Advances in Earth Science ›› 2019, Vol. 34 ›› Issue (3): 275-287. doi: 10.11867/j.issn.1001-8166.2019.03.0275

Previous Articles     Next Articles

Research Progress and Prospect of Integrated Drought Monitoring Based on Multi-source Information

Xiaowei Jiang 1, 2( ),Jianjun Bai 1, 2( ),Xianfeng Liu 1, 2   

  1. 1. College of Geography and Tourism,Shaanxi Normal University,Xi’an 710119,China
    2. National Demonstration Center for Experimental Geography Education,Shaanxi Normal University,Xi’an 710119,China
  • Received:2018-11-24 Revised:2019-01-10 Online:2019-03-10 Published:2019-04-28
  • Contact: Jianjun Bai E-mail:648762060@qq.com;bjj@snnu.edu.cn
  • About author: Jiang Xiaowei (1992-), female, Tongchuan City, Shaanxi Province, Ph.D student. Reserch areas include remote sensing of resources and environment and agricultural drought. E-mail: 648762060@qq.com | Jiang Xiaowei (1992-), female, Tongchuan City, Shaanxi Province, Ph.D student. Reserch areas include remote sensing of resources and environment and agricultural drought. E-mail: 648762060@qq.com |Bai Jianjun(1969-), male, Weinan City, Shaanxi Province, Professor. Reserch areas include remote sensing of resources and environment and agricultural drought. E-mail: bjj@snnu.edu.cn
  • Supported by:
    Project supported by the Shaanxi Natural Science Foundation “Effects of soil texture, crop type and phenological period on remote sensing drought index”(No.2016JM4016);The National Natural Science Foundation of China “Study on integrated monitoring method of agricultural drought based on integrating multiple elements and their time delay effect”(No.41801333)

Xiaowei Jiang, Jianjun Bai, Xianfeng Liu. Research Progress and Prospect of Integrated Drought Monitoring Based on Multi-source Information[J]. Advances in Earth Science, 2019, 34(3): 275-287.

At present, drought monitoring has changed from single factor to multi-factor comprehensive direction. In order to better promote the development of comprehensive drought monitoring theory and related models, the conceptual connotation of comprehensive drought monitoring was comprehensively and systematically analyzed, and the construction methods of comprehensive drought monitoring model were sorted out, which were divided into five

methods

Water balance model method, linear model combination method, multi-variable joint distribution function method, principal component analysis method and multi-source information data mining method. Furthermore, in view of the current challenges and shortcomings of integrated drought monitoring, the direction of future development of integrated drought monitoring model was put forward, that is, at the theoretical level: The first is to study the internal mechanism of drought and its occurrence and development process, clarify the relationship among the factors affecting drought, and construct a comprehensive quantitative drought monitoring model integrating multiple factors; The second is to enhance the pertinence of drought monitoring model, develop suitable drought monitoring model according to different regions, underlying surface, growing season, etc.;The third is to construct the precision verification index system of comprehensive monitoring model for drought in view of the difficulty of model validation. At the technical level, the integration and fusion of drought-related multi-source information is studied to improve its comprehensive utilization level and provide abundant data support and technical support for drought monitoring.

No related articles found!
Viewed
Full text


Abstract