Development of a simple scattering model for radar backscatters of ...
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This paper presents the development of an accurate and simple scattering model for radar backscatters of agricultural fields using the water-cloud model ...
A simple algorithm based on a rough surface scattering model was developed to invert the bare soil moisture content from active microwave remote sensing data.
Mar 29, 2024 · Abstract. We develop a vegetation scattering model to eliminate the effect of vegetation and surface roughness on the radar signal.
An artificial neural network (ANN) is designed to estimate soil surface roughness (SSR). The first proposed model is composed of a bare soil backscattering ...
The objective of this article is to investigate the possibility of soil moisture retrieval from radar backscatter data in sugar beet fields.
Jul 4, 2022 · In this paper, a method was developed to retrieve SMC over agriculture fields during the crop growing season. The proposed method combined the ...
Soil Moisture Retrival Based on Sentinel-1 Imagery under Sparse ...
pmc.ncbi.nlm.nih.gov › PMC6387433
The model is based on the theoretical AIEM model and can better reflect the relationship between the backscattering coefficient and soil moisture. Compared with ...
Abstract. We used interferometric methods on a pair of repeat-pass ERS-1 synthetic aperture radar (SAR) images to study soil moisture changes over sparsely.
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Jun 12, 2013 · The objective of this paper is to develop and test an inversion algorithm for direct soil moisture retrieval from radar backscattering ...
The objective of this paper is to propose a new semi-empirical radar backscattering model for bare soil surfaces based on the Dubois model.
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