期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII-B8
页码：509-516
出版社：Copernicus Publications
摘要：FY-2C satellite data, with high temporal resolution and vast coverage range, have been applying for long-term and dynamic drought-monitoring, as well as for weather forecast, especially for forecasting disaster weather. Considering that the traditional remote sensing drought-monitoring models are easily influenced by cloud, a cloud index-based drought-monitoring model is presented in this paper. The parameters used in the model are: Max Continuous Cloudy Days (CCD), Max Continuous Cloud-Free Days (CCFD), Cloudy Days Ratio (CDR) and Temperature Difference from Day to Night (TD). As the important improvement, the latitude correction function to the three cloud parameters is introduced to the model. Finally, the 20 cm deep soil moisture data from Oct. 2005 to Sep. 2006 are used to validate the accuracy of this model. The result shows that the improved model is efficacious in the great extent drought detection and forecast
关键词：Drought; FY-2C; Cloud Index; Temperature; Drought-monitoring Model
