https://github.com/hamedalemo/raster-data-tutorial
Notebooks to learn basics of geospatial raster data processing in Python
https://github.com/hamedalemo/raster-data-tutorial
geospatial geospatial-analysis geospatial-processing geospatial-rasters python
Last synced: about 1 month ago
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Notebooks to learn basics of geospatial raster data processing in Python
- Host: GitHub
- URL: https://github.com/hamedalemo/raster-data-tutorial
- Owner: HamedAlemo
- License: mit
- Created: 2024-10-24T01:49:41.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-31T15:41:38.000Z (over 1 year ago)
- Last Synced: 2025-01-15T10:57:46.015Z (over 1 year ago)
- Topics: geospatial, geospatial-analysis, geospatial-processing, geospatial-rasters, python
- Language: Jupyter Notebook
- Homepage:
- Size: 1.58 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Geospatial Raster Data Processing in Python
This repository contains an introduction to geospatial raster data processing in Python. This is part of the course on [Advanced Geospatial Analytics with Python](https://hamedalemo.github.io/advanced-geo-python/intro.html) taught since Fall 2023 at Clark University.
## Requirements
You need to have Docker installed on your machine.
## Instructions
Clone this repository to your local machine:
```
git clone git@github.com:HamedAlemo/raster-data-tutorial.git
```
Change your directory to the cloned repository:
```
cd raster-data-tutorial
```
To run the container, you have two options:
### Option 1 - Pull Docker image from DockerHub (Recommended):
It's recommended to pull the Docker image from DockerHub. Otherwise, if you prefer, you can build your own image using the instructions in the following option.
```
docker pull hamedalemo/raster-tutorial:1.2
```
```
docker run -it -p 8888:8888 -p 8787:8787 -v $(pwd):/home/gisuser hamedalemo/raster-tutorial:1.2
```
- Copy the Jupyter Lab url and paste it in your browser.
- Open `raster_analysis.ipynb` and `raster_processing.ipynb`, and follow the instructions.
### Option 2 - Build your Docker image:
```
docker build -t raster-tutorial:1.2 .
```
Run the container as following after switching to the repository's directory locally:
```
docker run -it -p 8888:8888 -p 8787:8787 -v $(pwd):/home/gisuser raster-tutorial:1.2
```
- Copy the Jupyter Lab url and paste it in your browser.
- Open `raster_analysis.ipynb` and `raster_processing.ipynb`, and follow the instructions.