NooElec GOES Weather Satellite SDR Bundle - NESDR SMArTee XTR, Receive LRIT/HRIT/HRPT Images, White

The NooElec GOES Weather Satellite SDR Bundle is a comprehensive solution for enthusiasts and professionals seeking to capture detailed, high-resolution images from orbiting weather satellites. Ideal for meteorologists, researchers, and hobbyists, this bundle enables users to receive LRIT, HRIT, and HRPT transmissions with remarkable ease and accuracy.

This bundle includes everything needed to set up a reliable weather satellite receiver. The 21dBi parabolic reflector antenna, designed for optimal performance at a center frequency of 1.7GHz, ensures you can capture signals from various satellites operating in the 1.6GHz-1.8GHz range. With a straightforward setup process of as little as one hour, users can start receiving images in no time. The included NESDR SMArTee XTR SDR receiver and SAWbird+ GOES LNA module work together to ensure error-free reception. The 10m LMR400 cable and additional adapters facilitate a hassle-free installation.

• Complete bundle for receiving GOES (HRIT & LRIT), NOAA HRPT, Meteor M2 HRPT, and other satellites.
• Includes a high-gain 21dBi parabolic reflector antenna for superior signal reception.
• Equipped with NESDR SMArTee XTR SDR receiver for seamless data acquisition.
• SAWbird+ GOES LNA module enhances signal clarity and reduces noise.
• 10m LMR400 cable and necessary adapters included for full connectivity.
• Compatible with various software solutions, including the recommended SatDump, available on multiple operating systems.
• Backed by a full 2-year warranty directly from NooElec for peace of mind.

This GOES Weather Satellite SDR Bundle is perfect for anyone looking to delve into satellite meteorology or enhance their weather tracking capabilities. Whether you are a seasoned professional or an eager beginner, this bundle provides the necessary tools to obtain accurate and timely satellite imagery. With easy installation and reliable performance, it empowers users to explore the dynamics of weather patterns effectively.