Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Chinese HJ-1A/B satellites and data characteristics

  • Research Paper
  • Published:
Science China Earth Sciences Aims and scope Submit manuscript

Abstract

From the viewpoint of environmental remote-sensing applications, this article explains the overall technical characteristics of the Chinese HJ-1A and HJ-1B satellites. It also investigates the spectral characteristics and potential applications of charge-coupled devices, and the infrared and hyperspectral data obtained by the satellites. Examples of applications, such as the remote-sensing monitoring of algal bloom in Taihu Lake, straw burning in southern China, and aerosol optical depth in the area around Bohai sea are presented. These examples illustrate the application characteristics of the HJ-1A and HJ-1B satellite data.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Li X W. Remote sensing science and Quantitative remote sensing (in Chinese). Sci Obs, 2006, 1: 45–47

    Google Scholar 

  2. Wang Q, Yang Y P, Huang J Z, et al. Environmental Remote Sensing (in Chinese). Beijing: Science Press, 2005. 268–273

    Google Scholar 

  3. Zhao X, Lu J, Gong A, et al. Operational spectrum reconstruction of data from the Fourier transform hyperspectral imager onboard HJ-1A satellite. Chin Sci Bull, 2010, 55: 1808–1812

    Article  Google Scholar 

  4. Caren E B, John H J, Robert P B, et al. Spectral absorption properties of dissolved and particulate matter in Lake Erie. Remote Sen Environ, 2008, 112: 1702–1711

    Article  Google Scholar 

  5. Dall’Olmo G., Gitelson A A. Effect of bio-optical parameter variability on the remote estimation of chlorophyll-a concentration in turbid productive waters: experimental results. App Opt, 2005, 44: 412–422

    Article  Google Scholar 

  6. Wu C Q, Wang Q, Yang Z F. Image cloud removing method of water remote sensing based on pixel unmixing (in Chinese). J Remote Sens, 2006, 10: 176–184

    Google Scholar 

  7. Tang S H, Zhu J, Yan G J. The theory and method of surface parameters remote sensing inversion (in Chinese). J Beijing Normal Univ, 2001, 37: 266–273

    Google Scholar 

  8. FU B J, Chen L X, Keming Landscape Ecology: Theory and Application (in Chinese). Beijing: Science Press, 2001. 35–37

    Google Scholar 

  9. Li J S, Zhang B, Shen Q, et al. Application of airbone imaging spectrometer CHRIS in inland water quality monitoring (in Chinese). Remote Sens Tech App, 2007, 22: 593–597

    Google Scholar 

  10. Liu J Y, Zhang Z X, Zhuang D F. Spatial and Temporal Remote Sensing Information Research of China’s Recent Land Use Change (in Chinese). Beijing: Science Press, 2005. 73–77

    Google Scholar 

  11. Wu C Q, Yang Z F, Wang Q, et al. A reverse method of chlorophyll- a based on dynamic apex (in Chinese). Lake Sci, 2009, 21: 223–227

    Google Scholar 

  12. Juan C J, Jose A S. A generalized single-channel method for retrieving land surface temperature from remote sensing data. J Geophy Res, 2003, 108: 3–8

    Google Scholar 

  13. Wang Z T, Li Q, TAO J H, et al. Monitoring of aerosol optical depth over land surface using CCD camera on H J-1 satellite. Res Environ Sci, 2009, 29: 594–599

    Google Scholar 

  14. Sun L, Liu Q H, Chen L, et al. Aerosol optical thickness reserving based on environment and hyperspectral imager of disaster small satellite (in Chinese). J Remote Sens, 2006, 10: 770–776

    Google Scholar 

  15. Guptaa P, Sundar A C, Jun W, et al. Satellite remote sensing of particulate matter and air quality assessment over global cities. Atmosph Environ, 2006, 40: 5880–5892

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Satellite Environment Center, Ministry of Environmental Protection, Beijing, 100029, China

    Qiao Wang, ChuanQing Wu & Qing Li

  2. Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing, 100190, China

    JunSheng Li

Authors
  1. Qiao Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. ChuanQing Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qing Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. JunSheng Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to ChuanQing Wu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wang, Q., Wu, C., Li, Q. et al. Chinese HJ-1A/B satellites and data characteristics. Sci. China Earth Sci. 53 (Suppl 1), 51–57 (2010). https://doi.org/10.1007/s11430-010-4139-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11430-010-4139-0

Keywords

Search

Navigation