The Monitoring Analysis for the Drought in China by Using an Improved MPI Method

doi:10.1016/S1671-2927(00)8629

Journal of Integrative Agriculture ›› 2012, Vol. 12 ›› Issue (6): 1048-1058.DOI: 10.1016/S1671-2927(00)8629

• 论文 • 上一篇

The Monitoring Analysis for the Drought in China by Using an Improved MPI Method

MAO Ke-biao, XIA Lang, TANG Hua-jun, HAN Li-juan

1.Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
2.Center for Land Resource Research in Northwest China, Shaanxi Normal University, Xi’an 710062, P.R.China
3.A-World Consulting, Hong Kong Logistics Association, Hong Kong, P.R.China
4.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications of Chinese Academy of Sciences/Beijing Normal University, Beijing 100101, P.R.China
5.National Meteorological Center, Beijing 100081, P.R.China

收稿日期:2010-12-20 出版日期:2012-06-01 发布日期:2012-07-20
通讯作者: MA Ying, Tel/Fax: +852-21144988, E-mail: maying_helen@163.com; Correspondence TANG Hua-jun, Tel: +86-10-82109395, E-mail: hjtang@mail.caas.net.cn
基金资助:
This work was supported by the National Basic Research Program of China (2010CB951503), the National Natural Science Foundation of China (40930101), the Open Fund of the State Key Laboratory of Remote Sensing Science, jointly sponsored by the Institute of Remote Sensing Applications of the Chinese Academy of Sciences and Beijing Normal University, China, and the Open Fund of Key Laboratory of Agrometeorological Safeguard and Applied, China Meteorological Administration.

The Monitoring Analysis for the Drought in China by Using an Improved MPI Method

MAO Ke-biao, XIA Lang, TANG Hua-jun, HAN Li-juan

1.Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
2.Center for Land Resource Research in Northwest China, Shaanxi Normal University, Xi’an 710062, P.R.China
3.A-World Consulting, Hong Kong Logistics Association, Hong Kong, P.R.China
4.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications of Chinese Academy of Sciences/Beijing Normal University, Beijing 100101, P.R.China
5.National Meteorological Center, Beijing 100081, P.R.China

Received:2010-12-20 Online:2012-06-01 Published:2012-07-20
Contact: MA Ying, Tel/Fax: +852-21144988, E-mail: maying_helen@163.com; Correspondence TANG Hua-jun, Tel: +86-10-82109395, E-mail: hjtang@mail.caas.net.cn
Supported by:
This work was supported by the National Basic Research Program of China (2010CB951503), the National Natural Science Foundation of China (40930101), the Open Fund of the State Key Laboratory of Remote Sensing Science, jointly sponsored by the Institute of Remote Sensing Applications of the Chinese Academy of Sciences and Beijing Normal University, China, and the Open Fund of Key Laboratory of Agrometeorological Safeguard and Applied, China Meteorological Administration.

摘要/Abstract

摘要： MPI (microwave polarization index) method can use different frequencies at vertical polarization to retrieve soil moisture from TMI (tropical microwave imager) data, which is mainly suitable for bare soil. This paper makes an improvement for MPI method which makes it suitable for surface covered by vegetation. The MPI by using single frequency at different polarizations is used to discriminate the bare soil and vegetation which overcomes the difficulty in previous algorithms by using optical remote sensing data, and then the revision is made according to the different land surface types. The validation by using ground measurement data indicates that revision for different land surface types can improve the retrieval accuracy. The average error is about 24.5% by using the ground truth data obtained from ground observation stations, and the retrieval error is about 13.7% after making a revision by using ground measurement data from local observation stations for different surface types. The improved MPI method and precipitation are used to analyze the drought in Southwest China, and the analysis indicates the soil moisture retrieved by improved MPI method can be used to monitor the drought.

关键词: drought, soil moisture, climate change, microwave remote sensing

Abstract: MPI (microwave polarization index) method can use different frequencies at vertical polarization to retrieve soil moisture from TMI (tropical microwave imager) data, which is mainly suitable for bare soil. This paper makes an improvement for MPI method which makes it suitable for surface covered by vegetation. The MPI by using single frequency at different polarizations is used to discriminate the bare soil and vegetation which overcomes the difficulty in previous algorithms by using optical remote sensing data, and then the revision is made according to the different land surface types. The validation by using ground measurement data indicates that revision for different land surface types can improve the retrieval accuracy. The average error is about 24.5% by using the ground truth data obtained from ground observation stations, and the retrieval error is about 13.7% after making a revision by using ground measurement data from local observation stations for different surface types. The improved MPI method and precipitation are used to analyze the drought in Southwest China, and the analysis indicates the soil moisture retrieved by improved MPI method can be used to monitor the drought.

Key words: drought, soil moisture, climate change, microwave remote sensing

MAO Ke-biao, XIA Lang, TANG Hua-jun, HAN Li-juan. The Monitoring Analysis for the Drought in China by Using an Improved MPI Method[J]. Journal of Integrative Agriculture, 2012, 12(6): 1048-1058.

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The Monitoring Analysis for the Drought in China by Using an Improved MPI Method

The Monitoring Analysis for the Drought in China by Using an Improved MPI Method

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