Evaluating watershed-based optimized decision support framework for conservation practice placement in the Plum Creek Minnesota

This study develops an integrated decision support framework to site conservation placement opportunities at the field-scale using LiDAR-hydro-conditioned DEM and other secondary data. Using python coding, this framework integrates three robust models namely Prioritize, Target and Measure Application (PTMApp), Agricultural Conservation Planning Framework (ACPF) and Hydrological Simulation Program FORTRAN-Scenario Application Manager (HSPF-SAM).

Tags: Minnesota, PTMApp