Remote Sensing & Radiative Transfer

Microwave Remote Sensing


Tom Wilheit and his research group are developing algorithms to retrieve precipitation and other atmospheric parameters using passive microwave radiation measurements.

Cloud Remote Sensing

Cloud Scenes

Shaima Nasiri combines observations and radiative transfer modeling to retrieve cloud properties such as thermodynamic phase, cloud particle size, and cloud thickness from visible and infrared satellite data.

Study of Clouds

CLD Fraction

Ping Yang research group studies clouds (ice clouds, in particular) using narrow-band and hyperspectral radiometric data acquired from ground-based, airborne, and satellite observations. The research focuses on cloud macrophysical/microphysical/optical properties and their climatological characteristics, particularly, the radiative forcing of clouds.

Light Scattering and Radiative Transfer Simulations

Scatter Function

Ping Yang and his group study the basic scattering and absorption properties of nonspherical particles, a topic important to various practical applications such as remote sensing of cirrus clouds and aerosols. They also investigate the polarization features associated with the multiple scattering of radiation by clouds (or, aerosols) and apply the results to the interpretation of polarized lidar measurements. Ping Yang's group is also interested in theoretical research in radiative transfer, including the development of fast radiative transfer models for remote sensing applications.

College of Geosciences Atmospheric Science Geography Oceanography Geology & Geophysics Environmental Programs Water Degree Program GERG IODP Texas Sea Grant