详情

Satellite Remote Sensing of Submerged Aquatic Vegetation Distribution and Status in Currituck Sound

项目名称：	Satellite Remote Sensing of Submerged Aquatic Vegetation Distribution and Status in Currituck Sound
摘要：	In coastal regions with extensive, non-linear water bodies, large scale regional macrophyte surveys are rarely done due to logistical difficulties and high costs. This study proposes to examine whether remote sensing can be used for regional monitoring of submerged aquatic vegetation (SAV) using a field study in the Currituck Sound of North Carolina. The objectives are: (1) to determine if different levels of macrophyte cover, different growth forms or specific species could be detected using the Digital Globe Quickbird, high-resolution satellite sensor, and (2) to determine if predictions of macrophyte abundance and distribution in the sound can be improved by including sediment type or measures of water clarity (Secchi disk transparency, total nitrogen, total phosphorus, or water color) in the models. Using binomial and multinomial logistic regression models, the project will develop statistically significant relationships between SAV measures and Quickbird spectral values using multinomial and binomial logit (logistical regression) models. Significant correlations between water quality characteristics and the Quickbird spectral values within pelagic zones of the sound will be used to adjust model predictions. Model validation will be developed using SAV and water quality data not included in the SAV abundance and distribution model. The research products from this study will provide a distribution map of SAV distribution and status within the Currituck Sound of North Carolina. North Carolina Department of Transportation (NCDOT) will use the model results of this study to assess impacts to SAV from proposed projects in an effort to determine appropriate avoidance, minimization, and compensatory mitigation alternatives. Additionally, models results will reduce permit processing time, and reduce the potential for unintentional violations. The model database that will be developed in this study will further serve as a baseline database, compiled in a global information systwm (GIS) format, which is easily updated as future data becomes available. New model scenarios will have the advantage of continually improved and updated data.
状态：	Completed
资金：	238278.00
资助组织：	North Carolina Department of Transportation
项目负责人：	Kirby, John W
执行机构：	North Carolina State University, Raleigh
开始时间：	20090816
实际结束时间：	20111215
主题领域：	Planning and Forecasting；I15: Environment