Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China.
Huimian LiGuilian ZhangQicheng ZhongLuqi XingHuaqiang DuPublished in: Remote. Sens. (2023)
Keyphrases
- machine learning
- supervised classification
- prediction accuracy
- multispectral
- prediction model
- active learning
- case study
- computer science
- stock market
- data mining
- satellite images
- multispectral images
- learning tasks
- predictive modeling
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- remote sensing
- machine learning algorithms
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- real estate
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- explanation based learning
- remote sensing images
- knowledge acquisition
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- spatial analysis
- satellite imagery
- protein secondary structure prediction
- image processing
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- financial time series
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- inductive logic programming
- learning systems
- computational intelligence
- supervised learning
- semi supervised
- support vector machine
- long term
- image analysis
- artificial neural networks
- decision trees