A New Neighboring Pixels Method for Reducing Aerosol Effects on the NDVI Images
A New Neighboring Pixels Method for Reducing Aerosol Effects on the NDVI Images
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减少气溶胶对 NDVI 图像影响的新邻近像素方法
DOI：
10.3390/rs8060489
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发表时间：
2016-06
期刊：
影响因子：
5
通讯作者：
Jiang Tao
中科院分区：
文献类型：
--
作者：
Wang D;an;Chen Yunhao;Wang Mengjie;Quan Jingling;Jiang Tao
提出了一种新的算法来减小气溶胶对归一化植被指数（NDVI）的影响。模拟结果表明，在红-近红外反射率空间中，红通道和近红外通道对气溶胶光学厚度（AOD）的变化遵循特定的模式。在此基础上，利用相邻像元的两个波段的表观反射率来降低气溶胶对中心像元NDVI值的影响。我们称这种方法为相邻像素（NP）算法。利用Landsat 8业务陆地成像仪（OLI）图像对中俄边境地区的植被覆盖区进行了验证。结果表明，气溶胶校正的NDVI使用我们的算法和来自Landsat 8地表反射率产品之间的协议。其准确性与NDVI变化的梯度有关。该算法在均质森林和农田中均能达到较高的精度，均方根误差分别为0.046和0.049。该算法也可应用于大气校正，不需要任何大气条件的信息。移动窗口分析技术的使用减少了由气溶胶的空间异质性引起的误差。对具有均匀NDVI的区域的检测是偏差的主要来源。这种新方法是可操作的，可以证明在不同的气溶胶浓度水平的有用。在未来，这种方法也可以用来检查其他指标组成的波段噪声衰减的遥感。
A new algorithm was developed in this research to minimize aerosol effects on the normalized difference vegetation index (NDVI). Simulation results show that in red-NIR reflectance space, variations in red and NIR channels to aerosol optical depth (AOD) follow a specific pattern. Based on this rational, the apparent reflectance in these two bands of neighboring pixels were used to reduce aerosol effects on NDVI values of the central pixel. We call this method the neighboring pixels (NP) algorithm. Validation was performed over vegetated regions in the border area between China and Russia using Landsat 8 Operational Land Imager (OLI) imagery. Results reveal good agreement between the aerosol corrected NDVI using our algorithm and that derived from the Landsat 8 surface reflectance products. The accuracy is related to the gradient of NDVI variation. This algorithm can achieve high accuracy in homogeneous forest or cropland with the root mean square error (RMSE) being equal to 0.046 and 0.049, respectively. This algorithm can also be applied to atmospheric correction and does not require any information about atmospheric conditions. The use of the moving window analysis technique reduces errors caused by the spatial heterogeneity of aerosols. Detections of regions with homogeneous NDVI are the primary sources of biases. This new method is operational and can prove useful at different aerosol concentration levels. In the future, this approach may also be used to examine other indexes composed of bands attenuated by noises in remote sensing.
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DOI：
10.1088/1755-1315/17/1/012006
发表时间：
2014-03
期刊：
IOP Conference Series: Earth and Environmental Science
影响因子：
--
作者：
Yuhuan Zhang;Zhengqiang Li;Weizhen Hou;Li Donghui 1;Zhang Ying;Ma Yan
通讯作者：
Yuhuan Zhang;Zhengqiang Li;Weizhen Hou;Li Donghui 1;Zhang Ying;Ma Yan
DOI：
10.3390/rs70506240
发表时间：
2015-05
期刊：
Remote. Sens.
影响因子：
--
作者：
L. Qie;Zhengqiang Li;Xiaobing Sun;Bin Sun;Donghui Li;Zhao Liu;Wei Huang-;Han Wang;Xingfeng Chen-Xingfeng
通讯作者：
L. Qie;Zhengqiang Li;Xiaobing Sun;Bin Sun;Donghui Li;Zhao Liu;Wei Huang-;Han Wang;Xingfeng Chen-Xingfeng
影响因子：
1.9
作者：
Kotchenova, Svetlana Y.;Vermote, Eric F.
通讯作者：
Vermote, Eric F.
影响因子：
8.2
作者：
KAUFMAN, YJ;TANRE, D
通讯作者：
TANRE, D
DOI：
10.3390/rs6021587
发表时间：
2014-02
期刊：
Remote. Sens.
影响因子：
--
作者：
Junliang He;Y. Zha;Jiahua Zhang;Jay Gao
通讯作者：
Junliang He;Y. Zha;Jiahua Zhang;Jay Gao