کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4720890 1639351 2015 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Parametric exponentially correlated surface emission model for L-band passive microwave soil moisture retrieval
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات ژئوشیمی و پترولوژی
پیش نمایش صفحه اول مقاله
Parametric exponentially correlated surface emission model for L-band passive microwave soil moisture retrieval
چکیده انگلیسی


• A simple L-band parametric emission model for exponentially correlated surface is developed.
• Roughness effects (Hp) is found to be expressed as a function of a defined slope parameter m = s2/l.
• The proposed parametric model can provide robust soil moisture estimates over pasture and croplands.
• Comparisons suggest different parameterization schemes need to be calibrated to achieve the desired accuracy.

Surface soil moisture is an important parameter in hydrology and climate investigations. Current and future satellite missions with L-band passive microwave radiometers can provide valuable information for monitoring the global soil moisture. A factor that can play a significant role in the modeling and inversion of microwave emission from land surfaces is the surface roughness. In this study, an L-band parametric emission model for exponentially correlated surfaces was developed and implemented in a soil moisture retrieval algorithm. The approach was based on the parameterization of an effective roughness parameter of Hp in relation with the geometric roughness variables (root mean square height s and correlation length l) and incidence angle. The parameterization was developed based on a large set of simulations using an analytical approach incorporated in the advanced integral equation model (AIEM) over a wide range of geophysical properties. It was found that the effective roughness parameter decreases as surface roughness increases, but increases as incidence angle increases. In contrast to previous research, Hp was found to be expressed as a function of a defined slope parameter m = s2/l, and coefficients of the function could be well described by a quadratic equation. The parametric model was then tested with L-band satellite data in soil moisture retrieval algorithm over the Little Washita watershed, which resulted in an unbiased root mean square error of about 0.03 m3/m3 and 0.04 m3/m3 for ascending and descending orbits, respectively.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physics and Chemistry of the Earth, Parts A/B/C - Volumes 83–84, 2015, Pages 65–74
نویسندگان
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