Skip to main content
Log in

Abstract

The paper firstly defined the remote sensing information quantification, analyzed the necessity of developing remote sensing quantification, figured out the application guidelines requirement, and pointed out the importance of quantification research. Then taking the remote sensing application research of CBERS-02 data quantification as the example, the paper described the whole quantification system of “remotely sensed digital signal-radiation information-field parameter inversion”. Finally the paper gave the prospect for the development trend of the quantitative remote sensing.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Tong, Q. X., Tian, G. L., Research on the Earth Target Electromagnetic Spectrum (in Chinese), Beijing: Science Press, 1990.

    Google Scholar 

  2. He, J. B., Tian, G. L., Wang, J. F., Development of Supervising and Evaluating of Big Natural Disaster (in Chinese), Beijing: China Science and Technology Press, 1993.

    Google Scholar 

  3. Li, S. K., Remote Sensing Analysis of Global Resources and Environments (in Chinese), Beijing: Sinomaps Press, 1992.

    Google Scholar 

  4. Brown, R. J., Brisco, B., Ahern, F. J. et al., SAR application calibration requirements, Canadian Journal of Remote Sensing, 1993, 19(3): 193–203.

    Google Scholar 

  5. Price, J. C., Estimating leaf area index from satellite date, IEEE Transactions on Geoscience and Remote Sensing, 1993, 31(3): 727–734.

    Article  Google Scholar 

  6. Hook, S. J., Gabell, A. R., Green, A. A. et al., A comparison of techniques for extracting emissivity information from thermal infrared data for geologic studies, Remote Sensing of Environment, 1992, 42: 123–135.

    Article  Google Scholar 

  7. Henderson, S. W., Suni, P. J., Hale, C. P. et al., Coherent laser rader at 2 micrometers using solid-state laser, IEEE Trangsactions on Geoscience and Remote Sensing, 1993, 31(1): 4–15.

    Article  Google Scholar 

  8. Eichinger, W. E., Cooper, D. I., Parlange, M. et al., The application of a scanning, water Raman-Lider as a probe of the atmospheric boundary layer, IEEE Transactions on Geoscience and Remote Sensing, 1993, 31(1): 70–79.

    Article  Google Scholar 

  9. Kenward, D. R. D., A precision corner reflector for ERS-1 SAR calibration, Canadian Journal of Remote Sensing, 1993, 19(3): 218–224.

    Google Scholar 

  10. Shimada, M., Nakai, M., Kawase, S., Inflight evaluation of the L-band SAR of JERS-1, Canadian Journal of Remote Sensing, 1993, 19(3): 247–257.

    Google Scholar 

  11. Eberhard, W. L., C02 Lidar technique for observing characteristic drop size in water clouds, IEEE Transactions on Geoscience and Remote Sensing, 1993, 31(1): 56–63.

    Article  MathSciNet  Google Scholar 

  12. Mukai, S., Sano, I., Masuda, K. et al., atmospheric correction for ocean remote sensing. Optical properties of aerosol derived from CZCS image, IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(4): 818–824.

    Article  Google Scholar 

  13. Ottle, C., Vidal-Madjar, D., Estimation of land surface temperature with NOAA 9 data, Remote Sensing of Environment, 1992, 40: 27–41.

    Article  Google Scholar 

  14. Wu, S. C., Melbourne, W. G., An optimal GPS data processing technique for precise positioning, IEEE Transactions on Geoscience and Remote Sensing, 1993, 31(1): 146–152.

    Article  Google Scholar 

  15. Moreno, J. F., Melia, J., A method for accurate geometric correction of NOAA AVHRR HRPT data, IEEE Transactions on Geoscience and Remote Sensing, 1993, 31(1): 204–226.

    Article  Google Scholar 

  16. Wivell, C. E., Steinward, D. R., Kelly, G. G. et al., Evaluation of terrain models for the geocoding and terrain correction of synthetic aperture radar (SAR), IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(6): 1137–1144.

    Article  Google Scholar 

  17. Che, N., Price, J. C., Survey of radiometric calibration results and methods for visible and neariInfrared channels of NOAA-7,-9,-11 AVHRRs, Remote Sensing of Environment, 1992, 41: 19–27.

    Article  Google Scholar 

  18. Santer, R., Gu, X. F., Guyot, G. et al., SPOT calibration at La Crau Test Site (France), Remote Sensing of Environment, 1992, 41: 227–237.

