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DOI10.3390/rs11080902
Monitoring Extreme Agricultural Drought over the Horn of Africa (HOA) Using Remote Sensing Measurements
Qu, Carolyn1; Hao, Xianjun2,3; Qu, John J.2,3
发表日期2019
ISSN2072-4292
卷号11期号:8
英文摘要

The Horn of Africa ((HOA), including Djibouti, Eritrea, Ethiopia, and Somalia) has been slammed by extreme drought within the past years, and has become one of the most food-insecure regions in the world. Millions of people in the HOA are undernourished and are at risk of famine. Meanwhile, global climate change continues to cause more extreme weather and climate events, such as drought and heat waves, which have significant impacts on crop production and food security. This study aimed to investigate extreme drought in the Horn of Africa region, using satellite remote sensing data products from the Moderate Resolution Imaging Spectroradiometer (MODIS), a key instrument onboard the National Aeronautics and Space Administration (NASA) satellites Terra and Aqua, as well as Tropical Rainfall Measuring Mission (TRMM) precipitation data products. Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI) data from 2000 to 2017 were derived from the MODIS measurements and analyzed for assessments of the temporal trend of vegetation health and the impacts of extreme drought events. The results demonstrated the severity of vegetation stress and extreme drought during the past decades. From 1998 to 2017, monthly precipitation over major crop growth seasons decreased significantly. From 2001 to 2017, the mean VHI anomaly of HOA cropland decreased significantly, at a trend of -0.2364 +/- 0.1446/year, and the mean TCI anomaly decreased at a trend of -0.2315 +/- 0.2009/year. This indicated a deterioration of cropland due to drought conditions in the HOA. During most of the crop growth seasons in 2015 and 2016, the VHI values were below the 10-year (2001-2010) average: This was caused by extreme drought during the 2015-2016 El Nino event, one of the strongest El Nino events in recorded history. In addition, monthly VHI anomalies demonstrated a high correlation with monthly rainfall anomalies in July and August (the growth season of major crops in the HOA), and the trough points of the monthly rainfall and VHI anomaly time series of July and August were consistent with the timing of drought events and El Nino events.


WOS研究方向Remote Sensing
来源期刊REMOTE SENSING
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/96253
作者单位1.George Mason Univ, Coll Sci, CSISS, Fairfax, VA 22030 USA;
2.George Mason Univ, Coll Sci, GENRI, Fairfax, VA 22030 USA;
3.George Mason Univ, Coll Sci, Dept Geog & GeoInformat Sci GGS, Fairfax, VA 22030 USA
推荐引用方式
GB/T 7714
Qu, Carolyn,Hao, Xianjun,Qu, John J.. Monitoring Extreme Agricultural Drought over the Horn of Africa (HOA) Using Remote Sensing Measurements[J],2019,11(8).
APA Qu, Carolyn,Hao, Xianjun,&Qu, John J..(2019).Monitoring Extreme Agricultural Drought over the Horn of Africa (HOA) Using Remote Sensing Measurements.REMOTE SENSING,11(8).
MLA Qu, Carolyn,et al."Monitoring Extreme Agricultural Drought over the Horn of Africa (HOA) Using Remote Sensing Measurements".REMOTE SENSING 11.8(2019).
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