SBIR Field Testing Alogorithms For The Remote Sensing of Coastal Water Quality Using Fixed-Wing Aircraft

使用固定翼飞机遥感沿海水质的 SBIR 现场测试算法

• 批准号: 9362164
• 负责人: Forrest Dierberg
• 金额: $ 6.34万
• 依托单位: DB Environmental Laboratories
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-04-01 至 1994-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9362164&HistoricalAwards=false
• 关键词: SBIR; Field; Testing; Alogorithms; Remote

9362164 DIERBERG Remote sensing is used in a large number of environmental investigations, including water quality assessments. Most of the data acquired for water quality are from satellite platforms, which contain sensors that provide images using wide bandwidths. The use of narrow, correctly positioned, spectral bands in current airborne sensing devices as well as in a new generation of sensors planned for satellites will simplify formulation of water quality algorithms. If simple, accurate, reproducible and sensitive algorithms applicable to a wide range of coastal and inland waters can be developed, then using remote sensing will become not only easier and more reliable, but also more affordable and rapid due to the reduction of data volume, increased integration times, and facilitated image analysis. The "operationalization" of remote sensing for monitoring water quality conditions will become closer to reality. In the present investigation, algorithms representing spectral energy from single bandwidths, ratios of bandwidths, and line heights found to be highly correlated with chlorophyll a, turbidity, and suspended solids for inland waters will be tested in tow coastal ecosystems, the Indian River Lagoon and Tampa Bay. It looks promising that even in the absence of precise optical characteristics for an environment, it may be possible to simulate that environment from previous ground truthing and derive fixed- wing transportable coefficients.

9362164 DIERBERG遥感用于大量的环境调查，包括水质评估。获得的大多数水质数据来自卫星平台，其中包含使用宽带提供图像的传感器。在目前的机载传感装置以及计划用于卫星的新一代传感器中使用狭窄、正确定位的光谱带将简化水质算法的制定。如果能够开发出适用于大范围沿海和内陆水域的简单、准确、可复制和敏感的算法，那么利用遥感不仅会变得更容易、更可靠，而且由于数据量的减少、集成时间的增加和图像分析的便利，也会变得更经济、更快速。遥感监测水质条件的“操作化”将更加接近现实。在目前的研究中，表示与叶绿素a、浊度和内陆水域悬浮固体高度相关的单个带宽、带宽比率和线高的光谱能量的算法将在两个沿海生态系统、印度河泻湖和坦帕湾进行测试。看起来很有希望的是，即使在没有精确的环境光学特性的情况下，也有可能从以前的地面实况模拟该环境并得出固定翼可移动系数。