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GIS professionals have all done vectorization data processing, tracing buildings and roads in imagery point by point, with sore eyes and aching hands.
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In April this year, I discussed Togo's proposal in "West African Country Togo Protests to the United Nations over the World Map Projection."
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Recently, the global open source geospatial conference FOSS4G 2026 concluded in Hiroshima, Japan.
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I previously shared an evaluation of remote sensing foundation models by an overseas expert in “Evaluating 89 Remote Sensing Foundation Models: Most Are Not Ready for Direct Use”.
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In the GIS industry, when we talk about LiDAR or 3D point clouds, we tend to think of professional data acquisition equipment, dedicated software, and high costs.
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When it comes to Rwanda, many of us immediately think of "learning from China."
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Recently, remote sensing large models and geospatial foundation models have attracted widespread attention.
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ArcGIS Pro 3.7 has been out for quite a while now.
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On July 30, Google integrated the image generation model Nano Banana 2 into the web version of Google Earth, allowing users to use conversational prompts to "transform" real locations based on actual satellite, aerial, and 3D imagery.
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Recently, the European Union passed a resolution to delay the public release of data from the Copernicus programme’s Sentinel-1 and Sentinel-2 satellites covering a small area of the Gulf of Oman by 24 hours.