Searched for: subject:"Remote%5C%2Bsensing"
(1 - 4 of 4)
document
Lu, Y. (author), Dong, Jianzhi (author), Steele-Dunne, S.C. (author)
The spatial heterogeneity and temporal variation of soil moisture and surface heat fluxes are key to many geophysical and environmental studies. It has been demonstrated that they can be mapped by assimilating soil thermal and wetness information into surface energy balance models. The aim of this work is to determine whether enhancing the...
journal article 2019
document
Lu, S. (author), Heemink, A.W. (author), Lin, H.X. (author), Segers, Arjo (author), Fu, Guangliang (author)
Remote sensing, as a powerful tool for monitoring atmospheric phenomena, has been playing an increasingly important role in inverse modeling. Remote sensing instruments measure quantities that often combine several state variables as one. This creates very strong correlations between the state variables that share the same observation variable....
journal article 2017
document
Lu, S. (author)
Volcanic eruptions release a large amount of volcanic ash, which can pose hazard to human and animal health, land transportation, and aviation safety. Volcanic Ash Transport and Dispersion (VATD) models are critical tools to provide advisory information and timely volcanic ash forecasts. Due to the complexity and the uncertainty of many dynamic...
doctoral thesis 2017
document
Li, Nana (author), Jia, Li (author), Lu, Jing (author), Menenti, M. (author), Zhou, J. (author)
The regional surface soil heat flux (G0) estimation is very important for the large-scale land surface process modeling. However, most of the regional G0 estimation methods are based on the empirical relationship between G0 and the net radiation flux. A physical model based on harmonic analysis was improved (referred to as "HM model") and...
journal article 2017
Searched for: subject:"Remote%5C%2Bsensing"
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