https://github.com/Seyed-Ali-Ahmadi/Python-for-Remote-Sensing

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
https://github.com/Seyed-Ali-Ahmadi/Python-for-Remote-Sensing

deep-learning gdal gdal-python gdal-python-libraries hyperspectral-image-classification hyperspectral-imaging lidar lidar-point-cloud machine-learning multispectral-images pdal point-cloud python python-pdal remote-sensing satellite-data satellite-imagery satellite-images scikit-learn spacenet-dataset

Last synced: 3 months ago
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python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

• Host: GitHub
• URL: https://github.com/Seyed-Ali-Ahmadi/Python-for-Remote-Sensing
• Owner: Seyed-Ali-Ahmadi
• Created: 2019-07-28T05:40:13.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-02-13T11:25:56.000Z (over 2 years ago)
• Last Synced: 2024-05-16T01:35:09.018Z (6 months ago)
• Topics: deep-learning, gdal, gdal-python, gdal-python-libraries, hyperspectral-image-classification, hyperspectral-imaging, lidar, lidar-point-cloud, machine-learning, multispectral-images, pdal, point-cloud, python, python-pdal, remote-sensing, satellite-data, satellite-imagery, satellite-images, scikit-learn, spacenet-dataset
• Language: Jupyter Notebook
• Homepage: https://www.earthobserv.com/
• Size: 4.25 MB
• Stars: 31
• Watchers: 5
• Forks: 12
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-earthobservation-code - Python-for-remote-sensing - `Python` codes for remote sensing applications will be uploaded. [blog](https://earthobserv.com/) (`Python` processing of optical imagery (non deep learning) / Processing imagery - post processing)

README

        
# python-for-remote-sensing

python codes for remote sensing applications will be uploaded here.

For detailed inforamtion you can visit my website http://earthobserv.com/

## Content

### Satellite image analysis

- [read ENVI images](http://earthobserv.com/2019/06/30/manipulate-envi-image-files-in-python-using-gdal/)

- [calculate NDVI from Landsat 8](http://earthobserv.com/2019/06/30/manipulate-envi-image-files-in-python-using-gdal/)

- [read .tif images](http://earthobserv.com/2019/06/09/read-satellite-images-with-python-and-gdal/)

### Point cloud processing

- [read point cloud - laspy - 1](http://earthobserv.com/2019/06/10/lidar-point-cloud-processing-with-python-part-1/)

- [read point cloud - laspy - 2](http://earthobserv.com/2019/06/10/lidar-point-cloud-processing-with-python-part-2-laspy/)

- [estimate normal to cloud](http://earthobserv.com/2019/06/19/point-cloud-normal-estimation-using-simple-methods/)

### Image processing 

- [histogram](http://earthobserv.com/2019/07/03/image-processing-with-python-and-opencv-image-histogram/)

- [spatial filtering](http://earthobserv.com/2019/07/03/image-processing-with-python-and-opencv-image-spatial-filtering/)