Long-term remote monitoring of total suspended matter concentration in Lake Taihu using 250 m MODIS-Aqua data
Long-term remote monitoring of total suspended matter concentration in Lake Taihu using 250 m MODIS-Aqua data
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DOI：
10.1016/j.rse.2015.02.029
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发表时间：
2015-07
影响因子：
13.5
通讯作者：
Kun Shi;Yunlin Zhang;G. Zhu;Xiaohan Liu;Yongqiang Zhou;Hai Xu;B. Qin;Ge Liu;Yunmei Li
中科院分区：
文献类型：
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作者：
Kun Shi;Yunlin Zhang;G. Zhu;Xiaohan Liu;Yongqiang Zhou;Hai Xu;B. Qin;Ge Liu;Yunmei Li
我们已经开发和验证了一个强大的经验模型，估计总悬浮物（TSM）在太湖（中国），一个大型的浑浊内陆水体的浓度。该模型是利用2003年至2013年收集的中分辨率成像光谱仪（MODIS-Aqua）中分辨率（250米）数据和从一些巡航调查中收集的现场数据生成的。大气校正后的645 nm波段遥感反射率（Rrs（645））与实测TSM数据之间存在极显著的相关关系（R2= 0.70，p <0.001，n = 150）。在此基础上，建立了太湖区域TSM模型。从MODIS-Aqua数据检索的长期TSM分布图显示出明显的时间和空间变化。在时间上，夏季和秋季的TSM显著低于冬季和春季（p<0.005，t检验）。显著的季节变化可以归因于沉积物再悬浮由于不同季节之间的风速变化。太湖也经历了很大的年际变化，主要是由该地区风力的变化引起的。特别是2006 - 2008年太湖的TSM相对较低，这可能是由于这些年的平均风速较低，与其他年份相比。在空间上，太湖开放区的总悬浮颗粒物浓度一直高于太湖其他亚区，尤其是太湖南部。东太湖沉水植被覆盖度总体上属于TSM相对较低的区域。湖泊地形条件，SAV和径流量共同贡献了TSM的空间变化。
We have developed and validated a robust empirical model for estimating the concentrations of total suspended matter (TSM) in Lake Taihu (China), a large turbid inland water body. This model was generated using Moderate Resolution Imaging Spectroradiometer (MODIS-Aqua) medium-resolution (250 m) data gathered from 2003 to 2013 and in situ data collected from a number of cruise surveys. A strong significant correlate relationship between the in situ TSM data and the atmospherically corrected MODIS-Aqua remote sensing reflectance at the 645 nm band (Rrs(645)) was found (R2= 0.70,p< 0.001,n= 150). From these data, a local TSM model was developed for Lake Taihu. Long-term TSM distribution maps retrieved from the MODIS-Aqua data demonstrated marked temporal and spatial variations. Temporally, significant lower TSM was found in summer and autumn than in winter and spring (p< 0.005,t-test). The significant seasonal variability could be attributed to sediment resuspension due to changes in the wind speed between different seasons. Lake Taihu also experiences large inter-annual variations that are primarily caused by changes in wind force over the region. In particular, the TSM in Lake Taihu from 2006 to 2008 was relatively lower than in other years, which could be explained by the lower mean wind speed during these years compared to the other years. Spatially, the TSM in the Open area, especially in the southern part of this region, was consistently higher than in other sub-regions of Lake Taihu. The coverage of submerged aquatic vegetation (SAV) generally characterized East Lake Taihu as a region with a relatively lower TSM. Lake topographic conditions, SAV, and runoff discharge jointly contributed to the spatial variations in TSM.