Improvement of Urban Impervious Surface Estimation in Shanghai Using Landsat7 ETM+ Data |
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作者单位: | Department of Land Management, Zhejiang University, Hangzhou 310029, China |
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摘 要: |
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关 键 词: | 城市中心区 估计精度 Landsat7 ETM数据 表面 上海 线性回归模型 光谱混合分析 |
收稿时间: | 22 February 2006 |
Improvement of urban impervious surface estimation in Shanghai using Landsat7 ETM+ data |
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Authors: | Wenze Yue |
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Institution: | (1) Department of Land Management, Zhejiang University, Hangzhou, 310029, China |
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Abstract: | This paper explores the potential to improve the impervious surface estimation accuracy using a multi-stage approach on the
basis of vegetation-impervious surface-soil (V-I-S) model. In the first stage of Spectral Mixture Analysis (SMA) process,
pixel purity index, a quantitative index for defining endmember quality, and a 3-dimensional endmember selection method were
applied to refining endmembers. In the second stage, instead of obtaining impervious surface fraction by adding high and low
albedo fractions directly, a linear regression model was built between impervious surface and high/low albedo using a random
sampling method. The urban impervious surface distribution in the urban central area of Shanghai was predicted by the linear
regression model. Estimation accuracy of spectral mixture analysis and impervious surface fraction were assessed using root
mean square (RMS) and color aerial photography respectively. In comparison with three different research methods, this improved
estimation method has a higher overall accuracy than traditional Linear Spectral Mixture Analysis (LSMA) method and the normalized
SMA model both in root mean square error (RMSE) and standard error (SE). However, the model has a tendency to overestimate
the impervious surface distribution.
Foundation item: Under the auspices of National Natural Science Foundation of China (No. 40701177) |
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Keywords: | vegetation-impervious surface-soil model spectral mixture analysis impervious surface Shanghai |
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