SGER: Research of an Image Acquisition and Processing System for Three Dimensional Spatial Analysis of Vegetation

该项目利用了新的发展， 摄影和图像分析软件， 研究环境科学。 生态的动态 过程以及干扰的影响往往是 以植被的变化来衡量。 的传统方法 植被分析是劳动密集型的，缓慢的，因此， 它们通常局限于小规模测量。 许多 当前的研究课题（即气候变化）需要分析 虽然从太空遥感 正在提供前所未有的信息，验证卫星 缺乏具有大规模植被分析的图像。 一个新的地面方法是由一个 新墨西哥州大学的跨学科小组， 大大提高了科学家研究 环境动态跨越一系列尺度，并允许 与卫星反射率测量的综合 仪器. 新技术需要图像分析 算法的研究和开发以及新的 图像采集硬件。 由此产生的系统将提供 近地面采集立体图像， 计算机三维信息分析 工作站 反射率三维信息 目前没有任何来源的图像，但这 信息可以导致改进物种识别， 量化体积（生物量）而不仅仅是表面 地区 它代表了图像分析的一个重大进步 生态研究技术。 一个高素质的调查小组将处理 问题. 图像分析机构设施， 遥感技术非常好。 新的研究进一步 与长期生态系统的合作 以塞维利亚国家野生动物为中心的研究项目 避难所

This project takes advantage of new developments in photography and image analysis software to advance field studies in environmental science. The dynamics of ecological processes as well as impacts from disturbance often are measured by changes in vegetation. Traditional methods of vegetation analysis are labor intensive, slow, and as a result, they often are confined to small-scale measurements. Many current research topics (i.e. climate change) require analysis over very large areas, and although remote sensing from space is providing unprecedented information, validation of satellite imagery with large-scale vegetation analysis is lacking. A new, ground-based methodology has been developed by an interdisciplinary group at the University of New Mexico that is significantly increasing the ability of scientists to study environmental dynamics across a range of scales and allow integration with reflectance measurements from satellite instruments. The new technology requires image analysis algorithm research and development and the integration of new image acquisition hardware. The resulting system will provide near ground level acquisition of stereo images and detailed analysis of three dimensional information on a computer workstation. Three dimensional information from reflectance imagery is currently not available from any source, yet this information can lead to improved species identification and quantification of volumes (biomass) instead of just surface areas. It represents a major advance in image analysis technology for ecological studies. A highly qualified team of investigators will address the problem. Institutional facilities for image analysis and remote sensing are excellent. The new research is further strengthened by association with the Long-Term Ecological Research project centered on the Sevilleta National Wildlife Refuge.