## 6 Conclusions  
Results from this study demonstrate that images acquired from the high-spatial-resolution Planet Doves database may be used to derive tree parameters such as stand density and DBH using simple vegetation indices. It also shows that burn severity mapping may be conducted using Planet images in the complex WUI area. Using a simple economic model that evaluates the annual cost of a tree in conjunction with Planet derived tree-parameters and burn severity maps, we were able to estimate spatially distributed and total economic loss to the urban forest in the WUI of Haifa caused by the fire of 2016. This methodology may be applied elsewhere, enhancing pre- and post-fire monitoring in WUI areas, for a better allocation priority of economic resources and specific treatment actions directed towards minimizing economic losses due to potential future WUI fires. Conceptualization, Y.M., I.M.L. and D.H.; Data curation, Y.M. ; Formal analysis, Y.M. and A.T.; Investigation, Y.M. and D.H.; Methodology, Y.M., A.T., N.T. and D.H.; Project administration, I.M.L. ; Resources, N.T. ; Software, Y.M. ; Supervision, I.M.L., S.B. and D.H.; Validation, Y.M. and N.T. ; Visualization, Y.M. and D.H.; Writing--original draft, Y.M., I.M.L., S.B., A.T., N.T. and D.H.; Writing--Review & Editing, Y.M., I.M.L., S.B. and D.H. This research received no external funding. [PERSON] acknowledges support provided by the Ministry of Science and Technology of Israel through an Eshkol scholarship. The authors thank the Hanoch Borger Agronomy Company for providing information acquired during the field surveys in Haifa; [PERSON], the director of the Department of Flowers and Plant Engineering in the Israel Ministry of Agriculture and Rural Development, for advises on how to use the _i-Tree_ model in Israel; and Planet Labs for making this valuable data from Planet Doves satellites available for this study, as part of Planet's Education and Research Program. The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results. **Table A1. **_Cont._ \begin{tabular}{c c c c c} \hline
**Tree Species** & **Trees per Plot** & **From Total (\%)** & **DBH (cm)** & **Density (10\({}^{3}\) trees ha\({}^{-1}\))** \\ \hline _Rhamnus lycoides_ L. & 3 & 0.5 & 9.0 & 22.9 \\ _Ulmus minor_ Mill. & 5 & 0.8 & 13.4 & 37.0 \\ _Washington robusta [PERSON]_ & 2 & 0.3 & 32.5 & 14.9 \\ \hline _Ailanthus altissima_ (Mill.) [PERSON] & 7 & 3.1 & 12.4 & 91.0 \\ _Casaurina equisefolia_ L. & 4 & 1.8 & 53.8 & 52.0 \\ _Ceratonia siliqua_ L. & 10 & 4.4 & 24.4 & 12.9 \\ _Cupressus semipervirens_ L. & 4 & 1.8 & 19.5 & 52.0 \\ _Laurus nobilis_ L. & 10 & 4.4 & 20.3 & 12.9 \\ _Olea europaea_ L. & 2 & 0.9 & 15.0 & 26.0 \\ _Pinus canariensis_ [PERSON]. [PERSON] & 1 & 0.4 & 35.0 & 13.0 \\ _Pinus halepensis_ Mill. & 87 & 38.5 & 23.1 & 1129.9 \\ _Pinus pinea_ L. & 48 & 21.2 & 24.4 & 623.4 \\ _Pistacia palaestina_ [PERSON]. & 1 & 0.4 & 32.0 & 13.0 \\ _Quercus calliprinos_ [PERSON]. & 51 & 22.6 & 14.4 & 624.2 \\ _Rhamnus alternus_ L. & 1 & 0.4 & 12.0 & 13.0 \\ \hline \end{tabular}   
Trees per plot refers to the number of trees in each 100 m\({}^{2}\) plot; Percentage from total is % of trees from total number of trees in all plots; DBH is the mean stem diameter at breast height in cm; Density is the tree stand density in 10\({}^{3}\) trees per ha. **Figure A1. ** Tree age distribution in **(a)** WLD and **(b)** UR domains. Figure 17: Maps of low-to-high estimates of stand density (trees ha\({}^{-1}\)) in the WUI derived from Planet: using the calibration equation minus the MAE (upper map); using only the calibration equation (middle map); and using the calibration equation plus the MAE (bottom map). Figure A4: Maps of woody biomass loss derived using different assigned levels of consumed biomass for low, moderate and high burn severity from [PERSON] et al. [57].