Detection of impervious surface change with multitemporal Landsat images in an urban-rural frontier.
Detection of impervious surface change with multitemporal Landsat images in an urban-rural frontier.
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DOI：
10.1016/j.isprsjprs.2010.10.010
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发表时间：
2011-05-01
期刊：
影响因子：
--
通讯作者：
Hetrick S
中科院分区：
文献类型：
--
作者：
Lu D;Moran E;Hetrick S
由于混合像元问题和不透水面与其他非植被土地覆被的光谱混淆，在复杂的城乡边界地区，利用中或粗空间分辨率图像对不透水面动态变化进行制图和监测是一个挑战。本研究选择巴西马托格罗索州的Lucas do里约热内卢Verde县作为案例研究，通过综合使用Landsat和QuickBird图像来提高不透水面估算性能，并通过分析归一化的多时相Landsat提取的分数不透水面来监测不透水面的变化。本研究证明了两步校准的重要性。第一步，以2008年quickbird不透水面影像为基础，通过建立回归模型，对landsat不透水面分值进行标定。第二步，将校正后的2008年不透水面图像与其他日期的不透水面图像进行归一化。研究表明，基于逐像元的方法对城乡边界不透水面面积高估了50-60%。为了准确估算不透水面面积，需要对分式不透水面影像进行制图，并进一步用高空间分辨率影像对估算结果进行标定。此外，为了有效地检测复杂城乡边界地区不透水面动态变化，还需要对时序不透水面分式图像进行归一化处理，以降低不同环境条件的影响。本文开发的不透水面制图和监测程序在城乡边界地区尤其有价值，因为传统的基于逐像元的分类方法难以利用多时相Landsat图像准确提取不透水面特征，因为它们不能有效地处理混合像元问题。
Mapping and monitoring impervious surface dynamic change in a complex urban-rural frontier with medium or coarse spatial resolution images is a challenge due to the mixed pixel problem and the spectral confusion between impervious surfaces and other non-vegetation land covers. This research selected Lucas do Rio Verde County in Mato Grosso State, Brazil as a case study to improve impervious surface estimation performance by the integrated use of Landsat and QuickBird images and to monitor impervious surface change by analyzing the normalized multitemporal Landsat-derived fractional impervious surfaces. This research demonstrates the importance of two step calibrations. The first step is to calibrate the Landsat-derived fraction impervious surface values through the established regression model based on the QuickBird-derived impervious surface image in 2008. The second step is to conduct the normalization between the calibrated 2008 impervious surface image with other dates of impervious surface images. This research indicates that the per-pixel based method overestimates the impervious surface area in the urban-rural frontier by 50-60%. In order to accurately estimate impervious surface area, it is necessary to map the fractional impervious surface image and further calibrate the estimates with high spatial resolution images. Also normalization of the multitemporal fractional impervious surface images is needed to reduce the impacts from different environmental conditions, in order to effectively detect the impervious surface dynamic change in a complex urban-rural frontier. The procedure developed in this paper for mapping and monitoring impervious surface area is especially valuable in urban-rural frontiers where multitemporal Landsat images are difficult to be used for accurately extracting impervious surface features based on traditional per-pixel based classification methods as they cannot effectively handle the mixed pixel problem.
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影响因子：
3.4
作者：
Lu D;Hetrick S;Moran E
通讯作者：
Moran E
影响因子：
2.7
作者：
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1.3
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1.3
作者：
Jennings, DB;Jarnagin, ST;Ebert, DW
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作者：
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