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REMOTE SENSING FOR LAND & RESOURCES    2009, Vol. 21 Issue (3) : 1-6     DOI: 10.6046/gtzyyg.2009.03.01
Technology and Methodology |
THE ESTIMATION OF VEGETATION FRACTIONAL COVER
AND ITS AFFECTING FACTORS BASED ON SURFACE EXPERIMENTS
TIAN Jing 1, SU Hong-bo 1, Sun Xiao-min 2, CHEN Shao-hui 1
1. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2. Synthesis Center of Chinese Ecosystem Research
Network, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
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Abstract  

Based on experimental data of maize canopy spectrum, leaf area index (LAI) and multi-angle

vegetation fractional cover (VFC), this paper deals with the estimation of VFC by remote sensing and its

affecting factors. Two widely used models based on vegetation index for estimating VFC were compared and

three factors affecting the estimation, namely, LAI, vegetation spatial distribution and observing zenith

angle, were analyzed. Some conclusions have been reached: the Normalized Difference Vegetation Index (NDVI)

is the best for the VFC estimation using both models; the effect of LAI on the relationship between

vegetation index and VFC increases with the growth of the vegetation; vegetation spatial distribution has

little effect on the vertical VFC estimation; for the four types of vegetation distribution, VFC presents a

symmetry spatial distribution toward view zenith angle (VZA); in the burgeon phase of the corn, VFC increases

with the increase of VZA and has the minimum value at VZA=0°, while with the growth of the corn, VFC

decreases with the increase of VZA and has the maximum value at VZA=0°.

Keywords Volcanic apparatus information system      Model      Database     
: 

 

 
  TP 79

 
Issue Date: 04 September 2009
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Cite this article:   
TIAN Jing, SU Hong-Bo, SUN Xiao-Min, CHEN Shao-Hui. THE ESTIMATION OF VEGETATION FRACTIONAL COVER
AND ITS AFFECTING FACTORS BASED ON SURFACE EXPERIMENTS[J]. REMOTE SENSING FOR LAND & RESOURCES,2009, 21(3): 1-6.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2009.03.01     OR     https://www.gtzyyg.com/EN/Y2009/V21/I3/1
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