Development of a Dynamic Web Mapping Service for Vegetation Productivity Using Earth Observation and in situ Sensors in a Sensor Web Based Approach

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.

Data and monitoring needs for a more ecological agriculture

“…However, an integrated information infrastructure foundation will be needed to transform raw data into useful products, and thereby ensuring effectiveness. Standards-based data transfer protocols from Open Geospatial Consortium (Nash et al 2009, Kooistra et al 2009 have been developed to seamlessly integrate multiple data sources.…”

Geo-information

“…Such an infrastructure has been baptised the sensor web and when location of the sensor is an essential component of the information collected, such a system is called geosensor web or geosensor network (Nittel et al, 2008). A prototype of such an application, developed by Wageningen University, the Netherlands, combines earth observation data and in situ sensor data for daily mapping of vegetation productivity for the Netherlands with a ground sample distance (GSD) of 250 m (Kooistra et al, 2009). Fixed and mobile sensors connected to the web are able to observe many different spatial and temporal phenomena, such as weather, traffic flow on highways, embankments along rivers, earthquakes, volcanism and forests under threat of wild fires.…”

PostGIS-Based Heterogeneous Sensor Database Framework for the Sensor Observation Service

“…Also taking a look at the contents and the processes in dynamic systems such as in [11], [2], [12], [13] and in the OGC Web Processing Services, they provide clients access and results based on pre-programmed calculations and/or computation models that operate on the spatial data. To enable geospatial processing and operations of diverse kinds, from simple subtraction and addition of sensor observations (e.g.…”

“…For example in monitoring of crop Actual Evapotranspiration at some locations in most cases involves aggregation of remote and in-situ sensor observations [1]. Remote and in-situ sensor data aggregation for real-time calculation of daily crop Gross Primary Productivity GPP such as implemented in a dynamic web mapping service for vegetation productivity [2] and in the marine information system [3] are good examples too.…”