
Styled Layer Descriptor - Open Geospatial Consortium
This standard defines an encoding that extends the WMS standard to allow user-defined symbolization and coloring of geographic feature and coverage data.
ogc.org →This standard defines an encoding that extends the WMS standard to allow user-defined symbolization and coloring of geographic feature and coverage data. (Hover over Type for full description) Document title Version OGC Doc No. Type OpenGIS Styled Layer Descriptor Profile of the Web Map Service Implementation Specification 1.1.0 05-078r4 IS Styled Layer Descriptor Profile of the Web Map Service Implementation Specification 1.1 05-078 D-DP OpenGIS Styled Layer Descriptor (SLD) Implementation Specification 1.0 02-070 D-IS OWS-6 Styled Layer Descriptor (SLD) Changes ER 0.3.0 09-015 PER The OpenGIS® Styled Layer Descriptor (SLD) Profile of the OpenGIS® Web Map Service (WMS) Interface Standard defines an encoding that extends the WMS standard to allow user-defined symbolization and coloring of geographic feature and coverage data. SLD addresses the need for users and software to be able to control the visual portrayal of the geospatial data. The ability to define styling rules requires a styling language that the client and server can both understand. The OpenGIS® Symbology Encoding Standard (SE) provides this language, while the SLD profile of WMS enables the application of SE to WMS layers using extensions of WMS operations. Additionally, SLD defines an operation for standardized access to legend symbols. Members of the public can review draft standards and share feedback to ensure they are practical and widely applicable. OGC Seeks Public Comment on Proposed 3D Tiles 2.0 Community Standard Work Item The Open Geospatial Consortium (OGC) Federated Maritime Spatial Data Infrastructure (FMSDI) Pilot is... Earlier in this series, I introduced four common challenges that I frequently encounter... Artificial Intelligence (AI) is reshaping how we understand our world. From disaster response...
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Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).