Arid
DOI10.3390/rs12233869
Spatio-Temporal Patterns of Drought and Impact on Vegetation in North and West Africa Based on Multi-Satellite Data
Henchiri, Malak; Liu, Qi; Essifi, Bouajila; Javed, Tehseen; Zhang, Sha; Bai, Yun; Zhang, Jiahua
通讯作者Zhang, JH (corresponding author), Qingdao Univ, Remote Sensing Informat & Digital Earth Ctr, Sch Comp Sci & Technol, Qingdao 266071, Peoples R China. ; Zhang, JH (corresponding author), Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China.
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2020
卷号12期号:23
英文摘要Studying the significant impacts of drought on vegetation is crucial to understand its dynamics and interrelationships with precipitation, soil moisture, and temperature. In North and West Africa regions, the effects of drought on vegetation have not been clearly stated. Therefore, the present study aims to bring out the drought fluctuations within various types of Land Cover (LC) (Grasslands, Croplands, Savannas, and Forest) in North and West Africa regions. The drought characteristics were evaluated by analyzing the monthly Self-Calibrating Palmer Drought Severity Index (scPDSI) in different timescale from 2002 to 2018. Then, the frequency of droughts was examined over the same period. The results have revealed two groups of years (dry years and normal years), based on drought intensity. The selected years were used to compare the shifting between vegetation and desert. The Vegetation Condition Index (VCI), the Temperature Condition Index (TCI), the Precipitation Condition Index (PCI), and the Soil Moisture Condition Index (SMCI) were also used to investigate the spatiotemporal variation of drought and to determine which LC class was more vulnerable to drought risk. Our results revealed that Grasslands and Croplands in the West region, and Grasslands, Croplands, and Savannas in the North region are more sensitive to drought. A higher correlation was observed among the Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), Tropical Rainfall Measuring Mission (TRMM), and Soil Moisture (SM). Our findings suggested that NDVI, TRMM, and SM are more suitable for monitoring drought over the study area and have a reliable accuracy (R-2 > 0.70) concerning drought prediction. The outcomes of the current research could, explicitly, contribute progressively towards improving specific drought mitigation strategies and disaster risk reduction at regional and national levels.
英文关键词Drought Indices North and West Africa shifting Spatiotemporal Variations Vegetation Response
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000597551800001
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/349155
作者单位[Henchiri, Malak; Javed, Tehseen; Zhang, Sha; Bai, Yun] Qingdao Univ, Sch Automat, Qingdao 266071, Peoples R China; [Henchiri, Malak; Javed, Tehseen; Zhang, Sha; Bai, Yun; Zhang, Jiahua] Qingdao Univ, Remote Sensing Informat & Digital Earth Ctr, Sch Comp Sci & Technol, Qingdao 266071, Peoples R China; [Liu, Qi; Zhang, Jiahua] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China; [Essifi, Bouajila] Inst Reg Arides IRA, Lab Eremol & Combating Desertificat, Medenine 4119, Tunisia; [Zhang, Jiahua] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
推荐引用方式
GB/T 7714
Henchiri, Malak,Liu, Qi,Essifi, Bouajila,et al. Spatio-Temporal Patterns of Drought and Impact on Vegetation in North and West Africa Based on Multi-Satellite Data[J],2020,12(23).
APA Henchiri, Malak.,Liu, Qi.,Essifi, Bouajila.,Javed, Tehseen.,Zhang, Sha.,...&Zhang, Jiahua.(2020).Spatio-Temporal Patterns of Drought and Impact on Vegetation in North and West Africa Based on Multi-Satellite Data.REMOTE SENSING,12(23).
MLA Henchiri, Malak,et al."Spatio-Temporal Patterns of Drought and Impact on Vegetation in North and West Africa Based on Multi-Satellite Data".REMOTE SENSING 12.23(2020).
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