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Due to global warming, drought events have become more frequent, which resulted in aggravated crop failures, food shortage, larger and more energetic wildfires, and have seriously affected socio-economic development and agricultural production. In this study, a global long-term (1981-2021), high-resolution (4 km) improved vegetation health index (VHI) dataset integrating climate, vegetation and soil moisture was developed. Based on drought records from the Emergency Event Database, we compared the detection efficiency of the VHI before and after its improvement in the occurrence and scope of observed drought events. The global drought detection efficiency of the improved high-resolution VHI dataset reached values as high as 85%, which is 14% higher than the original VHI dataset. The improved VHI dataset was also more sensitive to mild droughts and more accurate regarding the extent of droughts. This improved dataset can play an important role in long-term drought monitoring but also has the potential to assess the impact of drought on the agricultural, forestry, ecological and environmental sectors.
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SCIENTIFIC DATA
ISSN: 2052-4463
Year: 2023
Issue: 1
Volume: 10
5 . 8
JCR@2023
5 . 8 0 0
JCR@2023
ESI Discipline: MULTIDISCIPLINARY;
ESI HC Threshold:42
JCR Journal Grade:1
CAS Journal Grade:2
Cited Count:
WoS CC Cited Count: 20
SCOPUS Cited Count: 45
ESI Highly Cited Papers on the List: 3 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 3
Affiliated Colleges: