Read NAIP images as numpy arrays with Python and GDAL

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In this tutorial in the object-based image analysis with Python series we will read NAIP imagery as numpy arrays in preparation for image analysis. We also go through how to install scipy, scikit-learn, and scikit-image with conda.

  1. Geospatial School
  2. open source
  3. open source options
  4. naip
  5. geobia
  6. obia
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Комментарии
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thank you so much for this video ! I hope you will make more videos in future.

TamNguyen-xikx
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When I try running this through line 16 I get " int object is not callable." Any idea on how to fix it?

raechelportelli
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having lots of trouble getting gdal configured in my conda env, getting the error --> ModuleNotFoundError: No module named '_gdal_array'

tott
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GREAT VIDEO BY ALL STANDARD. I HAVE A PERCULIAR PROBLEM AT HAND THAT I WANT YOU TO HELP ME SOLVE. I HAVE TWO RASTER FILES TO PROCESS. I WANT TO USE ONE OF THE RASTERS AS AN INDEPENDENT CATEGORY AND THE OTHER RASTER AS AN EVIDENCE CATEGORY. FOR EACH PIXEL VALUE IN RASTER 1, I WANT TO OBTAIN ITS CORRESPONDING PIXEL VALUE IN RASTER 2 AND DO SAME ACROSS THE ENTIRE RASTER. AT THE END OF THE DAY, MY INDEPENDENT FACTORS (PIXEL CLASS) WILL COME FROM RASTER 1 AND THEIR CORRESPONDING PIXEL CLASS WILL ALSO COME FROM THE EVIDENCE MAP (RASTER 2) SO I CAN USE THEM IN TRAINING THE MODEL. PLEASE DO YOU HAVE ANY IDEA ABOUT HOW THIS IS DONE USING PYTHON OR ANY OTHER SOFTWARE?.PLEASE KNIDLY RESPOND

johnowusukonduah