23 May 2013 Usage of data-encoded web maps with client side color rendering for combined data access, visualization, and modeling purposes
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Proceedings Volume 8747, Geospatial InfoFusion III; 87470K (2013); doi: 10.1117/12.2016325
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States
Current approaches to satellite observation data storage and distribution implement separate visualization and data access methodologies which often leads to the need in time consuming data ordering and coding for applications requiring both visual representation as well as data handling and modeling capabilities. We describe an approach we implemented for a data-encoded web map service based on storing numerical data within server map tiles and subsequent client side data manipulation and map color rendering. The approach relies on storing data using the lossless compression Portable Network Graphics (PNG) image data format which is natively supported by web-browsers allowing on-the-fly browser rendering and modification of the map tiles. The method is easy to implement using existing software libraries and has the advantage of easy client side map color modifications, as well as spatial subsetting with physical parameter range filtering. This method is demonstrated for the ASTER-GDEM elevation model and selected MODIS data products and represents an alternative to the currently used storage and data access methods. One additional benefit includes providing multiple levels of averaging due to the need in generating map tiles at varying resolutions for various map magnification levels. We suggest that such merged data and mapping approach may be a viable alternative to existing static storage and data access methods for a wide array of combined simulation, data access and visualization purposes.
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Denis Pliutau, Narasimha S. Prasad, "Usage of data-encoded web maps with client side color rendering for combined data access, visualization, and modeling purposes", Proc. SPIE 8747, Geospatial InfoFusion III, 87470K (23 May 2013); doi: 10.1117/12.2016325; https://doi.org/10.1117/12.2016325

Data modeling

Data storage


Data conversion

Visual process modeling

Image compression

Optical filters


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