Sentinel Application Platform (SNAP)

The Sentinel Application Platform (SNAP) architecture is ideal for Earth Observation processing and analysis due to the following technological innovations: Extensibility, Portability, Modular Rich Client Platform, Generic EO Data Abstraction, Tiled Memory Management, and a Graph Processing Framework.

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Enhancing maritime domain awareness through ship detection in satellite imagery

Enhancing maritime domain awareness through ship detection in satellite imagery

Sea

Maritime Domain Awareness (MDA) confronts significant challenges in the maritime domain, leveraging satellite technologies that play a role in enabling extensive and consistent area mapping. In this case, Synthetic Aperture Radar (SAR) stands out for its all-weather capability, serving as a crucial tool for applications ranging from environmental monitoring to defense systems (Ulaby and Long, 2014).

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Capacity Building and Training Material

ARSET - Agricultural crop classification with synthetic aperture radar and optical remote sensing

ARSET - Agricultural crop classification with synthetic aperture radar and optical remote sensing

Training banner with satellite image

Overview

For years, mapping of crop types and assessment of their characteristics has been carried out to monitor food security, inform optimal use of the landscape, and contribute to agricultural policy. High-quality crop mapping has become a requirement for most nations given its importance in national and international economics, trade, and food security, and is a major topic of interest in the domains of policy, economics, and land management.

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