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Monitoring Soil Moisture in Typical North China Region Using Modified Perpendicular Drought Index and MODIS Satellite Data

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 398))

Abstract

Soil moisture is one of the most important and direct index for assessing drought. In this study, we performed a monitor of soil moisture in typical North China region using modified perpendicular drought index (MPDI) and the MODIS satellite data, and Henan Province was selected as the study area. Firstly, the parameters of MPDI and fraction of vegetation (f v) were description; Secondly, the validation of MPDI for monitoring the soil moisture from different ranges of depth and time-lagged impact were analyzed; Thirdly, the comparison were carried out for observing the area of the same soil texture and different types. The results showed that the MPDI had a negative correlation with soil moisture in winter wheat growing area of Henan, and the MPDI presented its better feature for estimating soil moisture in 10cm soil depth. When calculated the time-lag effect from 0 to 4 days delay length, the results demonstrated that the MPDI corresponded soil moisture rapidly with no obvious time-lag effect from 0-3days time-lag length, and soil moisture changed obviously at 4-daytime-lagin 10cm depth.

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© 2013 Springer-Verlag Berlin Heidelberg

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Zhang, J., Zhou, Z., Yao, F., He, Z. (2013). Monitoring Soil Moisture in Typical North China Region Using Modified Perpendicular Drought Index and MODIS Satellite Data. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_35

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  • DOI: https://doi.org/10.1007/978-3-642-45025-9_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45024-2

  • Online ISBN: 978-3-642-45025-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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