bwsi

Introduction to Geopandas, vector data, and spatial analysis

Course overview, syllabus, etc. for the BWSI summer remote sensing course

An introduction and review of python, numpy, and other programming tools and concepts

Network lecture is based off of the osmnx-examplescode and the Automating GIS Processes from the University of Helsinki

Working with image data, extract information, and perform basic operations and transformations

Analyze images taken on a Raspberry Pi and present them through a flask application

A tutorial about using the git repositories required for the JEFFRIS project.

Visualization and shapes

This lecture looks into processing DEM data and satellite imagery from Landsat using rasterio and Google Earth Engine.

Initial setup notebook for BWSI HADR course

Student created code in support of the final 2019 BWSI exercise.

Intro to data science for BWSI-Remote Sensing

Use a Flask framework with GET and POST requests to access and transfer images.

A web-based simulation of Synthetic Aperature Radar and Backprojection.

Files in this repository are used on a Raspberry Pi to take images

using R Studio to download, process, and analyze night time satellite imagery from the VIIRS constellation.

This repository accesses images from a Raspberry Pi 0 W and inserts them into a MongoDB database.