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Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA)

Chuanpeng Zhao, Mingming Jia, Zongming Wang, Dehua Mao, Yeqiao Wang

2023ISPRS Journal of Photogrammetry and Remote Sensing69 citationsDOI

Topics & Concepts

Random forestInterpretabilityMangroveBlack boxComputer scienceArtificial intelligenceFalse positive paradoxElevation (ballistics)Vegetation (pathology)Machine learningData miningPattern recognition (psychology)Remote sensingGeographyMathematicsEcologyGeometryBiologyPathologyMedicineFlood Risk Assessment and ManagementSoil erosion and sediment transportRemote Sensing and LiDAR Applications
Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA) | Litcius