GIS/Remote Sensing Documents¶
Contact Info
Email: men.vuthy@ymail.com
LinkedIn: Men Vuthy
GitHub: https://github.com/menvuthy
This website contains three main sections: Projects, Documentations, and Lessons.
Projects
This section describes the technical solution to solve various topics including land cover classification, flood water surface extraction, forest cover, etc.
Documentations
This section describes the programming technics in different applications including LiDAR, geo-python, Google Earth Engine, machine learning and deep learning.
Lessons
This section provides full lessons to understand the basic concepts of programming and scientific data analysis using Python programming language.
Contents¶
Projects
- 2020
- 2021
- 2022
- 𝗞𝗮𝗻𝗼 & 𝗬𝗼𝘀𝗵𝗶𝗶 𝗿𝗶𝘃𝗲𝗿: 𝗟𝗮𝗻𝗱 𝗰𝗼𝘃𝗲𝗿 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘂𝘀𝗶𝗻𝗴 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴
- 𝗠𝗮𝗽𝗽𝗶𝗻𝗴 𝗳𝗹𝗼𝗼𝗱 𝗳𝗿𝗲𝗾𝘂𝗲𝗻𝗰𝘆 𝗶𝗻 𝗖𝗮𝗺𝗯𝗼𝗱𝗶𝗮 𝗳𝗿𝗼𝗺 𝟭𝟵𝟴𝟴 𝘁𝗼 𝟮𝟬𝟮𝟬 𝘂𝘀𝗶𝗻𝗴 𝗚𝗼𝗼𝗴𝗹𝗲 𝗘𝗮𝗿𝘁𝗵 𝗘𝗻𝗴𝗶𝗻𝗲
- 𝗟𝗮𝗻𝗱 𝗰𝗼𝘃𝗲𝗿 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘂𝘀𝗶𝗻𝗴 𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗺𝗲𝘁𝗵𝗼𝗱 𝗶𝗻 𝗚𝗼𝗼𝗴𝗹𝗲 𝗘𝗮𝗿𝘁𝗵 𝗘𝗻𝗴𝗶𝗻𝗲
- 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗳𝗼𝗼𝘁𝗽𝗿𝗶𝗻𝘁 𝗼𝗳 𝗖𝗮𝗺𝗯𝗼𝗱𝗶𝗮 𝗶𝗻 𝗚𝗼𝗼𝗴𝗹𝗲 𝗘𝗮𝗿𝘁𝗵 𝗘𝗻𝗴𝗶𝗻𝗲
- 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 & 𝗡𝗲𝗮𝗿 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗟𝗮𝗻𝗱 𝗨𝘀𝗲 𝗟𝗮𝗻𝗱 𝗖𝗼𝘃𝗲𝗿 𝗠𝗮𝗽𝗽𝗶𝗻𝗴 - 𝗖𝗮𝗺𝗯𝗼𝗱𝗶𝗮
Documentations
- LiDAR
- Geo-Python
- Read & visualize raster image using xarray
- Classify iris dataset with random forest classifier
- Create a subplot figure
- Interactive geoplots in dashboard layout with Bokeh
- Convert GPS-tracked bus movement data from JSON to GeoJSON format
- Create water occurrence image from yearly satellite images
- Download forecast precipitation dataset from CHIRPS-GEFS website using Python
- Calculate daily average potential evaporation from 3-year dataset for Source Model
- Convert from Vector to Raster
- Google Earth Engine
- Machine Learning
- Deep Learning