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Citation:

A Study on Estimation of Vegetation Fraction by Using QuickBird Imagery

  • Received Date: 2005-02-26
  • Using 3-bands method, NDVI method for dimidiate pixel model and integration method by QuickBird image to estimate the vegetation fraction of study area, and the estimating values of the three methods were compared and validated. The results were as follows: all the relativities of the three method were high between the estimating values and the actual values (they were all more than 0.84), and the average relative error of NDVI method for dimidiate pixel model and integration method were not high and the average estimated accuracy of all land cover type of NDVI method for dimidiate pixel model and integration method was more than 92% in the study area. The result of systematic nature validation suggested that the estimating precision of NDVI method for dimidiate pixel model and integration method was relatively high, and they had good unitary nature, so they both could be used in estimating of vegetation fraction from QuickBird image data.
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通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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A Study on Estimation of Vegetation Fraction by Using QuickBird Imagery

  • 1. Research Institute of Forest Resource Information Techniques, CAF, Beijing 100091, China

Abstract: Using 3-bands method, NDVI method for dimidiate pixel model and integration method by QuickBird image to estimate the vegetation fraction of study area, and the estimating values of the three methods were compared and validated. The results were as follows: all the relativities of the three method were high between the estimating values and the actual values (they were all more than 0.84), and the average relative error of NDVI method for dimidiate pixel model and integration method were not high and the average estimated accuracy of all land cover type of NDVI method for dimidiate pixel model and integration method was more than 92% in the study area. The result of systematic nature validation suggested that the estimating precision of NDVI method for dimidiate pixel model and integration method was relatively high, and they had good unitary nature, so they both could be used in estimating of vegetation fraction from QuickBird image data.

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