Reza Khanbilvardi
City University of New York
Others, NOAA-Cooperative Remote Sensing Science & Technology Center (NOAA-CREST),
NY 10031
Tanzania
Research Article
Analysis of the Effects of Snowpack Properties on Satellite Microwave Brightness Temperature and Emissivity Data
Author(s): Tarendra Lakhankar, Amir E Azar, Narges Shahroudi, Alfred Powell and Reza Khanbilvardi
Tarendra Lakhankar, Amir E Azar, Narges Shahroudi, Alfred Powell and Reza Khanbilvardi
Spatial variations of snowpack properties are an essential component in flood predictions and water resource management. Satellite microwave remote sensing has shown great potential in retrieving snowpack properties such as: snow depth, snow grain size, and snow density. In this research, we investigate the potential of microwave emissivity which is highly influenced by snowpack properties. Brightness temperature and emissivity data generated from HUT (Helsinki University of Technology) microwave emission of snow model were evaluated with satellite microwave measurements. The comparison of the real measurements (in-situ and satellite) with the modeled results shows that the scattering signature (19GHz-37GHz and 19GHz-85GHz) shows better results in emissivities rather than brightness temperature data. Furthermore, the over the deep snow (>30cm), the emissivities scattering signature.. View More»
DOI:
10.4172/2169-0049.1000101