报告人: Dr. Darren Ghent, PI on the ESA LST CCI Project. Department of Physics and Astronomy, University of Leicester, UK
时 间: 2019年11月14日，上午10:00-12:00
地 点: 中国农业大学威尼斯手机客户端网站大楼539学术报告室
联系人: 王鹏新 教授
主 办: 农业农村部农业灾害遥感重点实验室
报告内容简介: Land surface temperature (LST) is the radiative skin temperature of the land and is derived from solar radiation. Instruments onboard Earth Observation satellites determine LST from top-of-atmosphere (TOA) radiances at microwave and thermal infrared wavelengths by applying a radiative transfer equation. This combines the upwelling radiance emitted by the ground, the upwelling radiance emitted by the atmosphere, and the down-welling radiance emitted by the atmosphere and reflected by the ground.
LST retrieval accuracy can be challenging as a result of emissivity variability and atmospheric effects. Surface emissivities can be highly variable owing to the heterogeneity of the land; a problem which is amplified in regions of high topographic variance or for larger viewing angles. Atmospheric effects caused by the presence of aerosols and by water vapour absorption can give a bias to the underlying LST. If not accounted for, atmospheric effects and emissivity variability can result in retrieval errors of several degrees.
报告人简介: Dr. Darren Ghent has over 10 years of experience working with land surface temperature data, from its retrieval to its exploitation. Indeed, his research interests include the interactions between the land-surface and the atmosphere in terms of the surface energy balance, carbon and water cycles. He is particularly concerned with validating land-surface temperature, both the products from Earth Observation and the simulations of land-surface models; developing improved land surface temperature algorithms, in particular being responsible for the algorithms for ESA instruments - AATSR and SLSTR; exploitation of land surface temperature in scientific and commercial applications; modelling the biogeochemical processes of terrestrial ecosystems; and climate feedbacks on various spatial and temporal scales. To improve the modelling of these processes, he has been involved in constraining land-surface.
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