莱斯特大学CENTA funded - High resolution thermal data for climate resilience in food security申请条件要求-申请方
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莱斯特大学
PhD直招介绍
About the Project
Project highlights
Develop new algorithm approaches to transform thermal satellite remote sensing for crop monitoring
Confront the challenge of big data to explore changes in the temperature and composition of the Earth’s surface
Opportunity to work on design and development of upcoming European operational satellite mission with world leading industry in space/aeronautics and data economy
Overview
Food security has always been a major strategic issue related to the global economic development, social stability and national independence. The agricultural sectors in countries such as China and India are vast in terms of scale and production, operating across different climate zones serving heterogeneous population distributions. There are many challenges as population increases; with a need to secure the food supplies that underpin sustainable economic growth and jobs for workers in rural employment sectors, and a need for robust environmental management of soil and water resources. Sitting around all of these issues is the contribution that changes to the climate may have on crop stress and yield and market models in the sector.
Ongoing research in NCEO-Leicester is utilising land surface temperature (LST) data for crop monitoring efforts with a focus on routes to impact by the generation of informative indices. Current operational infrared satellite EO sensors typically offer highly accurate LST but their spatial resolutions are of order 1 km. Some higher spatial thermal imaging capability for LST measurement is available but their limited temporal sampling and lower accuracy restricts scientific advances and uptake of applications from these missions. In particular, accurate measurement of LST at local (< 100 m) scales to resolve fields and knowledge of the composition of the Earth’s surface is lacking.
The cumulative research work of the Land Surface Temperature Group in NCEO-Leicester over a decade has been central to the European Space Agency (ESA) being able to define and implement Europe’s first, high spatial resolution, thermal infra-red mission. This mission, the Copernicus Land Surface Temperature Monitoring (LSTM) is built primarily to deliver operational agricultural services. The challenge is to develop robust approaches to truly exploit the advantages of these higher resolution missions for field-scale crop monitoring.
Methodology
This project will develop new methods to study the changing temperature of the Earth’s surface at the field scale, a need recognised to be very important by international space agencies and environmental scientists. This project will apply new mathematical approaches – optimal estimation (OE) and artificial intelligence (AI) – to retrieve LST from remote sensing platforms, and to combine with optical information, such as normalised difference vegetation indices (NDVI), to generate crop monitoring indices that can improve the interpretation of the crop conditions.
AI techniques, such as Machine Learning and neural networks have been successfully applied for big data analysis in many areas of science. Such methods have the potential to transform thermal satellite remote sensing. This project will develop a new AI method to data from current missions and new sensors, such as for LSTM, and will carry out testing of the methods on both simulations and real data from hyperspectral aircraft measurements. Once verified, the new scheme will be used to identify the performances, modelling and design of new satellite sensors.
莱斯特大学 CENTA funded - High resolution thermal data for climate resilience in food security项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
CENTA studentships are for 3.5 years and are funded by NERC CENTA and provide:
Tuition fees at UK (Home) rates*
Annual stipend, (currently set at £19.237 per year for 2024/5)
Research training support grant (RTSG)
*International applicants are welcome to apply but must be able to demonstrate they can fund the difference between UK and Overseas fees for the duration of their study. This will amount to £18,864 per year of study. (2024/5 rates)
报名方式
招生人信息
Dr Darren Ghent
邮箱：djg20@le.ac.uk
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