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NOAA Image Data Acquisition to Determine Soil Moisture in Arequipa - Perú
Universidad Privada de Tacna, Peru.
Universidad Católica de Santa María, Peru.
Universidad Nacional San Agustin de Arequipa, Peru.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Electronics.
2021 (English)In: IEEE Transactions on Nuclear Science, ISSN 0018-9499, E-ISSN 1558-1578, Vol. 68, no 8, p. 1933-1936Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE , 2021. Vol. 68, no 8, p. 1933-1936
Keywords [en]
Antenna, automatic picture transmission (APT) signals, National Oceanic and Atmospheric Administration (NOAA) image, RealTek (RTL) receiver
National Category
Environmental Engineering
Identifiers
URN: urn:nbn:se:hig:diva-36110DOI: 10.1109/TNS.2021.3087351ISI: 000687247300057Scopus ID: 2-s2.0-85111066770OAI: oai:DiVA.org:hig-36110DiVA, id: diva2:1563708
Available from: 2021-06-10 Created: 2021-06-10 Last updated: 2021-10-29Bibliographically approved

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Chilo, José

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CiteExportLink to record
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Citation style
  • apa
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