Table 4 Spatial uncertainty in AGBD predictions for the study area described by estimated mean \(E(\mu )\), variance \(V[\hat{E(\mu )}]\), standard error \(\overline{{SE}}\), and relative standard error \( \% \overline{{SE}}\).
From: Aboveground biomass density maps for post-hurricane Ian forest monitoring in Florida
Year | \(\hat{{\boldsymbol{E}}{\boldsymbol{(}}{\boldsymbol{\mu }}{\boldsymbol{)}}}{\boldsymbol{(}}{\boldsymbol{Mg}}{{\boldsymbol{ha}}}^{{\boldsymbol{-}}{\bf{1}}}{\boldsymbol{)}}\) | \({\boldsymbol{V}}{\boldsymbol{[}}\hat{{\boldsymbol{E}}{\boldsymbol{(}}{\boldsymbol{\mu }}{\boldsymbol{)}}}{\boldsymbol{]}}\) | \(\overline{{\boldsymbol{SE}}}{\boldsymbol{(}}{\boldsymbol{Mg}}{{\boldsymbol{ha}}}^{{\boldsymbol{-}}{\bf{1}}}{\boldsymbol{)}}\) | \({\boldsymbol{ \% }}\overline{{\boldsymbol{SE}}}\) |
|---|---|---|---|---|
2022 | 50.0 ± 90.4 | 2042.4 | 45.2 | 90.4 |
2023 | 51.1 ± 89.6 | 2008.2 | 44.8 | 87.7 |
2024 | 58.2 ± 101.5 | 2573.1 | 50.7 | 87.1 |
