Integrating Long term Satellite Data and Machine Learning to Spatiotemporal Fire Analysis in Hour al Azim International Wetland

Hashemi, Seyed Fazel; Mohammad Asgari, Hossein

doi:10.1007/s11270-024-07233-y

Water Air Soil Pollut

2024

DOI: 10.1007/s11270-024-07233-y

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Integrating Long term Satellite Data and Machine Learning to Spatiotemporal Fire Analysis in Hour al Azim International Wetland

Seyed Fazel Hashemi,

Hossein Mohammad Asgari

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Forecasting Wetland Transformation to Dust Source by Employing CA-Markov Model and Remote Sensing: A Case Study of Shadgan International Wetland

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Asgari,

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Integrating Long term Satellite Data and Machine Learning to Spatiotemporal Fire Analysis in Hour al Azim International Wetland

Cited by 1 publication

References 64 publications

Forecasting Wetland Transformation to Dust Source by Employing CA-Markov Model and Remote Sensing: A Case Study of Shadgan International Wetland

Forecasting Wetland Transformation to Dust Source by Employing CA-Markov Model and Remote Sensing: A Case Study of Shadgan International Wetland

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