Land surface phenology derived from normalized difference vegetation index (NDVI) at global FLUXNET sites

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• 作者：Chaoyang Wu<sup>asup><sup> ; sup><sup>wucy@igsnrr.ac.cnsup> ; Dailiang Peng<sup>bsup><sup> ; sup><sup>pengdl@radi.ac.cnsup> ; Kamel Soudani<sup>csup> ; Lukas Siebicke<sup>dsup> ; Christopher M. Gough<sup>esup> ; M. Altaf Arain<sup>fsup> ; Gil Bohrer<sup>gsup> ; Peter M. Lafleur<sup>hsup> ; Matthias Peichl<sup>isup> ; Alemu Gonsamo<sup>jsup> ; Shiguang Xu<sup>ksup> ; Bin Fang<sup>lsup> ; Quansheng Ge<sup>asup>
• 关键词：Phenology ; SOS/EOS ; Remote sensing ; NDVI ; MODIS ; SPOT-VGT ; Forest
• 刊名：Agricultural and Forest Meteorology
• 出版年：2017
• 出版时间：15 February 2017
• 年：2017
• 卷：233
• 期：Complete
• 页码：171-182
• 全文大小：4345 K
• 卷排序：233

文摘

NDVI-derived phenology (SOS and EOS) was tested at 60 FLUXNET sites globally. NDVI-derived phenology showed varied predictive strength among plant functional types. Different fitting methods produced significant different phenology. EOS was more difficult to simulate than for SOS. Rigorous validation should be conducted before interpreting regional phenology change.