Crop-Classification
Provides codes for crop classification using multi temporal satellite images.
https://github.com/bhavesh907/Crop-Classification
Keywords
agricultural-modelling agriculture-research crop-classification satellite-images
Last synced: over 1 year ago
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Repository metadata
crop classification using deep learning on satellite images
- Host: GitHub
- URL: https://github.com/bhavesh907/Crop-Classification
- Owner: bhavesh907
- Created: 2018-10-16T17:50:52.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-01-18T17:03:48.000Z (over 4 years ago)
- Last Synced: 2024-01-20T03:33:46.414Z (over 1 year ago)
- Topics: agricultural-modelling, agriculture-research, crop-classification, satellite-images
- Language: Jupyter Notebook
- Homepage:
- Size: 3.91 MB
- Stars: 81
- Watchers: 3
- Forks: 34
- Open Issues: 3
- Releases: 0
-
Metadata Files:
- Readme: README.md
README.md
Crop Classification with Multi-Temporal Satellite Imagery
This repo provides codes for crop classification using multi temporal satellite images. Crop classification is important for understanding the supplies of a crop. The satellite images can be helpful in monitoring crop growth and health in near real-time. Today, high-resolution satellite images are available at a daily frequency. With high-frequency data and multiple bands, it's possible to classify crops using deep learning.
There are many classical machine learning crop classification approaches available which use mono-temporal images and use the spectral and textural properties of a crop which results in relatively low accuracy but we’ll use the method suggested by Rose M. Rustowicz author of the paper
Installation
conda create --name geo_py37 python=3.7
conda install gdal rasterio
conda install numpy pandas geopandas scikit-learn jupyterlab matplotlib seaborn xarray rasterstats tqdm pytest sqlalchemy scikit-image scipy pysal beautifulsoup4 boto3 cython statsmodels future graphviz pylint line_profiler nodejs sphinx
Dataset
You can download the dataset used in this repo from Gdrive
The dataset consists of 10 RapidEye satellite images provided by the planet.com and 1 USDA Cropland data layer which provides the pixel level crop labels.
Usage
- Run the data-preprocessing.ipynb to prepare the dataset for our models.
- To classify the crops based on NDVI index, run NDVI_based.ipynb
- Train the DL model using the script Crop_classification_DL_model.ipynb
Owner metadata
- Name:
- Login: bhavesh907
- Email:
- Kind: user
- Description:
- Website:
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- Company:
- Icon url: https://avatars.githubusercontent.com/u/21203664?v=4
- Repositories: 1
- Last ynced at: 2023-03-27T11:54:12.874Z
- Profile URL: https://github.com/bhavesh907
GitHub Events
Total
- Issues event: 5
- Watch event: 92
- Issue comment event: 10
- Push event: 24
- Fork event: 37
- Create event: 2
Last Year
- Fork event: 9
- Issue comment event: 2
- Watch event: 22
Committers metadata
Last synced: over 1 year ago
Total Commits: 25
Total Committers: 3
Avg Commits per committer: 8.333
Development Distribution Score (DDS): 0.2
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| bhavesh907 | b****7@g****m | 20 |
| bhavesh paatidar | b****r@c****m | 3 |
| bhavesh patidar | b****r@b****k | 2 |
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Issue and Pull Request metadata
Last synced: over 1 year ago
Total issues: 4
Total pull requests: 0
Average time to close issues: 5 days
Average time to close pull requests: N/A
Total issue authors: 4
Total pull request authors: 0
Average comments per issue: 2.25
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- ezcoth (1)
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Score: 5.529429087511423