Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development
Thi Qar University · King Saud University · +10 more institutions
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Abstract
No abstract available for this paper.
Citation impact
109
total citations
- FWCI
- 37.08
- Percentile
- 100%
- References
- 143
Citations per year
Authors
9- CBChaitanya B. PandeCorresponding
Thi Qar University, King Saud University, Al-Ayen Iraqi University, Universiti Tenaga Nasional
- JCJohnbosco C. Egbueri
Chukwuemeka Odumegwu Ojukwu University
- RCRomulus Costache
University of Bucharest, King Saud University, Transylvania University of Brașov, National Institute of Hydrology and Water Management, Danube Delta National Institute for Research and Development
- LMLariyah Mohd Sidek
Universiti Tenaga Nasional
- QWQingzheng Wang
Lanzhou University
Topics & keywords
Topics
Keywords
- Normalized Difference Vegetation Index
- Environmental science
- AdaBoost
- Ensemble learning
- Satellite
- Evapotranspiration
- Ensemble forecasting
- Remote sensing
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