Remote Sensing and Machine Learning Fusion: A Robust Framework for Land Use and Land Cover Change Detection
Author:
Affiliation:
1. R.S.A.C Dr. APJ Abdul Kalam University,School of Geoinformatics,Lucknow,India
2. Delhi Technological University,Department of Information Technology,New Delhi,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10502393/10502381/10503360.pdf?arnumber=10503360
Reference19 articles.
1. Forecasting of Satellite Based Carbon-Monoxide Time-Series Data Using a Deep Learning Approach
2. A Systematic Review on Advancements in Remote Sensing for Assessing and Monitoring Land Use and Land Cover Changes Impacts on Surface Water Resources in Semi-Arid Tropical Environments
3. Effect of Seasonal Variations and Impact Assessment of COVID-19 Lockdown on Water Quality Status of Hindon River, Ghaziabad
4. Assessing the status of changing regimes of water bodies in Gorakhpur District, Uttar Pradesh, India
5. Classification of land use/land cover using artificial intelligence (ANN-RF)
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