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

Submerged Aquatic Vegetation (SAV) is an important component in any estuarine ecosystem. As such, it is regulated by federal and state agencies as a jurisdictional resource, where impacts to SAV are compensated through mitigation. Historically, traditional detection methodologies have been proven to be ineffective or inappropriate for SAV mitigation over very large areas. These tasks are further complicated in that the location and density of SAV can change from year to year depending on variances in weather and water quality. Satellite remote sensing holds great promise for providing a labor and cost-effective means of monitoring and quantifying SAV distribution. For this analysis, sensor specific models based on multinomial logit procedures proved to be the best approach for predicting SAV presence or absence. No models could be developed for low distribution occurrence categories due to a low ratio of events to non-events. Statistical automated selection methods were developed to produce the final models we selected for each sensor. The use of the automated best-subsets method allowed for exploration of a number of potential candidate models based on the number of variables input in the model. The automated stepwise selection method led to the final, most reasonable model as decided upon in the best-subset procedure. For a variable to enter into or remain in the model, a p-value of <0.01 was necessary. A model was considered fit if the Hosmer and Lemeshow test yielded an insignificant difference in groups (p>0.05). Sensor specific models were developed for both the Quickbird and Worldview-II sensors, however LANDSAT 5 specific models were inconclusive largely due to quality of the data.


  • English

Media Info

  • Media Type: Web
  • Edition: Final Report
  • Features: Figures; Maps; References; Tables;
  • Pagination: 78p

Subject/Index Terms

Filing Info

  • Accession Number: 01482134
  • Record Type: Publication
  • Report/Paper Numbers: FHWA/NC/2010-14
  • Contract Numbers: 2010-14
  • Created Date: May 22 2013 1:19PM