报告题目：GIS, Remote sensing, and Ecosystem Dynamics research进展与应用
报 告 人： Pete Bunting 教授，英国亚伯大学地理学院地理观测与生态系统动力研究所所长
时 间：5月16日下午3:00
地 点：环境院会议室（水利馆408）
举办单位：国际合作处、环境学院、地球科学与工程学院
报告人简介：英国亚伯大学地理观测与生态系统动力研究所所长
摘要: His research is concerned with the computational processing of spatial data, primarily for the mapping of land surfaces and biophysical attributes both in terms of their current state and as they change through time using remotely sensed (terrestrial, airborne and spaceborne) and ancillary GIS data to inform policy and understand the processes of change. In particular, his research involves the development of new and automated techniques for information retrieval from image and 3D point cloud datasets.
Much of his research has been combined within a group of open source software libraries (Remote Sensing and GIS Library (RSGISLib); http://www.rsgislib.org and Sorted Pulse Data Library (SPDLib); http://www.spdlib.org) which are freely available online. Key results of this research to date have included the development of the SPD software library which is the first of its kind to support operational processing of the latest full waveform and multispectral LiDAR datasets and is already building a wide user base. Also, algorithms for the automated delineation of tree crowns from high-resolution remotely sensed data and their subsequent classification to species. While an algorithm for automated image-to-image registration of multi-modal remotely sensed data was also developed and has allowed the fusion of airborne hyperspectral and LiDAR data for the calculation of component biomass of individual trees, among other applications.
More recently work has concentrated on the application of airborne LiDAR data for the classification of vertical stand structure and texture analysis of optical data for the segmentation and classification of land surface patterns and structures. Dr Bunting has also been a key member of the team, which used optical spaceborne remote sensing data to map the vegetation habitats of Wales at a resolution of 5 m. The production of this map was through a collaboration with Environment Systems Ltd and National Resources Wales (NRW) but is considered to be the first wide scale production of a habitat (opposed to land cover) map from remotely sensed data.
