Litcius/Paper detail

Synergizing machine learning and interpolation methods: A Stacking framework for global-scale satellite soil moisture gap filling

Jiaming Rong, Jiangyuan Zeng, Kun‐Shan Chen, Hongliang Ma, Pengfei Shi, Husi Letu, Xiang Zhang, Xihui Gu, Haiyun Bi, Chunlin Zhang

2025Remote Sensing of Environment7 citationsDOI

Topics & Concepts

Missing dataInterpolation (computer graphics)Random forestMachine learningBoosting (machine learning)Artificial intelligenceComputer scienceGradient boostingAlgorithmArtificial neural networkStackingSupport vector machineConvolutional neural networkBilinear interpolationLasso (programming language)Alternating decision treeDeep learningDecision treeGround truthData miningRemote sensingLand coverMultivariate interpolationEnsemble learningPattern recognition (psychology)Active learning (machine learning)SatelliteFeature selectionSoil Moisture and Remote SensingSoil Geostatistics and MappingSynthetic Aperture Radar (SAR) Applications and Techniques
Synergizing machine learning and interpolation methods: A Stacking framework for global-scale satellite soil moisture gap filling | Litcius