The application of Modified Perpendicular Drought Index (MPDI) method in drought remote sensing monitoring

Hongwei Zhang; Huailiang Chen; Shuanghe Shen; Chunhui Zou

doi:10.1117/12.795613

10 September 2008 The application of Modified Perpendicular Drought Index (MPDI) method in drought remote sensing monitoring

Hongwei Zhang, Huailiang Chen, Shuanghe Shen, Chunhui Zou

Author Affiliations +

Proceedings Volume 7083, Remote Sensing and Modeling of Ecosystems for Sustainability V; 70831D (2008) https://doi.org/10.1117/12.795613
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

Abstract

Soil moisture and vegetation growth are the most important and direct index for drought. The interpreting to vegetation and spectrum analysis of soil are two important elements in the judgment of drought. Recently, Abduwasit Ghulam and other researchers, on the basis of the spatial distribution characters of soil moisture in near infrared spectrum, adopt the expansion analysis method and establish PDI. Later, vegetation index is introduced by establishing a new drought monitoring method MPDI after comprehensively considering about the soil moisture and vegetation growth characters. The article, directing against the drought in different periods of Henan Province, adopts the MODIS image data to undertake PDI and MPDI calculations and compares with the soil moisture data with that of the same period, concluding that: PDI and MPDI are closely related with the original data from land observation, among which the relations between MPDI and 0-20cm calculation is the closest; PDI and MPDI are all close to the drought situation concluded from the calculation of bared land and the early growth period of vegetations; MPDI is more suitable for the areas with vegetations.

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Hongwei Zhang, Huailiang Chen, Shuanghe Shen, and Chunhui Zou "The application of Modified Perpendicular Drought Index (MPDI) method in drought remote sensing monitoring", Proc. SPIE 7083, Remote Sensing and Modeling of Ecosystems for Sustainability V, 70831D (10 September 2008); https://doi.org/10.1117/12.795613

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KEYWORDS

Soil science

Vegetation

Near infrared

Remote sensing

Reflection

Reflectivity

Infrared radiation

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