ABI Development: Forest3D - an open source platform for lidar applications in forestry

ABI 开发：Forest3D - 林业激光雷达应用的开源平台

• 批准号: 1356077
• 负责人: Shawn Newsam
• 金额: $ 26.59万
• 依托单位: University of California - Merced
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1356077&HistoricalAwards=false
• 关键词: ABI; Development; Forest3D; open; source

The University of California Merced is awarded a grant to develop an integrated software platform for LiDAR data analysis in forest research. Light Detection and Ranging (LiDAR) is an active remote sensing technology that measures the properties of scattered light to find the range of a distant object. Due to its ability to generate 3-dimensional (3D) data with high spatial resolution and accuracy, LiDAR technology is increasingly being used to obtain individual tree properties, measure forest biophysical parameters, and reconstruct virtual forests. Despite the increasing availability of LiDAR data, however, there are few platforms that allow forestry managers to fully explore this rich 3D data and seamlessly extract forest parameters. The platform provides the following functionality: data management and visualization, point cloud filtering, digital model generation, forest metrics calculation, regression analysis, individual tree segmentation, forest biophysical parameter extraction, and forest visualization. The platform will enable forestry managers to easily manipulate LiDAR data and extract a range of forest parameters of interest.The broader impacts of this research are threefold. First, it will help forest managers to better manage our precious natural resources and make more informed conservation decisions. Second, the platform will enable ecosystem scientists more broadly to extract 3D vegetation structure parameters from the LiDAR data, and thus advance the understanding of ecosystem patterns and processes. Third, this project will support education and research at the University of California, Merced which is a Hispanic Serving Institution. The PIs will actively train and recruit underrepresented students, and promote the use of LiDAR technology and spatial thinking in decision making processes for the local community, state, and federal agencies.

加利福尼亚大学默塞德大学获得了一项赠款，以开发一个集成的软件平台，用于森林研究中的激光雷达数据分析。光检测和范围（LIDAR）是一种活跃的遥感技术，可测量散射光的特性，以找到远处的物体的范围。由于它具有高空间分辨率和准确性生成3维（3D）数据的能力，LiDAR技术越来越多地用于获得单个树的特性，测量森林生物物理参数并重建虚拟森林。尽管LiDAR数据的可用性增加了，但是很少有平台使林业经理能够充分探索这种丰富的3D数据并无缝提取森林参数。该平台提供以下功能：数据管理和可视化，点云过滤，数字模型生成，森林指标计算，回归分析，单个树木分割，森林生物物理参数提取和森林可视化。该平台将使林业经理能够轻松地操纵LiDar数据并提取一系列感兴趣的森林参数。这项研究的更广泛影响是三倍。首先，它将帮助森林经理更好地管理我们宝贵的自然资源并做出更明智的保护决策。其次，该平台将使生态系统科学家更广泛地从LIDAR数据中提取3D植被结构参数，从而提高对生态系统模式和过程的理解。第三，该项目将支持加利福尼亚大学的教育和研究，这是西班牙裔服务机构。 PI将积极培训和招募代表性不足的学生，并在当地社区，州和联邦机构的决策过程中促进LIDAR技术和空间思维的使用。