This technology allows to bring your maps to the Internet with nothing else than the usual web browser. It's very easy to use and it offers high-quality detailed maps combined with analytical and statistics capabilities, following the most common OGC standards.
Some examples of the MiraMon Map Browser can be seen here.
The user is able to perform queries to the data in a more dynamic way, apply spatial filters, enhance contrast, changes palettes, create diagrams (e.g. histograms and pie charts), generate animations and graphics of a time series, and performing complex calculations among the coverage bands of the different available datasets.
Several layers of data coming from different servers and using different protocols can be overlaid simultaneously. Some layers represent data from a single dataset while other can be a virtual datasets computed on the flight in each zoom and pan, and created by combining data from more than one dataset and server.
The legend has two functions: on one hand, it provides information on the visualized information in the map view and on the other provides control to what is going to be visualized.
Histograms and pie charts from the current view
Connection to the QualityML dictionary
MiraMon Server is a stand-alone CGI application that runs on Windows operating systems that can be used in combination with a web server such as Internet Information Server or Apache for Windows. It is the ideal solution for people that already uses MiraMon professional on desktop because it uses the same MiraMon formats in the back-end. MiraMon server is based on the same libraries that are used by MiraMon professional and has the same capabilities in terms of CRS support, interpolation algorithms, MMZX compression, etc. One particularity of the software is the internal tiled schema required to serve maps and tiles in a fast and scalable way. MiraMon Server uses OGC web services as a baseline for the interaction to the client. Currently, MiraMon server provides support for the following standards:
The Sensor Observing Service capacity is used in tandem with the Web Feature Service and uses the same MiraMon topologically structured formats in the back-end. It has been developed in the Ground Truth 2.0 project to server interoperable data from the Citizen Observatories created during the project. The current implementation is incomplete and only supports GetFeatureOfInterest and GetObservation operation with limited capabilities. The objective of the minimum capabilities developed was to respond to the requirements of a viewer client needs to represent a map of the features of interest provided by the service and to allow for a query in a point to get more information about the observations there. Each dataset in MiraMon becomes an observedProperty in the SOS service. Each observation is a position in a PNT file that has a DBF record associated that is transformed to an O&M DataRecord automatically. Internally, it is possible to mark field names in the DBF that are associated to concepts in the O&M such as the phenomenon time and the user name.
The Open Data Cube, is a system developed to easy access, manage and analyse a multidimensional cube (x, y and t bands) of RS data. The main idea behind the datacube chases after minimizing the required knowledge to access and process remote sensing data and work efficiently with time series, thus transforming how users interact with large spatio-temporal RS data. In fact, the Open Data Cube is an open source initiative participated by several organizations from CEOS to CSIRO. The DC is based on a set of Python libraries and PostGreSQL database that helps on working with geospatial rasters, with special emphasis on analysis ready data.
Go to the MiraMon Map Browser GitHub following this link.