Methodology
Authored By: C. A. Collins, D. L. Evans, K. L. Bell, P. A. Glass
The methodology of this case study include utilization of Remotely Sensed Data, Land Cover and Type Thematic Data, and Ancillary Storm Data. Independent and dependent variable assignment is discussed in Model Creation.
Subsections found in Methodology
- Remotely Sensed Data : Acquiring, preprocessing, and transforming remotely sensed data is reviewed.
- Land Cover and Type Thematic Data : The creation of thematic data for use by MIFI in a statewide forest inventory, per the inventory's procedural pilot study, was outlined and resulted in forest age and type thematic layers.
- Ancillary Storm Data : Four dataset types were obtained from the internet for use in this study as storm attribute layers.
- Model Creation : Independent and dependent variable assignment is discussed.
Encyclopedia ID: p3519
