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Efficient surface soil moisture mapping is essential in precision agriculture application. Achieving efficient soil moisture monitoring is indispensable and meaningful. Cloud computing technology can enhance computational efficiency enormously. The geospatial web service was developed to assist agronomic decision making, and this tool can be scaled to any location and crop. By integrating cloud computing...
The way to predict the high quality time series of soil moisture has important significance for scientific research and production practice. In this paper, a new method based on BP neural network and particle swarm algorithm (PSO) is established to predict the time series of soil moisture data obtained from wireless sensor networks. Experiment results show that our method has higher predicting accuracy...
In this paper, a active and passive microwave sensing combing algorithm is proposed, which merges L-band radiometer data and L-band radar data to obtain high-resolution soil-moisture in the premise that the soil roughness effect is not considered. The algorithm uses single-frequency single-incident angle measurements, considering effect of vegetation index (VI), establishs the relationship between...
The study of regional land surface soil water is a promising field in agricultural drought monitoring by remote sensing, and estimating soil moisture is one of the commonly used indicators in agricultural drought monitoring, based on this to establish Temperature Vegetation Dryness Index (TVDI) is an important method of reflecting agricultural drought condition, it refers to two parameters including...
It has long been recognized that soil moisture is a significant parameter of climatological, hydrological and ecological systems. In energy exchange and matter exchange between land surface and atmosphere, soil moisture is also a key state variable. It is very important to monitor soil moisture in large range for hydrological and meteorological process and laws research, as well as for agriculture...
Understanding the historical trends and driving mechanism of China's soil moisture change is an important step in combating climate change. Using the time series satellite-derived Essential Climate Variable Soil Moisture (ECV_SM) product, we detected a significant decrease trend in land surface soil moisture in eastern China over a 32-year period (1979–2010). Theoretical sensitivity analysis suggested...
According to the test data of environmental factors in greenhouse during tomato growth period, the change of soil moisture was simulated by the method of the water balance equations. The objective function is the total of the difference between simulated soil moisture and measured soil moisture for using to calculate the crop coefficients and the water requirement with drip irrigation under plastic...
Spatio-temporal root zone soil moisture (STRZSM) plays a vital role in the understanding of land-surface dynamics, climate change, soil-water-balance, hydrologic processes, vegetation growth and yield modeling. STRZSM trails can be captured using remote sensing, in-situ or ground based measurements or through land surface models. Apart from this, new generation of low-cost soil moisture sensors present...
Soil moisture is a kind of important surface environmental variable, it's important for Scientific research and production practice to obtain high quality regional soil moisture data. The paper established a new interpolation method used the time series observation data which obtained by ground sensor network as as data source, based on the theory of signal superposition, and combined spatial analysis...
Taking the greenhouse tomato with drip irrigation under plastic mulch as experimental material, the suitable temperature, water stress index and dry matter transformation factor for tomato growth model were determined, and the economic irrigation schedule was accordingly made. The results show that the economic irrigation schedule can significantly increase yield and income. The yield increased by...
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