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author:

Zeng, Jingyu (Zeng, Jingyu.) [1] | Zhou, Tao (Zhou, Tao.) [2] | Qu, Yanping (Qu, Yanping.) [3] | Bento, Virgilio A. (Bento, Virgilio A..) [4] | Qi, Junyu (Qi, Junyu.) [5] | Xu, Yixin (Xu, Yixin.) [6] | Li, Ying (Li, Ying.) [7] | Wang, Qianfeng (Wang, Qianfeng.) [8] (Scholars:王前锋)

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Scopus SCIE

Abstract:

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.

Keyword:

Community:

  • [ 1 ] [Zeng, Jingyu]Beijing Normal Univ, Key Lab Environm Change & Nat Disasters, Minist Educ, Beijing 100875, Peoples R China
  • [ 2 ] [Zhou, Tao]Beijing Normal Univ, Key Lab Environm Change & Nat Disasters, Minist Educ, Beijing 100875, Peoples R China
  • [ 3 ] [Xu, Yixin]Beijing Normal Univ, Key Lab Environm Change & Nat Disasters, Minist Educ, Beijing 100875, Peoples R China
  • [ 4 ] [Li, Ying]Beijing Normal Univ, Key Lab Environm Change & Nat Disasters, Minist Educ, Beijing 100875, Peoples R China
  • [ 5 ] [Zeng, Jingyu]Fuzhou Univ, Coll Environm & Safety Engn, Fuzhou 350116, Peoples R China
  • [ 6 ] [Wang, Qianfeng]Fuzhou Univ, Coll Environm & Safety Engn, Fuzhou 350116, Peoples R China
  • [ 7 ] [Qu, Yanping]China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China
  • [ 8 ] [Bento, Virgilio A.]Univ Lisbon, Fac Ciencias, Inst Dom Luiz, P-1749016 Lisbon, Portugal
  • [ 9 ] [Qi, Junyu]Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, 5825 Univ Res Ct, College Pk, MD 20740 USA
  • [ 10 ] [Li, Ying]Zhejiang Inst Meteorol Sci, Hangzhou 310008, Peoples R China

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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

  • 2024-11
  • 2024-9
  • 2024-5

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

Online/Total:138/9987658
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