A Validation Study of an Improved SWIR Iterative Atmospheric Correction Algorithm for MODIS-Aqua Measurements in Lake Taihu, China
A Validation Study of an Improved SWIR Iterative Atmospheric Correction Algorithm for MODIS-Aqua Measurements in Lake Taihu, China
复制标题
改进的 SWIR 迭代大气校正算法对中国太湖 MODIS-Aqua 测量的验证研究
DOI：
10.1109/tgrs.2013.2283523
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发表时间：
2014-08
影响因子：
8.2
通讯作者：
Duan, Hongtao
中科院分区：
文献类型：
--
作者：
Ma, Ronghua;Li, Junsheng;Zhang, Bing;Duan, Hongtao
针对太湖地区中分辨率成像光谱仪（MODIS）数据的大气校正问题，提出了一种改进的短波红外（SWIR）迭代算法。通过MODIS反演的反射率与实测反射率的匹配比较，验证了该算法的有效性。首先对MODIS立交桥与野外实测资料在±5 min时间窗内的4个观测站进行了匹配比对。实例表明，反演的Rrs谱不仅在相对清澈的沃茨中（Rrs（859）约为0.0014 sr-1），而且在浑浊的沃茨中（Rrs（859）约为0.013 sr-1），与现场测量结果相当吻合。在±2 h时间窗内对54个观测站进行了匹配比较，结果表明AC算法对太湖地区的MODIS数据提取水体光谱具有较好的效果。利用MODIS测量的Rrs（443）和Rrs（859）对一次太湖水华事件进行了监测，结果表明，MODIS数据与AC算法相结合，可以作为太湖水质监测的有效工具。SWIR迭代算法，沿着的叶绿素a浓度（Chl-a）反演模型，使用红色到近红外波段，有可能定量监测Chl-a，并提供有用的信息，为决策者管理水环境和准备的事件，如藻华。
We have presented an improved short-wave infrared (SWIR)-based iterative algorithm for the atmospheric correction (AC) of Moderate Resolution Imaging Spectroradiometer (MODIS) data over Lake Taihu, China. The algorithm was validated by means of matchup comparison between MODIS-retrieved and in situ remote sensing reflectances (Rrs). Four examples of the matchup comparison were first carried out for the observation stations within a ±5-min time window of MODIS overpass and field measurements. It is shown in the examples that the retrieved Rrs spectra compare reasonably well with the in situ measurements not only over relatively clear waters (with Rrs(859) about 0.0014 sr-1) but also over turbid waters (with Rrs(859) about 0.013 sr-1). The matchup comparison was further carried out for a total of 54 observation stations within a ±2-h time window, indicating that the AC algorithm has good performance for producing water spectra from MODIS data over Lake Taihu. The development of an algal bloom event has been monitored using MODIS-measured Rrs(443) and Rrs(859), showing that MODIS data, combined with the AC algorithm, can be a useful tool for monitoring the water quality of Lake Taihu. The SWIR iterative algorithm, along with the chlorophyll-a concentration (Chl-a) retrieval model using red to near-infrared bands, has the potential of monitoring Chl-a quantitatively and providing useful information for decision makers to manage the water environment and to prepare for events as algal blooms.
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影响因子：
1.9
作者：
HALE, GM;QUERRY, MR
通讯作者：
QUERRY, MR
DOI：
10.1117/12.466084
发表时间：
2003-05
期刊：
--
影响因子：
--
作者：
Xianqiang He;D. Pan
通讯作者：
Xianqiang He;D. Pan
影响因子：
3.4
作者：
S. Sathyendranath;G. Cota;V. Stuart;H. Maass;T. Platt
通讯作者：
S. Sathyendranath;G. Cota;V. Stuart;H. Maass;T. Platt
影响因子：
1.9
作者：
Mobley, CD
通讯作者：
Mobley, CD
影响因子：
5.2
作者：
Menghua Wang;W. Shi
通讯作者：
Menghua Wang;W. Shi