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º«¹úÊ×¶û¹úÁ¢´óѧũҵÓëÉúÃü¿ÆÑ§Ñ§Ôº Youngryel Ryu (ryuyr77@gmail.com) ¿ÎÌâ×éÕÐÆ¸ È«ÇòÖ²±»ÓëÉú̬ң¸ÐÏà¹Ø·½Ïò²©Ê¿ºó2Ãû£¬×îºÃ¾ßÓнµØÉú̬ϵͳ̼ˮͨÁ¿µÈÑо¿¾Ñé¡£ PIÈ˺Ünice£¬²¢ÖÂÁ¦ÓÚ´òÔì¹ú¼Ê»¯µÄÑо¿ÍŶӣ¬¿ÎÌâ×é·ÕΧºÜºÃ¡£Ñ§Ð£×øÂäÔÚ»·¾³ÓÅÃÀµÄ¹ÚÔÀɽ£¬²¢Ìṩ¸ßÐÔ¼Û±ÈÈ˲Ź«Ô¢£¬»¶ÓС»ï°éÃÇÁªÏµ×Éѯ¡£ ¾ßÌåÕÐÆ¸ÐÅÏ¢¼ûʵÑéÊÒÍøÕ¾£ºhttps://www.environment.snu.ac.kr/postdoc-global-vegetation ְλÃèÊö£º 2 postdoc positions for global remote sensing of vegetation We are seeking two postdoctoral fellows for global remote sensing of vegetation. Postdoc 1: Generating a long-term, consistent vegetation data As a part of LEMONTREE consortium (https://research.reading.ac.uk/lemontree/), this postdoc will develop a long-term (1980s-now), consistent (orbit drift correction etc) vegetation records (NDVI, fPAR, LAI, NIRv, SIF, etc.) by merging multiple satellite data and machine learning. The generated data will be used as forcing and/or benchmark data for LSM which will be developed in the LEMONTREE consortium. SNU and Columbia (Pierre Gentine group) take the lead in remote sensing part in the consortium, so the postdoc will be required in taking the leadership in the collaboration. Postdoc 2: Understanding interannual variability and trends of global land surface fluxes Our group has been making satellite based long-term land surface flux [radiation (SW, PAR, diffuse PAR), energy (Rnet, H, LE), water (ET), and carbon (GPP, RECO, NEE)] maps. The postdoc will investigate interannual variability and trends of the coupled fluxes and states (e.g. LUE, CUE, WUE) concurrently with independent datasets such as FLUXNET, LSMs , atmospheric inversion and other RS datasets. Close collaboration with Posdoc1 and external collaborators will be required. |
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