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

A. Argume, R. Coaguila, Pablo Raul Yanyachi Aco Cardenas, J. Chilo

Research output: Contribution to journalArticlepeer-review


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 NOAA (National Oceanic and Atmospheric Administration) 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 RTL SDR receiver, two 137-138 Mhz designed antennas, Orbitron, SDRSharp, WXTolmag and MatLab software. 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.

Original languageEnglish
JournalIEEE Transactions on Nuclear Science
StateAccepted/In press - 2021

Bibliographical note

Publisher Copyright:


  • antenna
  • Antenna radiation patterns
  • automatic picture transmission signals
  • Dipole antennas
  • NOAA image
  • RTL receiver
  • Satellite antennas
  • Satellite broadcasting
  • Satellites
  • Software
  • US Government agencies


Dive into the research topics of 'NOAA Image Data Acquisition to Determine Soil Moisture in Arequipa-Perú'. Together they form a unique fingerprint.

Cite this