Water Cloud Model
A semi-empirical vegetation microwave scattering model proposed by Attema and Ulaby. It simplifies the crop canopy as a uniform cloud of water droplets to separate vegetation and soil contributions from total SAR backscatter, and serves as a classical method for soil moisture retrieval.
Timeline (last 90 days)
The semi-empirical Water Cloud Model (WCM) was proposed by researchers Attema and Ulaby, treating the crop canopy as a uniform cloud of water droplets suspended above the ground.
WCM relies on two unknown vegetation physical parameters (such as biomass and leaf area index), making it mathematically unsolvable from SAR data alone.
Researchers first used WCM and IEM to generate a synthetic training dataset covering various combinations of soil moisture from 2% to 40%, and injected Gaussian noise to simulate real satellite defects.
All Facts (3)
The semi-empirical Water Cloud Model (WCM) was proposed by researchers Attema and Ulaby, treating the crop canopy as a uniform cloud of water droplets suspended above the ground.
50%UnverifiedWCM relies on two unknown vegetation physical parameters (such as biomass and leaf area index), making it mathematically unsolvable from SAR data alone.
50%UnverifiedResearchers first used WCM and IEM to generate a synthetic training dataset covering various combinations of soil moisture from 2% to 40%, and injected Gaussian noise to simulate real satellite defects.
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