Passive Microwave Remote Sensing Soil Moisture Data in Agricultural Drought Monitoring: Application in Northeastern China

文献类型： 外文期刊

第一作者： Cheng, Tao

作者： Cheng, Tao;Cheng, Tao;Huang, Bensheng;Qiu, Jing;Zhao, Bikui;Tan, Chao;Cheng, Tao;Huang, Bensheng;Qiu, Jing;Zhao, Bikui;Tan, Chao;Cheng, Tao;Huang, Bensheng;Qiu, Jing;Zhao, Bikui;Tan, Chao;Hong, Siyang

作者机构：

关键词： drought monitoring; northeastern China; passive microwave remote sensing; Pearson correlation analysis; soil moisture

期刊名称：WATER （ 影响因子：3.103； 五年影响因子：3.229 ）

ISSN：

年卷期： 2021 年 13 卷 19 期

页码：

收录情况： SCI

摘要： Drought is the costliest disaster around the world and in China as well. Northeastern China is one of China's most important major grain producing areas. Frequent droughts have harmed the agriculture of this region and further threatened national food security. Therefore, the timely and effective monitoring of drought is extremely important. In this study, the passive microwave remote sensing soil moisture data, i.e., the SMOS soil moisture (SMOS-SM) product, was compared to several in situ meteorological indices through Pearson correlation analysis to assess the performance of SMOS-SM in monitoring drought in northeastern China. Then, maps based on SMOS-SM and in situ indices were created for July from 2010 to 2015 to identify the spatial pattern of drought distributions. Our results showed that the SMOS-SM product had relatively high correlation with in situ indices, especially SPI and SPEI values of a nine-month scale for the growing season. The drought patterns shown on maps generated from SPI-9, SPEI-9 and sc-PDSI were also successfully captured using the SMOS-SM product. We found that the SMOS-SM product effectively monitored drought patterns in northeastern China, and this capacity would be enhanced when field capacity information became available.

分类号：

  • 相关文献

[1]Passive Microwave Remote Sensing Soil Moisture Data in Agricultural Drought Monitoring: Application in Northeastern China. Cheng, Tao,Cheng, Tao,Huang, Bensheng,Qiu, Jing,Zhao, Bikui,Tan, Chao,Cheng, Tao,Huang, Bensheng,Qiu, Jing,Zhao, Bikui,Tan, Chao,Cheng, Tao,Huang, Bensheng,Qiu, Jing,Zhao, Bikui,Tan, Chao,Hong, Siyang. 2021

作者其他论文 更多>>

微信小程序