Enhancing Conservation Management at Prairie Fork Creek Conservation Area Through the Use of Precision Remote Sensing and Integrated Modeling

Principal Investigators: Dr. Micheal Sunde and Dr. David Daimond

Institution and/or Affiliation: University of Missouri

 

Project Description In this study, we propose to utilize drone-based LiDAR, along with satellite imagery, and field surveys to map vegetation characteristics and surface topography at high-resolution for the entirety of PFCA. The proposed work will broadly enhance and support ongoing research, education, and management efforts in PFCA in multiple ways. A non-exhaustive list of examples includes: 1) precision LiDAR-derived surface models will provide a basis for accurate hydrologic modeling, derivation of local hydrography, and baseline conditions for future soil erosion studies, 2) precision canopy models derived from LiDAR and multispectral imagery can support hydrological models, as well as inform natural community restoration and reconstruction efforts, 3) delineation and detection of invasive species presence/risk can aid in suppression efforts, and 4) mapping results/products can be used to develop high-quality teaching and educational materials, and can be used by researchers performing other studies in PFCA.