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9 - Babak Safa - Satellite-based water productivity
Manage episode 296332848 series 2794775
内容由Daugherty Water for Food Global Institute at the University of Nebraska and Daugherty Water for Food Global Institute提供。所有播客内容（包括剧集、图形和播客描述）均由 Daugherty Water for Food Global Institute at the University of Nebraska and Daugherty Water for Food Global Institute 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
Babak Safa joined the Water for Food Global Institute in July 2016. He specializes in agricultural meteorology, micro-meteorology and vegetation-atmosphere interaction. Safa analyzes eddy covariance flux data from installed systems to support remote sensing based model verification and water productivity estimates for several agricultural and natural ecosystems and projects around the world. He works with partnering researchers at LI-COR Biogeosciences, USDA-ARS and University of Nebraska-Lincoln. Safa also supports satellite based water productivity estimates in Nebraska and other countries using satellite based remote sensing models. Additionally, he helps train graduate students and postdoctoral scholars in satellite image processing methods, flux data processing and micrometeorological methods.
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