Drought remote sensing monitoring based on the Modified Perpendicular Drought Index method

Hongwei Zhang; Huailiang Chen; Shuanghe Shen; Chunhui Zou

doi:10.1117/12.800044

14 October 2008 Drought remote sensing monitoring based on the Modified Perpendicular Drought Index method

Hongwei Zhang, Huailiang Chen, Shuanghe Shen, Chunhui Zou

Proceedings Volume 7110, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII; 71101F (2008) https://doi.org/10.1117/12.800044
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom

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.

Citation Download Citation

Hongwei Zhang, Huailiang Chen, Shuanghe Shen, and Chunhui Zou "Drought remote sensing monitoring based on the Modified Perpendicular Drought Index method", Proc. SPIE 7110, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII, 71101F (14 October 2008); https://doi.org/10.1117/12.800044

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KEYWORDS

Soil science

Vegetation

Near infrared

Remote sensing

Reflection

Reflectivity

Infrared radiation

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