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In recent years, irrigations have been built on dry areas in Majes-Arequipa. Over time, the irrigations water forms moist areas in lower areas, which can have positive or negative consequences. Therefore, it is important to know in advance where the water from the new irrigation will appear. The limited availability of real-time satellite image data is still a hindrance to some applications. Data from environmental satellites National Oceanic and Atmospheric Administration (NOAA) are available fee and license free. In order to receive data, users must obtain necessary equipment. In this work, we present a satellite data acquisition system with an RealTek (RTL) software-defined radio (SDR) receiver, two 137-138-MHz designed antennas, and Orbitron, SDRSharp, WXtolMG, and MATLAB softwares. We have designed two antennas: a turnstile crossed dipole antenna with Balun and a quadrifilar helicoidal antenna. The antennas' parameter measurements show very good correspondence with those obtained by simulation. The RTL SDR RTL2832U receiver, combined with our antennas and software, forms the system for recording, decoding, editing, and displaying automatic picture transmission (APT) signals. The results show that the satellite image receptions are sufficiently clear and descriptive for further analysis.

NOAA Image Data Acquisition to Determine Soil Moisture in Arequipa, Perú