| 项目编号: | 1347092
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| 项目名称: | Open Source Tools for Processing of Raw LiDAR Observations |
| 作者: | Craig Glennie
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| 承担单位: | University of Houston
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| 批准年: | 2013
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| 开始日期: | 2014-04-01
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| 结束日期: | 2017-03-31
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| 资助金额: | USD204120
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| 资助来源: | US-NSF
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| 项目类别: | Continuing grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Geosciences - Earth Sciences
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| 英文关键词: | resource management
; open source
; high resolution lidar surface mapping
; lidar post-processing
; raw lidar observation
; open source tool
; full waveform observation
; lidar mapping
; airborne lidar
; lidar datum
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| 英文摘要: | This EAR Geoinformatics Program grant will support development of a suite of open source tools to allow users of Light detection and Ranging (LiDAR) data the ability to create point clouds and derivative products by starting at the raw LiDAR observations (i.e. range, angle, intensity, position, attitude), which is currently not possible using existing archived datasets and software. Broad objectives of this proposal are (a) to empower the researcher to exploit and tailor LiDAR post-processing to optimize data quality and meet science driven spatial and accuracy requirements and (b) to empower the scientist to focus on science questions without the need to consider time-consuming reformatting, data storage georeferencing and error estimation tasks. The developed tools would be amendable to both processing and analysis of airborne LiDAR, mobile laser scanning (MLS) observations, and static terrestrial (tripod) LiDAR data and would allow for tools to process full waveform observations. Scientific applications of high resolution LIDAR surface mapping span the fields of geomorphology, geodesy, hydrology, forestry, and resource management to name a few. The number of geoscientists employing LIDAR mapping for research is growing rapidly. A graduate student will be supported by this project and the resultant software will be distributed to users through the OpenTopography web portal and will be open source. Training with the developed tool set will be conducted through planned focused Earth science and remote sensing workshops.
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| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/97191
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| Appears in Collections: | 影响、适应和脆弱性
气候减缓与适应
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| Recommended Citation: | |
Craig Glennie. Open Source Tools for Processing of Raw LiDAR Observations. 2013-01-01.
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