Effective management of forest resources requires suitable, up-to-date information on the state, extent and distribution of forest. Remote Sensing data can provide this inforniation. To enable the use of remote sensing data for global forest monitoring, provisions are required to allow operational processing of the data to standardized products. A scenario for the development of a Forest Assessment and Monitoring Environment is presented. Firstly, a pilot RESPAS is developed, a suitable tool for forest iiianageinent, to compile information on global forests. Secondly, RFSPAS is upgraded to iinprcive its fiinctionality and to intrcduce FMS. Thirdly. RESPAS is extended by introducing reinote sensing data from newly launched sensors. By introducing this threestep approach, standardized remote sensing products will become available for use in sustainable forest management giving information on the state, extent and distribution of tropical forests.

Several base elements for the provision of quality of service guarantees have been developed in the recent past. Of these, the Differentiated Services (DiffServ) architecture stands out as the most promising. In spite of this, various issues remain, especially when multidomain DiffServ services are concerned. In this case, some forms of distributed management of Service Level Agreements that allow the specification, exchange, enforcement and monitoring of quality of service data must be in place. Although, again, some isolated solutions exist for each of these problems, considerable effort is necessary to make them work together. The project presented in this paper tried to assess the feasibility of providing differentiated quality of service in satellite IP networks, by developing a dynamic Service Level Agreement management solution for an IP over Digital Video Broadcast Satellite system. The functionality of the implemented system comprises system configuration, dynamic SLA negotiation, QoS monitoring and metering, SLA conformance checking, and QoS reporting to customers.

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