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Prediction of land surface temperature using spectral indices, air pollutants, and urbanization parameters for Hyderabad city of India using six machine learning approaches

Gourav Suthar, Saurabh Singh, Nivedita Kaul, Sumit Khandelwal

2024Remote Sensing Applications Society and Environment19 citationsDOI

Topics & Concepts

Mean squared errorEnvironmental scienceRandom forestUrbanizationAir quality indexMean absolute percentage errorSupport vector machineStatisticsAir pollutionMean absolute errorRanking (information retrieval)MeteorologyLinear regressionGeographyMathematicsComputer scienceMachine learningOrganic chemistryEconomic growthChemistryEconomicsUrban Heat Island MitigationNoise Effects and ManagementBuilding Energy and Comfort Optimization
Prediction of land surface temperature using spectral indices, air pollutants, and urbanization parameters for Hyderabad city of India using six machine learning approaches | Litcius