Global S&T Development Trend Analysis Platform of Resources and Environment
DLR Earth observer Xiaoxiang Zhu wins prize for her achievements | |
admin | |
2018-09-04 | |
发布年 | 2018 |
语种 | 英语 |
国家 | 德国 |
领域 | 地球科学 |
正文(英文) | ![]()
Professor Xiaoxiang Zhu of DLR’s Earth Observation Centre in Oberpfaffenhofen
Xiaoxiang Zhu works at the DLR Earth Observation Center in Oberpfaffenhofen, where she heads the EO Data Science department at the Remote Sensing Technology Institute. Among other things, she is researching the linking of satellite Earth observation data with social media data. Credit: ©TU München. ![]()
3D LoD1 model
First impression of the global 3D urban LOD1 models: Munich city reconstructed using only five TanDEM-X acquisitions. The building footprints have been reconstructed from optical data, and the building heights (colour) from the TomoSAR point cloud. Credit: ©Xiaoxiang Zhu, DLR/TU München. ![]()
Project So2Sat
The ERC Project So2Sat in a nutshell. To better understand global urbanisation, together with her team, Xiaoxiang Zhu combines Big Earth Data from satellite and social media to derive a first and unique global and consistent 3D/4D spatial data set on the urban morphology. Credit: ©Xiaoxiang Zhu, DLR/TU München.
Xiaoxiang Zhu of the Remote Sensing Technology Institute at the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) has been awarded the 30,000 euro Leopoldina Early Career Award 2018. The German Academy of Sciences Leopoldina honours her for her outstanding achievements in satellite-based Earth observation, focused on mapping worldwide urbanisation and assessing natural hazards. As part of her research, the DLR scientist maps cities using satellite-based Earth observation. Climate change and urbanisation are among the most severe challenges faced by our planet. Satellite data is evaluated in order to track such developments. Zhu has developed new radar techniques and algorithms for this purpose, and supplements this data with information from social networks. In order to analyse large quantities of data from such a vast array of sources, Zhu uses machine learning with deep neural networks to automatically detect and evaluate images. This work has made Zhu a pioneer in the field of deep learning applied to Earth observation. Zhu will be presented with the Early Career Award 2018 at the Leopoldina annual assembly, which will take place in Halle (Saale) on 21 September 2018. The award is sponsored by the Commerzbank Foundation.
|
URL | 查看原文 |
来源平台 | German Aerosapce Center |
文献类型 | 新闻 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/106780 |
专题 | 地球科学 |
推荐引用方式 GB/T 7714 | admin. DLR Earth observer Xiaoxiang Zhu wins prize for her achievements. 2018. |
条目包含的文件 | 条目无相关文件。 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
查看访问统计 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[admin]的文章 |
百度学术 |
百度学术中相似的文章 |
[admin]的文章 |
必应学术 |
必应学术中相似的文章 |
[admin]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论