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2

You could try the Quick OSM plugin for QGIS. Input the following information shown in the image below and hit run query. Once this has ran you'll get some temporary layers showing your buildings. You can then save this as you see fit.


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Building on what @JohnPowell said in the comments, you can make a join that is based on a spatial intersection. If you have a spatial index setup, this should have much better performance than a cross join. If you do not have a spatial indexes, you can create them directly in PostgreSQL using SQL or use the QGIS DB Manager to create them with a GUI. Example ...


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I'm not exactly sure what you're looking for, but if it is to pare down the landcover layer to only water/not water, then you can do something like the following, which selects only the LC_Type1 band, loops through each image in the image collection and creates a boolean output for whether or not the band value equals 17. var Landcover = ee.ImageCollection("...


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Found on IBM (title: Single-precision floating-point (FLOAT or REAL)) A single-precision floating-point number is a 32-bit approximation of a real number. The number can be zero or can range from -3.4028234663852886e+38 to -1.1754943508222875e-38, or from 1.1754943508222875e-38 to 3.4028234663852886e+38. That being said: i think you can name it as "...


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