Automated L-Band Radar System for Sensing Soil Moisture at High Temporal Resolution

作者：Nagarajan Karthik^*; Liu Pang Wei; Deroo Roger; Judge Jasmeet; Akbar Ruzbeh; Rush Patrick; Feagle Steven; Preston Daniel; Terwilleger Robert

来源：IEEE Geoscience and Remote Sensing Letters, 2014, 11(2): 504-508.

DOI：10.1109/LGRS.2013.2270453

• NASA Soil Moisture Active Passive (SMAP)
• radar
• soil moisture (SM)

The ground-based University of Florida L-band Automated Radar System (UF-LARS) was developed to obtain observations of normalized radar backscatter (sigma(0)) at high temporal resolution for soil moisture applications. The system was mounted on a 25 m manlift with capabilities of antenna positioning for multi-angle data acquisition and ranging. The RF subsystem of UF-LARS was based upon the established designs for ground-based scatterometers employing a vector network analyzer with simultaneous acquisition of V-and H-polarized returns. System integration and automated data acquisition were enabled using a software control system. Fifteen-minute observations of sigma(0) collected over a growing season of sweet-corn and bare soil conditions in North Central Florida, were used to study the sensitivity of sigma(0) to growing vegetation and near-surface (0-5 cm) soil moisture (SM0-5). On average, sigma(0)(VV) were observed to be 23% higher than sigma(0)(HH) during the mid-and late-stages of crop growth due to the vertical structure of stems. The correlation between 3-day observations of SM0-5 and s(VV)(0) reduced by 55% compared to those obtained for <= 30-min observations. These findings suggested that data set at high temporal frequencies can be used to develop more realistic and robust forward backscattering models.

• 出版日期2014-2