1、Valuing the Trees Rather Than The Forest+Jim OHehir,Anthony Finn,Spencer OKeeffeForestry Australia-Forest Valuation Summit 30-31 March 2026AI,machine learning&predictive modelling in forest asset appraisalAI,machine learning&predictive modelling in forest asset appraisal:Resource Assessment&Modellin
2、g 2026+Find&characterise needles in haystacks lots of AI&MLManaging continuous data,sensors,algorithms&systems updatesOverwhelming data quantitiesSystems so complex no one person understands them allConsistency between systems&new components New components carbon,environment,water,natural capitalCom
3、pliance,regulation&investor confidenceOutputs Growing Stock Yield Predictions by Product FinancialsManagement Options Rotation Length Thinning&fertiliser regimes Area gains/losses Breeding UtilisationSpatial DataComputerisation 1960sGPS&GIS late 1980sRemote sensing 1980s+Stand HistoryStand Record 19
4、70sGIS late 1980sRemote sensing 1980s+ProductivityGIS late 1980sLiDAR late 1990sYield Regulation Systems Computerisation 1960sGrowth and Yield Models Computerisation 1960sManagement ObjectivesInventoryComputerisation 1970sLiDAR late 2000sSouth Australian Resource Management Systems Ongoing Computeri
5、sation/DigitisationOHehir,J.F.(2010)Future Visions:Opportunities,Current and Future,for Precision Forestry Application in South Australia.Precision Forestry Symposium,13 March 2010,Stellenbosch,South Africa.Inventory:volume by size classInventory:volume by size class by qualityFertiliser decision su
6、pportSite productivity assessmentBuildingDTMHydrological DTM applicationsOperationalR&DHardEasyLaterNowRombouts circa 2008 South Australian PlanThe digital forest the digital tree-theres been a big shift If more granularity is sought these problems need resolution:Forests:Position,geopositionPoint c