Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The microwave signatures of a layer of dry snow overlying ground with a rough surface are computed.  use dense medium radiative transfer (DMRT) theory with Quasicrystalline approximation (QCA) for densely distributed sticky moderate size particles to calculate the volume scattering in snow. The rough surface scattering and emission are modeled by the Numerical Maxll Model of 3D simulations (NMM3D), which is accelerated by fast computation method known as with Sparse-Matrix Canonical Grid method (SMCG). The bistatic scattering coefficients of rough surfaces are used as the boundary conditions for the DMRT. Both active and passive cases are studied.
['Yunhua Tan', 'Zhongxin Li', 'Leung Tsang', 'Alfred T. C. Chang', 'Qin Li']
I am writing a research paper on a idea Modeling passive and active microwave remote sensing of snow using DMRT theory with rough surface boundary conditions
[{"from": "human", "value": "I am writing a research paper on a idea Modeling passive and active microwave remote sensing of snow using DMRT theory with rough surface boundary conditions"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The microwave signatures of a layer of dry snow overlying ground with a rough surface are computed.  use dense medium radiative transfer (DMRT) theory with Quasicrystalline approximation (QCA) for densely distributed sticky moderate size particles to calculate the volume scattering in snow. The rough surface scattering and emission are modeled by the Numerical Maxll Model of 3D simulations (NMM3D), which is accelerated by fast computation method known as with Sparse-Matrix Canonical Grid method (SMCG). The bistatic scattering coefficients of rough surfaces are used as the boundary conditions for the DMRT. Both active and passive cases are studied."}]