1a.Objectives (from AD-416)
1. Define end-user requirements for the GIS-based RUSLE2 interface and establish evaluation criteria for the final product.
2. Establish clear objectives and guidelines for use and development of the tool based on input from key agency partners.
3. Identify and evaluate existing methodologies for using high-resolution DEMs to calculate slope length and steepness, as well as determine the most appropriate aggregation of soil loss calculations across a field landscape.
4. Develop a working prototype of a GIS-based RUSLE2 template.
5. Optimize the current RUSLE2 application to handle multiple calculations.
6. Provide demonstrations for GIS-based RUSLE2 template to SWCDs statewide.
7. Provide training and support for statewide use of the GIS-based RUSLE2 template.
1b.Approach (from AD-416)
Develop a summary report of end-user requirements and agency objectives based on stakeholder meetings and interviews. Prepare a list of final evaluation criteria for the GIS-based RUSLE2 template. Prepare a report on most appropriate methodology for using DEMs to interact with RUSLE2 and most appropriate application of RUSLE2 soil loss calculation across a field landscape. Document functional requirements for a GIS-based tool for statewide application. Evaluate slope length and steepness algorithms for applying LiDAR-derived DEMs to RUSLE2 model. Prepare a beta version of GIS-based RUSLE2 for stakeholder evaluation and obtain feedback on the proposed tool. Proivde trainings for beta users on operation of GIS-based RUSLE2 template and develop a written survey tool for stakeholder evaluation as a precursor to a summary report of stakeholder evaluation results. Prepare an enhanced GIS-based RUSLE2 template based on end-user experiences and requirements.
This specific cooperative agreement supports the objectives of project 3625-13000-005-00D and focuses on the development of a Geographic Information System (GIS)-based platform for RUSLE2 (Revised University Soil Loss Equation, version 2). The incorporation of digital elevation maps (DEMs) along with soil maps as layers in a GIS platform from which RUSLE2 can be run for any field is a critical first step in improving the robustness of this type of approach. Efforts have been directed toward defining the end-user requirements for the GIS-based RUSLE2 interface and establish evaluation criteria for the final product. These were then coupled with the goal to identify and evaluate existing methodologies for using high-resolution DEMs to calculate slope length and steepness, as well as determine the most appropriate aggregation of soil loss calculations across a field landscape. These activities have focused on determining proof of concept for two proposed methodologies for determining flow path routing and slope length and steepness from the LiDAR-derived DEMs. One approach is to use a "representative hillslope" method and that has been replaced by cell-based flow pattern approach because this latter approach explicitly identifies the locations of the highest erosion areas within a field or soil polygon. There are monthly exchanges about the progress of the project and to discuss alternative approaches to increase the value of the user model.