Global resource management: a systems approach to environmental problems

D. Atwood
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Abstract

The end ofthe Cold War offers an unprecedented opportunity to move defense technology into the arena of the commercial information age. One example of this conversion is Raytheon's Wide Area Surveillance (WAS) initiative, designed to provide information products to the public and governmental agencies of developing nations. Specifically, the WAS system integrates sensors, storage technology, data fusion techniques, and rule-based reasoning tools into a system capable of converting raw data from disparate sources into the products needed to support: environmental monitoring and protection; national resource development; economic development; and national sovereignty. A real-world application of this process is the WAS program designed to assist the Brazilian government with the sustainable development of the Amazon rain forest. The goal of this presentation is to address the objectives and methods of Wide Area Surveillance programs. The size and complexity of Brazil's System for the Vigilance of the Amazon (SIVAM) will offer an excellent forum for discussing the challenges of data acquisition, sensor fusion, system integration, and program financing in developing nations. The SIVAM program addresses issues such as illegal mining, deforestation, air and water pollution, protection of indigenous peoples, land use, smuggling, and narcotics trafficking.
全球资源管理:解决环境问题的系统方法
冷战的结束为国防技术进入商业信息时代提供了前所未有的机会。这种转变的一个例子是雷声公司的广域监视(WAS)计划,旨在向发展中国家的公共和政府机构提供信息产品。具体来说,WAS系统将传感器、存储技术、数据融合技术和基于规则的推理工具集成到一个系统中,该系统能够将来自不同来源的原始数据转换为所需的产品,以支持:环境监测和保护;国家资源开发;经济发展;以及国家主权。这一过程的一个实际应用是WAS项目,该项目旨在帮助巴西政府实现亚马逊雨林的可持续发展。本演讲的目的是阐述广域监控项目的目标和方法。巴西亚马逊警戒系统(SIVAM)的规模和复杂性将为讨论发展中国家在数据采集、传感器融合、系统集成和项目融资方面的挑战提供一个极好的论坛。SIVAM项目涉及非法采矿、森林砍伐、空气和水污染、保护土著人民、土地使用、走私和贩毒等问题。
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