Abstract
This paper describes the development of a sensor web based approach which combines earth observation and in situ sensor data to derive typical information offered by a dynamic web mapping service (WMS). A prototype has been developed which provides daily maps of vegetation productivity for the Netherlands with a spatial resolution of 250 m. Daily available MODIS surface reflectance products and meteorological parameters obtained through a Sensor Observation Service (SOS) were used as input for a vegetation productivity model. This paper presents the vegetation productivity model, the sensor data sources and the implementation of the automated processing facility. Finally, an evaluation is made of the opportunities and limitations of sensor web based approaches for the development of web services which combine both satellite and in situ sensor sources.
Highlights
To facilitate environmental resource management of intensively populated countries like the Netherlands, integrated information systems which are capable of real-time monitoring of fundamental processes in the environment, as well as providing vital hazard warnings, are required
Use of common standards is an important requirement for upscaling of the developed facility, both in terms of number of sensors and inclusion of new sensor types
In this article we have presented a sensor web based approach which combines earth observation and in situ sensor data to derive near real-time vegetation productivity products
Summary
To facilitate environmental resource management of intensively populated countries like the Netherlands, integrated information systems which are capable of real-time monitoring of fundamental processes in the environment, as well as providing vital hazard warnings, are required. Sensor networks covering various geographical and temporal scales are an important source of information for this task. They allow vast amounts of relevant information to be collected with a high temporal frequency for a network of point locations that are remote, inaccessible, or lack the necessary resources to acquire such information in a different manner [1]. For a comprehensive monitoring system to provide timely information, a combination of in situ and space based sensors offers a synergetic configuration [4]. The sensor observations provide data and information; scientific models use these data and produce predictive results which are provided to end-users to assist the decision making process [5]
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