Web-based Multi-Source Data Broker for Land Observations and Monitoring
Eberle, Jonas; Schmullius, Christiane
Friedrich-Schiller-University Jena, Department for Earth Observation, GERMANY
Web-based access, analysis and download for specific remote sensing data exists in many places on the internet. But if you are just interested in a specific area, a specific time range and a specific dataset, then you can get lost in looking for the correct web-address facing exactly your request. The ''Siberian Earth System Science Cluster'' (SIB-ESS-C) tries to overcome this issue with the build up of an easy to use multi-source data broker for land observations and monitoring. As a multi-source database it provides remote sensing products from NASA MODIS sensor from the satellites Aqua and Terra, as well as data from climate stations from the World Meteorological Organization. As a data broker SIB-ESS-C provides further processing tools on top of the data download to provide data in a specific file formats (e.g. GeoTIFF for raster, CSV for climate station data) and different unit conversions (e.g. Anglo-American to SI-based Units). Data is further provided standard-compliant with specifications from the Open Geospatial Consortium for the usage from other clients.
The system is focused on Siberia but not limited to it. The user can define own study areas and can integrate data from a list of available datasets mainly concentrating on land observations. For MODIS sensor datasets like Land Surface Temperature, Vegetation Indices, Snow Cover, Burned Area and Fire Hotspots are available beside daily summaries of climate station data (Global Surface Summary of the Day dataset). Furthermore some data is available on demand like hourly climate station data from the Integrated Surface Database provided by NOAA (National Oceanic and Atmospheric Administration) or Index-Calculations based on MODIS Surface Reflectance Data. These datasets can be processed automatically on demand and integrated into the system structure.
Having spatial time-series data available, the user can plot the integrated time-series data directly within the web-based system. The user can select which and how many (one or two) datasets should be shown in the plot as well as the time range and the spatial boundary. For the climate station data the user can further select a type of aggregation (monthly, yearly or just a specific season or month). After execution the plot will be generated on the fly and a few seconds later the plot appears below the map. The graphical plot and the generated data as ASCII file can be downloaded for a further usage of the user.
This contribution presents the system architecture and how users can use and benefit from the system, integrating and analysing data on the web as well as downloading data to their own desktop. As an outlook the planned time-series monitoring system is further shown.