Using python gdal.BuildVRTOptions()

Unleash the Magic of GDAL’s BuildVRTOptions() in Python: A Human’s Guide If you’re wrestling with geospatial data, especially rasters, GDAL (Geospatial Data Abstraction Library) is your Swiss Army knife. And within GDAL’s Python toolbox, BuildVRTOptions()? That’s like the secret sauce for creating Virtual Raster Datasets (VRTs). Think of a VRT as a clever illusion –

Does not accept in raster calculator variable s the number QGIS

Taming the QGIS Raster Calculator: Numbers Don’t Lie (Usually!) So, you’re wrestling with the QGIS Raster Calculator, huh? It’s a beast of a tool, no doubt, letting you crunch numbers on your raster layers pixel by pixel. But sometimes, those numbers just don’t seem to want to cooperate. You’re not alone! I’ve spent my fair

Direct DBMS sql queries and ArcSDE geodatabase

Diving Deep: Direct SQL Queries and Your ArcSDE Geodatabase If you’re a GIS pro knee-deep in the Esri world, you know that wrangling spatial data can be both a blessing and a curse. One thing that’s absolutely key is understanding how direct Database Management System (DBMS) SQL queries play with your ArcSDE geodatabase. Think of

Show only polygon of interest in Atlas, QGIS

Zoom In: Showing Only Your Area of Interest in QGIS Atlas QGIS, or Quantum GIS if you’re feeling formal, is a fantastic open-source tool for playing around with maps and spatial data. Think of it as your digital cartographer’s Swiss Army knife. One of its coolest tricks is the Atlas tool. Ever needed to churn

Combining multiple DEMs into one file geodatabase

Wrangling DEMs: From Scattered Files to a Smooth Geodatabase Digital Elevation Models, or DEMs, are the unsung heroes of GIS. They’re basically the digital equivalent of those cool 3D maps you might’ve seen as a kid, showing you the lay of the land. If you’re working with terrain data, you’re almost certainly using DEMs. Now,

How to identify feature from multiple layers in QGIS?

Digging Deep: Identifying Features Across Layers in QGIS QGIS, that trusty open-source Geographic Information System, is packed with tools. And one of the handiest? The ability to identify features even when they’re stacked on top of each other in multiple layers. Think of it like this: you’ve got a map showing roads, buildings, and underground

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