title: Drought trends based on the VCI and its correlation with climate factors in the agricultural areas of China from 1982 to 2010.
abstract: Drought is a type of natural disaster that has the most significant impacts on agriculture. Regional drought monitoring based on remote sensing has become popular due to the development of remote sensing technology. In this study, vegetation condition index (VCI) data recorded from 1982 to 2010 in agricultural areas of China were obtained from advanced very high resolution radiometer (AVHRR) data, and the temporal and spatial variations in each drought were analyzed. The relationships between drought and climate factors were also analyzed. The results showed that from 1982 to 2010, the agricultural areas that experienced frequent and severe droughts were mainly concentrated in the northwestern areas and Huang-Huai Plain. Moreover, the VCI increased in the majority of agricultural areas, indicating that the drought frequency decreased over time, and the decreasing trend in the southern region was more notable than that in the northern region. A correlation analysis showed that temperature and wind velocity were the main factors that influenced drought in the agricultural areas of China. From a regional perspective, excluding precipitation, the climate factors had various effects on drought in different regions. However, the correlation between the VCI and precipitation was low, possibly due to the widespread use of artificial irrigation technology, which reduces the reliance of agricultural areas on precipitation.
authors: School of Geodesy and Geomatics, Jiangsu Normal University, Xuzhou, China.|Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing, China.
authors: Xiaojin
authors: X
authors: Qian
authors: School of Geodesy and Geomatics, Jiangsu Normal University, Xuzhou, China. liangliang198119@163.com.|School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China. liangliang198119@163.com.
authors: Liang
authors: http://orcid.org/0000-0003-0331-3312
authors: L
authors: Liang
authors: School of Geodesy and Geomatics, Jiangsu Normal University, Xuzhou, China.
authors: Qiu
authors: Q
authors: Shen
authors: School of Geodesy and Geomatics, Jiangsu Normal University, Xuzhou, China.
authors: Qin
authors: Q
authors: Sun
authors: School of Geodesy and Geomatics, Jiangsu Normal University, Xuzhou, China.
authors: Lianpeng
authors: L
authors: Zhang
authors: College of Biology and Environment Science, Jishou University, Jishou, China.
authors: Zhixiao
authors: Z
authors: Liu
authors: School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China.
authors: Shuhe
authors: S
authors: Zhao
authors: School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China.
authors: Zhihao
authors: Z
authors: Qin
mesh_terms: D000383:Agriculture / Q000639:trends*; D002681:China; D002980:Climate; D004190:Disasters; D055864:Droughts; D063245:Plant Development; D058998:Remote Sensing Technology; D013696:Temperature; D014919:Wind
keywords: Agricultural area; Climate factor; Correlation coefficient; Drought; VCI