Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: To make use of the multiple imaging capabilities of ENVISAT ASAR, theoretical backscattering models can help to improve surface parameter inversion. The surface roughness characterization is crucial in this context. Commonly used surface roughness descriptors are the rms height and autocorrelation length. Empirical comparisons with SAR imagery show that these descriptors result in an ambiguous surface roughness parameterisation. A theoretical, two parameter surface backscattering model based on IEM simulations is proposed, where the surface roughness is described by a single static parameter. It will be shown that the surface roughness can be inverted using multitemporal ENVISAT ASAR imagery. Finally the accuracy of the proposed model is validated and the applicability of the model will be outlined
['Alexander Löw', 'Wolfram Mauser']
I am writing a research paper on a idea A two parameter backscattering model for bare soil surfaces: from theory to application
[{"from": "human", "value": "I am writing a research paper on a idea A two parameter backscattering model for bare soil surfaces: from theory to application"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: To make use of the multiple imaging capabilities of ENVISAT ASAR, theoretical backscattering models can help to improve surface parameter inversion. The surface roughness characterization is crucial in this context. Commonly used surface roughness descriptors are the rms height and autocorrelation length. Empirical comparisons with SAR imagery show that these descriptors result in an ambiguous surface roughness parameterisation. A theoretical, two parameter surface backscattering model based on IEM simulations is proposed, where the surface roughness is described by a single static parameter. It will be shown that the surface roughness can be inverted using multitemporal ENVISAT ASAR imagery. Finally the accuracy of the proposed model is validated and the applicability of the model will be outlined"}]