...
首页> 外文期刊>Journal of Environmental Engineering >Monitoring for Spatiotemporal Estuarine Chlorophyll Using MODIS and In Situ Characteristics
【24h】

Monitoring for Spatiotemporal Estuarine Chlorophyll Using MODIS and In Situ Characteristics

机译:利用MODIS和原位特征监测时空河口叶绿素。

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

An empirical model for monitoring spatiotemporal estuarine chlorophyll concentration is proposed using Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensed data in conjunction with chlorophyll monitoring data and in situ characteristics in the mesohaline segment of the James River, Chesapeake Bay. The spatiotemporal estuarine chlorophyll monitoring model (STE Chl MM) was developed to express chlorophyll concentration with dependent variables of MODIS medium-resolution band (250 m) data and ambient water temperature in the spring (March to May) and fall (July to September). The model includes continuously monitored ambient water temperature as a transfer function representing dissolved oxygen and degree of ambient water kinetics describing fate and utilization of nutrients by the phytoplankton biomass. The STE Chl MM is comparable in performance to the conventional modeling approach that estimates chlorophyll concentration using in situ temperature and dissolved oxygen in terms of root mean square sum for error (RMSE) and R-2 (0.880-0.608 and 0.861-0.901, respectively). When high spectral, spatial, and temporal properties of MODIS imagery were joined with in situ data, the meso-and macroscale spatiotemporal characteristics of algal growth in the lowest tributary on the Chesapeake Bay were effectively identified. (C) 2015 American Society of Civil Engineers.
机译:提出了一种中度分辨率成像光谱仪(MODIS)遥感数据,结合叶绿素监测数据和切萨皮克湾詹姆斯河的中卤段的原位特征,监测时空河口叶绿素浓度的经验模型。建立时空河口叶绿素监测模型(STE Chl MM),以表达MODIS中分辨率波段(250 m)数据和春季(3月至5月)和秋季(7月至9月)环境水温的因变量来表达叶绿素浓度。 。该模型包括连续监测的环境水温作为传递函数,代表溶解氧和环境水动力学程度,描述了浮游植物生物量对营养物的命运和利用。 STE Chl MM的性能可与传统建模方法媲美,传统建模方法使用就地温度和溶解氧以均方根误差和均方根误差(RMSE)和R-2(分别为0.880-0.608和0.861-0.901)估算叶绿素浓度)。当将MODIS影像的高光谱,时空特性与原位数据结合在一起时,切萨皮克湾最低支流藻类生长的中观和时空特征得以有效识别。 (C)2015年美国土木工程师学会。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号