Web mapping application for operative fire and water services

Abstract

This thesis’ scope describes requirements and implementation for web-based processing and workflow creation for the retrieval of remote sensing products like fire hotspots and water services based on National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) data. Service chains to retrieve the remote sensing products for the desired regions is implemented where statistical analysis can be applied after. The work is conducted in the context of the Environmental and Crisis Information System (UKIS) which is being developed at German Remote Sensing Data Center (DFD) as a modular framework and allows for the construction of information systems that rely both on remote sensing data produced at DFD and external web-enabled data services (e.g. water gauges), thus providing higher-level information for situation awareness and decision support. A MODIS Web service which provides users with subsets of MODIS Land Products through standard based Simple Object Access Protocol (SOAP) Web service is called within a Python- based Representational State Transfer (REST) module to get the available dates for the selected MODIS product level. A separate Python-based REST module script is built to search for available satellite data that will match the selected tile numbers as well as the selected dates. The retrieved MODIS data will get exposed to the process chain where the higher-level MODIS products will be generated. An interface to retrieve and expose the retrieved archived data to the process chain was integrated; the user of this system can select interactively the desired region that he/she would like to get archived satellite data for according to the date period and product level and process it with the developed processing services and workflows.