The Monitoring Analysis for the Drought in China by Using an Improved MPI Method
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...
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doaj-f9feac5407ed4e5082ec48138fb01dd42021-06-07T06:47:44ZengElsevierJournal of Integrative Agriculture2095-31192012-06-0111610481058The Monitoring Analysis for the Drought in China by Using an Improved MPI MethodKe-biao MAO0Ying MA1Lang XIA2Hua-jun TANG3Li-juan HAN4Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R. China; Center for Land Resource Research in Northwest China, Shaanxi Normal University, Xi'an 710062, P.R. China; State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications of Chinese Academy of Sciences/Beijing Normal University, Beijing 100101, P.R. ChinaA-World Consulting, Hong Kong Logistics Association, Hong Kong, P.R. China; Correspondence MA Ying, Tel/Fax: +852-21144988Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R. ChinaKey Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R. China; Correspondence TANG Hua-jun, Tel: +86-10-82109395National Meteorological Center, Beijing 100081, P.R. ChinaMPI (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.http://www.sciencedirect.com/science/article/pii/S2095311912600975droughtsoil moistureclimate changemicrowave remote sensing |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ke-biao MAO Ying MA Lang XIA Hua-jun TANG Li-juan HAN |
spellingShingle |
Ke-biao MAO Ying MA Lang XIA Hua-jun TANG Li-juan HAN The Monitoring Analysis for the Drought in China by Using an Improved MPI Method Journal of Integrative Agriculture drought soil moisture climate change microwave remote sensing |
author_facet |
Ke-biao MAO Ying MA Lang XIA Hua-jun TANG Li-juan HAN |
author_sort |
Ke-biao MAO |
title |
The Monitoring Analysis for the Drought in China by Using an Improved MPI Method |
title_short |
The Monitoring Analysis for the Drought in China by Using an Improved MPI Method |
title_full |
The Monitoring Analysis for the Drought in China by Using an Improved MPI Method |
title_fullStr |
The Monitoring Analysis for the Drought in China by Using an Improved MPI Method |
title_full_unstemmed |
The Monitoring Analysis for the Drought in China by Using an Improved MPI Method |
title_sort |
monitoring analysis for the drought in china by using an improved mpi method |
publisher |
Elsevier |
series |
Journal of Integrative Agriculture |
issn |
2095-3119 |
publishDate |
2012-06-01 |
description |
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. |
topic |
drought soil moisture climate change microwave remote sensing |
url |
http://www.sciencedirect.com/science/article/pii/S2095311912600975 |
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