globalchange  > 影响、适应和脆弱性
项目编号: 1348704
项目名称:
Monitoring geomorphologic processes from 3-D correlation of optical images and LiDAR data
作者: Jean-Philippe Avouac
承担单位: California Institute of Technology
批准年: 2013
开始日期: 2014-08-01
结束日期: 2015-07-31
资助金额: USD100007
资助来源: US-NSF
项目类别: Standard Grant
国家: US
语种: 英语
特色学科分类: Geosciences - Earth Sciences
英文关键词: datum ; key observational datum ; aeolian process ; high-resolution optical image ; geomorphic process ; dimension optical image ; lidar datum
英文摘要: The rapidly increasing volume of remote sensing data should, in principle, allow accurate monitoring Earth surface changes and help gather objective information about the impact of climate on landscape evolution. However, methods to exploit these data are lagging behind. This project aims to address this challenge through (1) development of a new method to co-register in three dimensions optical images (from satellites and aircraft) with LiDAR (Light Detection And Ranging) data; and (2) test proof-of-concept applications to monitor sand dune dynamics.

The team proposes to develop new methods to allow 3-D tracking of Earth surface changes due to geomorphic processes from high-resolution optical images and LiDAR data. The methods will be implemented as new tools in the COSI-corr software package. These techniques would provide key observational data to study aeolian processes (sand transport and dune dynamics in particular). The project includes application to at least one test case to demonstrate the performance of the proposed methods.
资源类型: 项目
标识符: http://119.78.100.158/handle/2HF3EXSE/96252
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

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Recommended Citation:
Jean-Philippe Avouac. Monitoring geomorphologic processes from 3-D correlation of optical images and LiDAR data. 2013-01-01.
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