Fractional vegetation cover estimation based on soil and vegetation lines in a corn-dominated area |
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Authors: | Kun Jia Yuwei Li Shunlin Liang Xiangqin Wei Xihan Mu Yunjun Yao |
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Affiliation: | 1. State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing, China;2. Department of Geographical Sciences, University of Maryland, College Park, MD, USA;3. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China |
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Abstract: | An automatic fractional vegetation cover (FVC) estimation method based on image characteristics in an agricultural region was proposed in this study to remove the empiricism in determining the key parameters of empirical methods. The proposed method automatically determined the soil and vegetation lines in the two-dimensional space of the red and blue band reflectances, which involved an iterative soil and vegetation pixels selection procedure, and then estimated FVC of a pixel based on its distances from the soil and vegetation lines. The accuracy assessment using field survey data indicated that the performance of the proposed method (R2 = 0.69, RMSE = 0.072, Bias = 0.014) was comparable with several commonly used empirical methods. Therefore, it was indicated that the proposed method could effectively estimate FVC in the corn-dominated region. |
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Keywords: | Fractional vegetation cover vegetation line soil line image characteristics remote sensing |
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