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Google Maps has been updated to display the destruction in Rafah, Gaza, as part of conflict-related mapping.
The author describes building a world model harness that coordinates research agents to maximize evaluation metrics, achieving a 25x score improvement in a multimodal masked reconstruction task using geospatial inputs.
Introduces JUGAAD, a deep learning framework that uses autoencoders and census/geospatial data to downscale socioeconomic indicators in India from coarse survey resolution to fine-grained village-cluster scale, validated against district-level NSSO data.
GeoLibre v2.2 is a free, open-source GIS platform update adding terrain-aware 3D measurement, timelapse plugin, advanced symbology, and many other features.
This paper proposes a scalable framework using satellite imagery and building morphology to map intra-urban affluence variation across Indian cities, validated with ground-level observations.
This paper introduces methods to decompose location embeddings from geographic implicit neural representations into human-interpretable features, such as sparse latent concepts, natural language concepts, and visual features, revealing geographic structures like forests and urban areas.
Google has released a new high-resolution satellite imagery map of Brazil's forests from 2008, available in Google Earth and Earth Engine, to help authorities track deforestation progress.