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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Article

Enhancing maritime domain awareness through ship detection in satellite imagery

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).

通过卫星船舶监测提升海上领域意识

Translated by Dr. Mengyi Jin

海上领域意识(Maritime Domain Awareness, MDA)在海事领域面临着诸多挑战。卫星技术的应用,为大范围、持续性的海域监测提供了重要支持。在该背景下,合成孔径雷达(SAR)因其全天候的能力而脱颖而出,广泛应用于环境监测、国防系统等多个领域。此外,卫星星座(satellite constellations)具备诸多优势,如全球覆盖、定期重访、远程可达以及海量数据获取能力(Sandau et al., 2010;Graziano et al., 2012)。

Capacity Building and Training Material

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

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.