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- 03-Intro-to-GIS
bwsi-hadr / 03-Intro-to-GIS
Introduction to Geopandas, vector data, and spatial analysis
Language:Jupyter Notebook 3 - 00-course-overview
Course overview, syllabus, etc. for the BWSI summer remote sensing course
An introduction and review of python, numpy, and other programming tools and concepts
Language:Jupyter Notebook 1Network lecture is based off of the osmnx-examplescode and the Automating GIS Processes from the University of Helsinki
Language:Jupyter Notebook 1Working with image data, extract information, and perform basic operations and transformations
Language:Jupyter Notebook 1- Language:Jupyter Notebook 0
This lecture looks into processing DEM data and satellite imagery from Landsat using rasterio and Google Earth Engine.
Language:Jupyter Notebook 0Student created code in support of the final 2019 BWSI exercise.
Language:Jupyter Notebook 0- Language:Jupyter Notebook
Use a Flask framework with GET and POST requests to access and transfer images.
Language:Pythonusing R Studio to download, process, and analyze night time satellite imagery from the VIIRS constellation.
Language:RThis repository accesses images from a Raspberry Pi 0 W and inserts them into a MongoDB database.
Language:PythonAnalyze images taken on a Raspberry Pi and present them through a flask application
Language:PythonFiles in this repository are used on a Raspberry Pi to take images
Language:PythonIntro to data science for BWSI-Remote Sensing
Language:Jupyter Notebookpiman51277 / sar-demo
A web-based simulation of Synthetic Aperature Radar and Backprojection.
Language:TypeScript