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Limner

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  • GeospatialMachine LearningSoftware Engineering

    Adeel Hassan

    Jason Gilman

    Introducing the new Limner (formerly Queryable Earth): Conversational, Composable, and Traceable

    We discuss the evolution of Limner Embedding Search into Limner (formerly Queryable Earth), including a more conversational experience.

  • GeospatialMachine LearningSoftware Engineering

    Adeel Hassan

    Jason Gilman

    Introducing the new Limner (formerly Queryable Earth): Conversational, Composable, and Traceable

    We discuss the evolution of Limner Embedding Search into Limner (formerly Queryable Earth), including a more conversational experience.

  • Machine LearningSoftware Engineering

    Brian Andres

    Building and Validating LLM-Generated Captions and Embeddings for Geospatial Imagery in Limner (formerly Queryable Earth)

    At Element 84, we’ve been exploring how LLMs can improve geospatial imagery search. We recently published a blog post detailing our latest updates to our Limner (formerly Queryable Earth) demo which lets users search for visible features on the Earth using natural language. Until recently, it relied entirely on SkyCLIP, an open-source vision-language model, to…

  • Machine Learning

    Jason Gilman

    Brian Andres

    Adeel Hassan

    Limner (formerly Queryable Earth) Demo Update: Now with Change Detection! 

    We detail how we used our research surrounding Limner (formerly Queryable Earth) and natural language geocoding to demonstrate data accessibility in an intuitive and interactive way – and how you might be able to harness some of the same ideas in your own work. 

  • Machine LearningCloud ComputingSoftware Engineering

    Adeel Hassan

    Building a queryable Earth with vision-language foundation models

    We take a close look at two such remarkable VLMs that have come out in the past few months and, using these models, we build a prototype “queryable Earth” functionality that allows retrieving images along with their geolocations using text queries over a large geographical area.

    An outline of the state of Massachusetts with several locations noted on the map depicting a single tree in an empty field.
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