What is it about?
Our study develops an innovative method to account for complementary information from multiple satellites to provide a global map of soil moisture and snow.
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Why is it important?
Knowing how much water is contained in soils and in the snowpack is important for various applications ranging from water resource management and weather and climate prediction. However, this information is not easy to get everywhere and all the time. Fortunately, satellite measurements from space have made it possible to fill this gap.
Perspectives
This work reflects several years' effort from my group. Dr. Long Zhao skillfully combines his own work, and contributions from several former students from group, Yongfei Zhang, Yonghwan Kwon, and Hua Su.
Dr Zong-Liang Yang
University of Texas University Charter School District
Read the Original
This page is a summary of: Multi-sensor land data assimilation: Toward a robust global soil moisture and snow estimation, Remote Sensing of Environment, October 2018, Elsevier,
DOI: 10.1016/j.rse.2018.06.033.
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Contributors
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