Enhanced Implementation of a NOAA Satellite Image Reception System with Software-Defined Radio for Climate Change Monitoring in Agriculture

Monitoring climate change is critical for the agricultural sector to adapt to increasing environmental challenges. This paper presents the design, implementation, and -validation of a low-cost NOAA satellite image reception system using Software-Defined Radio (SDR). The proposed solution enables real-time acquisition of meteorological data to support informed agricultural decisionmaking. We describe the system architecture, signal decoding methodology, and results obtained from multiple field experiments under varying conditions. The system demonstrated consistent performance and generated usable imagery with minimal infrastructure. This work contributes to the development of affordable tools for environmental monitoring, particularly in rural and educational contexts.

Authors

Institutions

Publication Details

Published
2025-06-18
DOI
https://doi.org/10.1109/mhtc65808.2025.11086448
Primary Topic
Precipitation Measurement and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced Implementation of a NOAA Satellite Image Reception System with Software-Defined Radio for Climate Change Monitoring in Agriculture

Daniel-A García Briones, R. Nava, Georgina-G Rosas Guevara, José-A Mastranzo Tepechco et al.
Precipitation Measurement and Analysis
article

Enhanced Implementation of a NOAA Satellite Image Reception System with Software-Defined Radio for Climate Change Monitoring in Agriculture

Daniel-A García Briones, R. Nava, Georgina-G Rosas Guevara, José-A Mastranzo Tepechco, Miguel-A Rosales Carreón
article en

Abstract

Monitoring climate change is critical for the agricultural sector to adapt to increasing environmental challenges. This paper presents the design, implementation, and -validation of a low-cost NOAA satellite image reception system using Software-Defined Radio (SDR). The proposed solution enables real-time acquisition of meteorological data to support informed agricultural decisionmaking. We describe the system architecture, signal decoding methodology, and results obtained from multiple field experiments under varying conditions. The system demonstrated consistent performance and generated usable imagery with minimal infrastructure. This work contributes to the development of affordable tools for environmental monitoring, particularly in rural and educational contexts.

Instituto Tecnológico de Puebla (MX)
Climate action
Openalex Percentile: Top 75%
Precipitation Measurement and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.