Open field soil moisture measurements with Radar
نویسندگان
چکیده
-As reported in [1], the Material Characteristics in Frequency Domain coupled with a 2 layer feed-forward Neural Network, MCFD/NN, has been successfully applied to soil moisture determination. The results were obtained under controlled laboratory conditions. Extension to open field soil moisture determination has been reported in [2] and it was shown that the MCFD/NN approach gives accurate results under an uncontrolled environment. In the present research, open field soil moisture determination based on the MCFD/NN algorithm is further explored with data obtained from a four-day campaign at the University of Puerto Rico Mayagüez Campus’ baseball field. Key-Words: Ground-Penetrating Radar, Impulse Radar, Soil Moisture, Neural Network
منابع مشابه
Validation of ground penetrating radar full-waveform inversion for field scale soil moisture mapping
Ground penetrating radar (GPR) is an efficient method for soil moisture mapping at the field scale, bridging the scale gap between small-scale invasive sensors and large-scale remote sensing instruments. Nevertheless, commonly-used GPR approaches for soil moisture characterization suffer from several limitations and the determination of the uncertainties in GPR soil moisture sensing has been po...
متن کاملTemporal Stability of Soil Moisture and Radar Backscatter Observed by the Advanced Synthetic Aperture Radar (ASAR)
The high spatio-temporal variability of soil moisture is the result of atmosphericforcing and redistribution processes related to terrain, soil, and vegetation characteristics.Despite this high variability, many field studies have shown that in the temporal domainsoil moisture measured at specific locations is correlated to the mean soil moisture contentover an area. Since the measurements take...
متن کاملMapping surface roughness and soil moisture using multi-angle radar imagery without ancillary data
The Integral Equation Model (IEM) is the most widely-used, physically based radar backscatter model for sparsely vegetated landscapes. In general, IEM quantifies the magnitude of backscattering as a function of moisture content and surface roughness, which are unknown, and the known radar configurations. Estimating surface roughness or soil moisture by solving the IEM with two unknowns is a cla...
متن کاملEstimation of soil moisture using optical, thermal and radar Remote Sensing )Case Study: South of Tehran(
Traditional methods of field measurement of soil moisture in addition to the difficulty, the need for manpower and money and fail to take place on a large scale to be able to show moisture. Therefore, remote sensing has become a widespread use .Landsat 8 satellite data and Sentinel-1 radar satellite from Tehran were provided. 72 soil samples were taken at the same time by satellite passing from...
متن کاملIn-Situ Measurement of Soil Permittivity at Various Depths for the Calibration and Validation of Low-Frequency SAR Soil Moisture Models by Using GPR
At radar frequencies below 2 GHz, the mismatch between the 5 to 15 cm sensing depth of classical time domain reflectometry (TDR) probe soil moisture measurements and the radar penetration depth can easily lead to unreliable in situ data. Accurate quantitative measurements of soil water contents at various depths by classical methods are cumbersome and usually highly invasive. We propose an impr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005