Spectroscopy and Spectral Analysis, Volume. 33, Issue 10, 2803(2013)

Accuracy Comparison of BJ-1, HJ and Landsat Data in the Retrieval of Grassland Vegetation Coverage, Leaf Area Index and above Ground Biomass

WANG Hong-yan1、*, LI Xiao-song2, ZHANG Jin2, and GAO Zhi-hai1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less

    Domestic satellites BJ-1, HJ and the most widely used satellite Landsat TM were selected to systematically compare their abilities and differences on the estimation of the biophysical parameters of grassland in sandstorm source region in Beijing and Tianjin, with the combination of field-measured fractional coverage, leaf area index and aboveground biomass data. The result shows: (1) In terms of the surface reflectance, HJ-1B and Landsat TM have a higher correlation with biophysical parameters in red band, compared with BJ-1, while BJ-1’s near infra-red band was obviously superior to HJ-1B and Landsat TM, (2) with respect to the vegetation indices, Landsat TM performed best, HJ-1B was the second, and BJ-1 was the worst, (3) compared with vegetation indices, multiple regression model can raise the estimation accuracy, BJ-1 based model improved significantly, while Landsat TM and HJ-1B based models were less obvious. Among them, the highest accuracy was acquired for leaf area index estimation through the BJ-1 based model (R2=0.61, RMSEP=0.15). In general, domestic satellites have their own unique features, which remain a huge potential to be further tapped.

    Tools

    Get Citation

    Copy Citation Text

    WANG Hong-yan, LI Xiao-song, ZHANG Jin, GAO Zhi-hai. Accuracy Comparison of BJ-1, HJ and Landsat Data in the Retrieval of Grassland Vegetation Coverage, Leaf Area Index and above Ground Biomass[J]. Spectroscopy and Spectral Analysis, 2013, 33(10): 2803

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: Jan. 24, 2013

    Accepted: --

    Published Online: Oct. 23, 2013

    The Author Email: Hong-yan WANG (wanghongyan225@163.com)

    DOI:10.3964/j.issn.1000-0593(2013)10-2803-06

    Topics