Global dryland phenology dataset (GDPD)

<p dir="ltr">The global dryland phenology dataset (GDPD) provides phenological metrics of global dryland at 500 meters spatial resolution and annual time step from 2001 to 2019. The phenological metrics are derived from time series of the daily 500-m Enhanced Vegetation Index (EVI2)...

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Bibliographic Details
Main Author: Yuqi Dong (12200336) (author)
Other Authors: Yu Zhou (19836984) (author), Li Zhang (12200345) (author), Feng Tian (5923115) (author), Qiaoyun Xie (19794591) (author), Yiyang Chen (19825485) (author), Linlin Ruan (19532235) (author), Bo Zhang (19825486) (author)
Published: 2025
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Summary:<p dir="ltr">The global dryland phenology dataset (GDPD) provides phenological metrics of global dryland at 500 meters spatial resolution and annual time step from 2001 to 2019. The phenological metrics are derived from time series of the daily 500-m Enhanced Vegetation Index (EVI2) derived from MODIS Nadir Bidirectional Reflectance Distribution Function Adjusted Reflectance. There are up to two growing seasons per year that can be retrieved.</p><p dir="ltr">Abbreviations for phenological metrics:</p><ul><li>SOS: the start of the growing season</li><li>EOS: the end of the growing season</li></ul><p dir="ltr">Any questions about this dataset can be corresponded to Yu Zhou (zhouy.work@gmail.com) and Li Zhang (zhangli@aircas.ac.cn)</p>