    Article  Google Scholar 

  19. Salu, Y., Tilton, J., Classification of multispectral image data by the binary diamond neural network and by nonparametric pixel by pixel methods, IEEE Transactions on Geoscience and Remote Sensing, 1993, 31(3): 06–617.

    Article  Google Scholar 

  20. Eshimabakuro, Y., Smith, L. A., The least-squares mixing models to generate fraction image derived from remote sensing multispectral data, IEEE Transactions on Geoscience and Remote Sensing, 1991, 29(1): 10–20.

    Google Scholar 

  21. Seller, P. J., Gall, F. G., Asrar, G. et al., An overview of the first international satellite land surface climatology project (ISLSCP): field experiment (FIFE), Journal of Geophysical Research, 1992, 97(D17): 18345–18371.

    Google Scholar 

  22. Sellers, P. J., Hall, F. G., FIFE in 1992: results, scientific gains, and future research directions, Journal of Geophysical Research, 1992, 97(D17): 19091–19109.

    Google Scholar 

  23. Wu, M. R., Wang, Z. M., CBERS and the prospect for its application, Aerospace China (in Chinese), 2000, (1): 11–15.

    Google Scholar 

  24. Guo, J. L., Yu, J., Zeng, Y. et al., Study on the relative radiometric correction of CBERS Satellite CCD image, Science in China, Ser. E, 2005, 48(supp. I): 12–28.

    Google Scholar 

  25. Leger, D., Viallefont, F., Hillairet, E. et al., In-flight refocusing and refocusing and MTF assessment of SPOT5 HRG and HRS, SPIE, 2003, 4881: 224–231.

    Article  Google Scholar 

  26. Dinguirard, M., Slater, P. N., Calibration of space-multispectral imaging sensors: A review, Remote Sensing of Environment, 1999, 68: 194–205.

    Article  Google Scholar 

  27. Vermoter, E., Kaufman, Y. J., Absolute calibration of AVHRR visible and near-infrared channels using ocean and cloud views, International Journal of Remote Sensing, 1995, 16(13): 2317–2340.

    Article  Google Scholar 

  28. Henry, P., Meygret, A., Calibration of HRVIR and VEGETATION cameras on SPOT4, Adv. Space Res., 2001, 28(1): 49–58.

    Article  Google Scholar 

  29. Li, X. Y., Gu, X. F., Min, X. J. et al., Radiometric cross-calibration of the CBERS-02 CCD camera with the TERRA MODIS, Science in China, Ser. E, 2005, 48(supp. I): 44–60.

    Google Scholar 

  30. Tang, J. W., Gu, X. F., Niu, S. L. et al., Water target based cross-calibration of CBERS-02 CCD camera with MODIS data, Science in China, Ser. E, 2005, 48(supp. I): 61–71.

    Google Scholar 

  31. Zhang, Y., Gu, Xingfa, Yu, T. et al., Absolute radiometric calibration of CBERS-02 IRMSS thermal band, Science in China, Ser. E, 2005, 48(supp. I): 72–90.

    Google Scholar 

  32. Justice, C. O., Townshend, J. R. G., Vermote E. F. et al., An overview of MODIS land data processing and product status, Remote Sensing of Environment, 2002, 83: 3–15.

    Article  Google Scholar 

  33. Liang, S. L., Quantitative Remote Sensing of Land Surfaces, New York: John Wiley & Sons, Inc. 2003.

    Book  Google Scholar 

  34. Gao, F., Li, X. W., Xia, Z. G. et al., Grading and uncertain multi-angle remote sensing inversion based on the knowledge, Science in China (in Chinese), Series D, 1998, 28(4): 346–350.

    Google Scholar 

  35. Li, X. W., Wang, J. D., Hu, B. X. et al., On utilization of prior knowledge in inversion of remote sensing model, Science in China, Series D, 1998, 41(6): 580–586.

    Article  Google Scholar 

  36. Li, X. W., Wang, J. D., Strahler, A. H. et al., Scaling effects of Plank function on the non-isothermal surface, Science in China (in Chinese), Series E, 1999, 29(5): 422–426.

    Google Scholar 

  37. Li, X. W., Gao, F., Wang, J. D. et al., A priori knowledge accumulation and its application, to linear BRDF model inversion, J. Geophys. Res.-Atmos., 2001, 106(D11): 11925–11935.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gu Xingfa.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gu, X., Tian, G., Li, X. et al. The quantification of remote sensing. Sci. China Ser. E-Technol. Sci. 48 (Suppl 2), 1–11 (2005). https://doi.org/10.1007/BF03039421

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03039421

Keywords

Navigation