NDVI anomaly for drought monitoring and its correlation with climate factors over Mongolia from 2000 to 2016

被引:146
作者
Nanzad, Lkhagvadorj [1 ,2 ,3 ]
Zhang, Jiahua [1 ,2 ]
Tuvdendorj, Battsetseg [1 ,3 ]
Nabil, Mohsen [1 ,4 ]
Zhang, Sha [1 ,2 ]
Bai, Yun [1 ,2 ]
机构
[1] Univ Chinese Acad Sci, Beijing, Peoples R China
[2] Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, Key Lab Digital Earth Sci, Dengzhuang South Rd, Beijing 100094, Peoples R China
[3] IRIMHE, Natl Remote Sensing Ctr, Ulaanbaatar 15160, Mongolia
[4] Natl Author Remote Sensing & Space Sci NARSS, Cairo, Egypt
基金
中国国家自然科学基金;
关键词
Drought in Mongolia; Drought severity; Drought frequency; NDVI anomaly; Climate factors; Remote sensing; AGRICULTURAL DROUGHT; INNER-MONGOLIA; GREAT-PLAINS; TEMPERATURE; VEGETATION; PRECIPITATION; PATTERNS; AFRICA;
D O I
10.1016/j.jaridenv.2019.01.019
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Drought is a frequent phenomenon of Mongolia in the last 17 years. The imbalance between the potential evaporation and precipitation amount during the growing season usually causes drought condition which may pose a threat to the environment and human activities. Therefore, gathering a frequent information about the drought severity and its spatial and temporal distribution is required for drought effects mitigation. In this study, the drought severity and its spatial distribution over Mongolia have been mapped, based on the normalized difference vegetation index (NDVI) anomaly during the growing season for 2000 to 2016. The results indicated that Mongolia experienced mild to severe drought during the 17 years and the extremely affected years were 2001, 2007, 2002, 2005, 2004, 2009 and 2006 respectively when 41%-57% of the country was under mild to severe drought conditions. The temporal correlation analysis indicated that growing season NDVI anomaly variation was correlated with both climatic variables, but slightly more significantly correlated with precipitation anomaly (r = 0.46, p < 0.005) than temperature anomaly (r = - 0.40, p < 0.005). Meanwhile, the analysis of the spatial correlation between NDVI anomaly and two climatic variables varied according to the land cover type and plants growth environments.
引用
收藏
页码:69 / 77
页数:9
相关论文
共 49 条
[1]  
[Anonymous], 1993, 8 C APPL CLIMATOLOGY
[2]  
[Anonymous], 1965, METEOROLOGICAL DROUG
[3]  
[Anonymous], 2006, THESIS
[4]  
Anyamba A, 2001, INT J REMOTE SENS, V22, P1847
[5]  
Anyamba A., 2012, REMOTE SENS DROUGHT, V23, P20
[6]  
Batima P., 2000, CLIMATE CHANGE ITS I
[7]   A comparative study of NOAA-AVHRR derived drought indices using change vector analysis [J].
Bayarjargal, Y. ;
Karnieli, A. ;
Bayasgalan, M. ;
Khudulmur, S. ;
Gandush, C. ;
Tucker, C. J. .
REMOTE SENSING OF ENVIRONMENT, 2006, 105 (01) :9-22
[8]  
Bayarjargal Y, 2000, P 21 AS C REM SENS T, P372
[9]   Suitability Assessment of Satellite-Derived Drought Indices for Mongolian Grassland [J].
Chang, Sheng ;
Wu, Bingfang ;
Yan, Nana ;
Davdai, Bulgan ;
Nasanbat, Elbegjargal .
REMOTE SENSING, 2017, 9 (07)
[10]   NDVI, temperature and precipitation changes and their relationships with different vegetation types during 1998-2007 in Inner Mongolia, China [J].
Chuai, X. W. ;
Huang, X. J. ;
Wang, W. J. ;
Bao, G. .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2013, 33 (07) :1696-1706