Methods
Authored By: K. Pierce, K. Brewer, J. Ohmann
Subsections found in Methods include synopses of the study area, moderate resolution predictor data, the Gradient Nearest Neighbor (GNN) method of predictive vegetation mapping, and model evaluation and accuracy assessment.
Subsections found in Methods
- The Study Area : Three western regions covering temperate steppe, coastal forest, and Mediterranean ecosystems were mapped using GNN imputation for a Joint Fire Sciences Program study.
- Moderate Resolution Predictor Data : Beginning in 2003, RSAC, in cooperation with the FIA remote sensing band, developed a national predictors database to support FIA national mapping efforts.
- The Gradient Nearest Neighbor (GNN) Method of Predictive Vegetation Mapping : Imputation is a process in which values are assigned to unmeasured locations from either measured values or a statistical summary of a few selected measured values such as a mean.
- Model Evaluation and Accuracy Assessment : To evaluate the results of the 30-m study compared with the 250-m study results, two primary approaches were used.
Encyclopedia ID: p3447
