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Conclusions:Human error at photogrammetry datahandling is linked to the density of canopyand light shadow. These two error sourcescontribute uncertainty toward the geo-hazard potential assessment, an averageerror of 65% more than the LiDAR data.Checked by the ground truth data.GIS assessment model with Unstable Indexmethod based upon these two dataset hasa margin of 17% in hazard prediction.