Crops Classification Using Machine Learning And Google Earth Engine-Reference-Cited by-同舟云学术

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Crops Classification Using Machine Learning And Google Earth Engine

Published:2023-11-22 Issue: Volume:14 Page:1-8
ISSN:
Container-title:2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA)
language:
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Author:

Achahboun Chakir¹,Chikhaoui Mohamed¹,Naimi Mustapha¹,Bellafkih Mostafa²

Affiliation:

1. IAV HASSAN 2,Ressources Naturelles et Environnement,Rabat,Morocco

2. Institut National des Postes et Télécommunications,Rabat,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10373588/10373590/10373760.pdf?arnumber=10373760

Reference24 articles.

1. Land Cover Classification in an Ecuadorian Mountain Geosystem Using a Random Forest Classifier, Spectral Vegetation Indices, and Ancillary Geographic Data

2. Machine learning for neuroimaging with scikit-learn

3. Climate change and global water resources

4. Satellite Remote Sensing of Particulate Matter Air Quality: The Cloud-Cover Problem

5. From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations

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