MAESon: Machine learning and Artificial intelligence for Earth Science 🌍🤖
MAESon is an open-source geospatial software designed to leverage machine learning (ML) and artificial intelligence (AI) techniques for Earth science applications. This project provides tools for analyzing and processing geospatial data, making it accessible for research, environmental monitoring, and decision-making.
Features 🚀
- 🛰 Remote Sensing Data Processing: Support for multispectral and LiDAR datasets.
- 🌊 Hydrological & Ecological Analysis: Tools for analyzing water bodies, vegetation, and land cover.
- 🏗 Geospatial Machine Learning: Built-in models for classification, segmentation, and prediction.
- 📊 Data Visualization: Interactive mapping and statistical insights.
Installation 💾
git clone https://github.com/yourusername/MAESon.git
cd MAESon
pip install -r requirements.txt
Release files for maeson 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| maeson-0.0.6.tar.gz | 30.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| maeson-0.0.6-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 50.4 kB
Release files / maeson-0.0.6.tar.gz
| Download URL | maeson-0.0.6.tar.gz |
|---|---|
| Size | 30.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.3
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Release files / maeson-0.0.6-py2.py3-none-any.whl
| Download URL | maeson-0.0.6-py2.py3-none-any.whl |
|---|---|
| Size | 19.5 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.3
|