H038-0021
Ultra-Wideband Radar for Drone-based Soil Moisture Measurements

Tuesday, 8 December 2020
Poster
Christopher Simpson1, Shriniwas Kolpuke1, Abhishek Kumar Awasthi1, Tuan Luong1, Sama S Memari1, Natalie Nickerson1, Omid Reyhanigalangashi2, Jordan Larson1, Stephen Yan1, Ryan Taylor1, Prabhakar Clement1 and Sivaprasad Gogineni1, (1)Remote Sensing Center, University of Alabama, Tuscaloosa, AL, United States, (2)Remote Sensing Center, University of Alabama, Tuscaloosa, United States
Abstract:
Soil moisture is a key variable that controls land-atmosphere interactions in hydrological models. Soil moisture levels control evaporation, runoff and infiltration processes. Microwave sensors operating in 1-6 GHz range have been effective in measuring surface soil moisture. Global measurements of soil moisture with passive microwave sensors have also been demonstrated. However, the resolution of satellite-based passive microwave sensors is poor, and retrieval of soil moisture information over inhomogeneous terrain is difficult. There is a need for fine-resolution soil moisture measurements to support both scientific modeling research and operational applications.

The Remote Sensing Center at the University of Alabama has developed a compact, ultra-wideband microwave radar operating over the frequency range of 2-6 GHz drone-based soil moisture measurements. We designed and developed a flexible radar system that allows us to easily change the frequency of operation. A direct digital synthesizer (DDS) driven ultrawideband voltage-controlled oscillator (VCO) with phase-locked loop (PLL) enables us to generate an ultra-linear chirp of up to 10 GHz bandwidth. We have also developed a custom ultrawideband antenna to provide the desired beam pattern and meet the bandwidth requirements. We designed the system to collect data over incidence angles between 0 and 50 degrees with adequate signal-to-noise ratio. The radar performance is verified using simulated targets in the laboratory, and the measured impulse response is close to the theoretical. We have integrated the radar with a hybrid multirotor unmanned aircraft system (UAS) that can be operated within FAA limits. The long endurance and low speed capability of the hybrid multirotor aircraft minimizes motion-related errors. In August 2020, we will conduct a field campaign and collect data at test sites near Tuscaloosa, AL. Radar measurements will be calibrated and validated against detailed in-situ measurements collected using soil moisture probes. In this paper, we will discuss the design and development of radar, measurements, and the field results collected from bare and vegetation-covered soils.