Exploration and Evaluation of High-Resolution Imagery for Environmental Assessment
项目名称: Exploration and Evaluation of High-Resolution Imagery for Environmental Assessment
摘要: The goal of this project is to assess potential and develop protocols for the use of high-resolution LiDAR and multi-spectral imagery to evaluate environmental characteristics of Iowa DOT (DOT) project areas. Specifically, the research team will evaluate how LiDAR and multi-spectral imagery can support the assessment of design alternatives, and if these data could help DOT staff select alternatives earlier and with less fieldwork required. In addition to capturing normal land survey and engineering data concurrently, which is invaluable to the design and project development process, the team will augment this data with high-resolution remotely obtained data. This will allow the team to assess the extent to which the following can be completed using such imagery: (a) wetland spatial extent and vegetation characterization; (b) stream channel morphology determination (depth, width, center-line location); and (c) tree assessment (tree stand density and health, individual tree heights, diameter and health). In addition to land survey data for engineering purposes, the DOT also believes this remote sensed data (in the form of high resolution multi-spectral orthoimagery and LiDAR) will provide ancillary benefit that will allow potential threatened and endangered species habitat to be identified early as well as an Archaeological Landform and Architectural Building/Setting Assessment to be investigated further through correlation of field collected data. While these additional assessments are not part of this proposal, the images and data gathered in this project will be available for future investigation. Current DOT methods for environmental assessment require a significant amount of manual and on-site work, driving up the costs and time associated with these phases of projects. This project will determine what savings might be realized through use of high-resolution imagery and what the break-even point for this type of data collection might be in terms of the size of the study area. Specifically, the team intends to evaluate the use of three types of imagery at approximately a 15-50 cm spatial resolution: standard (near infrared) LiDAR elevation and terrain data, multi spectral color (blue, green, red, and near infrared) reflectance data, and narrow-band green LiDAR imagery which penetrates into water surfaces and gives information relevant to topography under shallow water.
状态: Active
资金: 199979
资助组织: Iowa Department of Transportation
管理组织: Iowa State University, Ames
项目负责人: Hofer, Brad
执行机构: Iowa State University, Ames
主要研究人员: Kaleita-Forbes, Amy Leigh
开始时间: 20170815
预计完成日期: 20200731
实际结束时间: 0
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