کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6346308 1621248 2014 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A new soil roughness parameter for the modelling of radar backscattering over bare soil
ترجمه فارسی عنوان
پارامتر خلوص خاک جدید برای مدل سازی پسماند رادار در خاک خرد شده
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
چکیده انگلیسی


- A new roughness parameter Zg is proposed.
- Zg considers rms height, correlation length and correlation function shape.
- Moment method is applied for backscattering simulations.
- An empirical model between real radar signals and Zg is proposed.

The characterisation of soil surface roughness is a key requirement for the correct analysis of radar backscattering behaviour. It is noteworthy that an increase in the number of surface roughness parameters in a model also increases the difficulty with which data can be inverted for the purposes of estimating soil parameters. In this paper, a new description of soil surface roughness is proposed for microwave applications. This is based on an original roughness parameter, Zg, which combines the three most commonly used soil parameters: root mean surface height, correlation length, and correlation function shape, into just one parameter. Numerical modelling, based on the moment method and integral equations, is used to evaluate the relevance of this approach. It is applied over a broad dataset of numerically generated surfaces characterised by a large range of surface roughness parameters. A strong correlation is observed between this new parameter and the radar backscattering simulations, for the HH and VV polarisations in the C and X bands. It is proposed to validate this approach using data acquired in the C and X bands, at several agricultural sites in France. It was found that the parameter Zg has a high potential for the analysis of surface roughness using radar measurements. An empirical model is proposed for the simulation of backscattered radar signals over bare soil.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 152, September 2014, Pages 62-73
نویسندگان
, , ,