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)...
Saved in:
| 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
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Data Sheet 1_Integrating MODIS-derived indices for eucalyptus stand volume estimation: an evaluation of MODIS gross primary productivity.pdf
by: Manizheh Rajab Pourrahmati (21356402)
Published: (2025) -
<b>Data used in MSDI</b>
by: Ke Meng (22337968)
Published: (2025) -
Embedded physical constraints in machine learning to enhance vegetation phenology prediction
by: Mengying Cao (13504216)
Published: (2024) -
The global dryland lake storage (GDLS) dataset
by: Gang Zhao (18368925)
Published: (2025) -
Dataset for “Satellite-Based Aquatic Plant Phenology: Quantifying Thermal Influences on Vegetation Dynamics in the Upo Wetland, South Korea (2022–2024)”
by: Chang-Su Lee (22616111)
Published: (2025)