment of an original orientation model. Degree thesis of the Sapienza University of Rome. Supervisors: M. Crespi. Not published

    Google Scholar 

  • Poli D (2005) Modelling of spaceborne linear array sensors. Diss., Technische Wissenschaften ETH Zurich, Nr. 15894, IGP Mitteilung

    Google Scholar 

  • Simon R, Dobbin K, McShane L M (2003) Pitfalls in the Use of DNA Microarray Data for Diagnostic and Prognostic Classification. JNCI Journal of the National Cancer Institute 2003 95(1), 14-18. Oxford University Press

    Article  Google Scholar 

  • Stone M (1974) Cross-validatory choice and assessment of statistical predictions (with discussion). Journal of the Royal Statistical Society B, No. 36, pp.111-147

    Google Scholar 

  • Strang G, Borre K (1997) Linear algebra, Geodesy and GPS. Wellesley-Cambridge Press, Wellesley

    Google Scholar 

  • Tao C V, Hu Y (2001a) The rational function model-A tool for processing high resolution imagery Earth Observation Magazine, Vol. 10 (1), pp. 13-16

    Google Scholar 

  • Tao C V, Hu Y (2001b) A comprehensive study of the rational function model for photogrammetric processing Photogrammefric Engineering & Remote Sensing, Vol. 67(12), pp. 1347-1357

    Google Scholar 

  • Tao C V, Hu Y (2001c) Use of the rational function model for image rectification Canadian Journal of Remote Sensing, Vol. 27(6), pp. 593-602

    Google Scholar 

  • Tao C V and Hu Y (2002) 3D reconstruction methods based on the rational function model. Photogrammetric Engineering &Remote Sensing, vol. 68(7), pp.705-714

    Google Scholar 

  • Teunissen P.J.G, Kleusberg A (1998) GPS for Geodesy, Springer-Verlag. ISBN: 3-540-63661-7

    Google Scholar 

  • Toutin T, Chénier R, Carbonneau Y (2000) 3D models for high resolution images: examples with Quickbird, Ikonos and EROS In Proceedings of ISPRS Commission IV Symposium, Joint International Symposium on Geospatial Theory, Processing and Applications, Ottawa, pp. 547-551

    Google Scholar 

  • Westin T (1990) Precision rectification of SPOT imagery. Photogrammetric Engineering and Remote Sensing Vol.56, n. 2, pp. 247–253

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, 129 Luoyu Road, 430079, Wuhan, 430079, China, People’s Republic

    Deren Li

Authors
  1. Deren Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Remote Sensing, and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan, 430079, China, People's Republic

    Deren Li

  2. School of Civil Engineering, Purdue University, Stadium Mall Drive 550, West Lafayette, 47907-2051, Indiana, USA

    Jie Shan

  3. School of Remote Sensing, and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan, 430079, China, People's Republic

    Jianya Gong

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Li, D. (2010). An Overview of Earth Observation and Geospatial Information Service. In: Li, D., Shan, J., Gong, J. (eds) Geospatial Technology for Earth Observation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0050-0_1

Download citation

Publish with us

Policies and ethics

Search

Navigation