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Use of MODIS satellite images to investigate the chlorophyll-a concentrations in Lake Okeechobee, Florida

机译:利用MODIS卫星图像调查佛罗里达州奥基乔比湖中的叶绿素a浓度

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摘要

Lake Okeechobee, Florida is the largest freshwater lake in the southeastern U.S. It is a key component in the hydrologic system of south Florida providing water supply for agriculture, the environment, and urban areas Excessive phosphorus loads, from the Okeechobee watershed over the last few decades have led to increased eutrophication of this. Much of the excess phosphorus has been sequestered into the sediments. Sediment water interactions, including diffusive fluxes and sediment resuspension are a source of available phosphorus for phytoplankton. As a consequence, nutrient-enriched lake water have led to phytoplankton blooms. These blooms are quantified by measurement of chlorophyll-a concentrations. While the in-situ water quality monitoring is time-consuming and costly, multispectral remote sensing sensors onboard satellites can detect chlorophyll-a contained in most phytoplankton efficiently. The objective of this study is to demonstrate the use of MODIS/Terra Surface Reflectance 8-Day images to estimate the chlorophyll-a concentrations in the Lake Okeechobee. Using the integrated genetic programming and multiple linear regression models helps the information retrieval for spatial mapping of chlorophyll-a concentrations.
机译:佛罗里达州的奥基乔比湖是美国东南部最大的淡水湖,它是南佛罗里达州水文系统的重要组成部分,为农业,环境和城市地区提供水源,过去几十年来奥基乔比流域的磷负荷过高导致了富营养化。大量的过量磷已被隔离到沉积物中。沉积物与水的相互作用,包括扩散通量和沉积物的再悬浮,是浮游植物可用磷的来源。结果,富含营养的湖水导致浮游植物大量繁殖。通过测量叶绿素-a的浓度来量化这些开花。虽然现场水质监测既费时又昂贵,但卫星上的多光谱遥感传感器可以有效地检测大多数浮游植物中所含的叶绿素a。这项研究的目的是证明使用MODIS / Terra表面反射8天图像来估计奥基乔比湖中的叶绿素a浓度。使用集成的遗传程序设计和多个线性回归模型有助于信息检索,以进行叶绿素a浓度的空间作图。

著录项

  • 来源
  • 会议地点 San Diego CA(US)
  • 作者单位

    Civil, Environmental, and Construction Engineering Department, University of Central Florida, Orlando FL, USA;

    Civil, Environmental, and Construction Engineering Department, University of Central Florida, Orlando FL, USA;

    Civil, Environmental, and Construction Engineering Department, University of Central Florida, Orlando FL, USA;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 遥感技术;
  • 关键词

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