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Interannual and seasonal variations of permafrost thaw depth on the Qinghai-Tibetan Plateau: A comparative study using long short-term memory, convolutional neural networks, and random forest

Qi Liu, Jie Niu, Ping Lü, Feifei Dong, Fujun Zhou, Xianglian Meng, Wei Xu, Shan Li, Bill X. Hu

2022The Science of The Total Environment31 citationsDOI

Topics & Concepts

PermafrostEnvironmental scienceRandom forestPlateau (mathematics)Convolutional neural networkLaggingClimatologyClimate changePhysical geographyGlobal warmingGeologyMachine learningComputer scienceStatisticsGeographyMathematicsMathematical analysisOceanographyClimate change and permafrostCryospheric studies and observationsArctic and Antarctic ice dynamics
Interannual and seasonal variations of permafrost thaw depth on the Qinghai-Tibetan Plateau: A comparative study using long short-term memory, convolutional neural networks, and random forest | Litcius