Microwave vegetation indices derived from satellite microwave radiometers

T. J. Jackson; J. C. Shi; J. Tao

doi:10.1117/12.790529

10 September 2008 Microwave vegetation indices derived from satellite microwave radiometers

T. J. Jackson, J. C. Shi, J. Tao

Proceedings Volume 7083, Remote Sensing and Modeling of Ecosystems for Sustainability V; 708302 (2008) https://doi.org/10.1117/12.790529
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

Abstract

Vegetation indices are valuable in many fields of geosciences. Conventional, visible-near infrared, indices are often limited by the effects of atmosphere, background soil conditions, and saturation at high levels of vegetation. In this study, the theoretical basis for a new type of passive microwave vegetation indices (MVIs) based on data from the Advanced Microwave Scanning Radiometer (AMSR-E) on the Aqua satellite is developed. Numerical simulation results were used to establish relationships of bare soil surface emissivities at different frequencies. Using a radiative transfer model, a linear relationship between the brightness temperatures observed at two adjacent radiometer frequencies can be derived. The intercept and slope of this linear function depend only on the vegetation properties and can be used as vegetation indices. These can be derived from the dual-frequency and dual-polarization satellite measurements under the assumption that there is no significant impact of the polarization dependence on the vegetation signals. To demonstrate the potential of the new microwave vegetation indices, we compared them with the Normalized Difference of Vegetation Index (NDVI) derived using MODIS at continental and global scales. The results indicate that the MVIs provide a complementary dataset for monitoring global short vegetation and seasonal phenology from space.

Citation Download Citation

T. J. Jackson, J. C. Shi, and J. Tao "Microwave vegetation indices derived from satellite microwave radiometers", Proc. SPIE 7083, Remote Sensing and Modeling of Ecosystems for Sustainability V, 708302 (10 September 2008); https://doi.org/10.1117/12.790529

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KEYWORDS

Vegetation

Microwave radiation

Polarization

Satellites

Sensors

Radiometry

Signal attenuation

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