2015
DOI: 10.1117/12.2194525
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Development of the Philippine Hydrologic Dataset (PHD) from LiDAR and other remotely-sensed data

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Cited by 1 publication
(2 citation statements)
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“…The upstream area threshold value marked the transition from debris flow-dominated channels to alluvial channels. The position of the DEM-derived stream networks were in good visual agreement with the position of channels in Google Earth imagery and within close proximity to the stream networks mapped through the PHD program [36,37]. DEMs typically contain artefacts and errors that propagate into topographic analyses [46], meaning that derived attributes such as stream slope vary over short distances [47].…”
Section: Topographic Analysessupporting
confidence: 64%
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“…The upstream area threshold value marked the transition from debris flow-dominated channels to alluvial channels. The position of the DEM-derived stream networks were in good visual agreement with the position of channels in Google Earth imagery and within close proximity to the stream networks mapped through the PHD program [36,37]. DEMs typically contain artefacts and errors that propagate into topographic analyses [46], meaning that derived attributes such as stream slope vary over short distances [47].…”
Section: Topographic Analysessupporting
confidence: 64%
“…The high-quality topographic data have also been used for resource mapping applications as part of the Phil-LiDAR 2 Program [33,35]. Alongside additional remote sensing products (e.g., satellite imagery), the topographic data have been used to map stream networks, river catchments, irrigation networks and inland wetlands through the Development of the Philippine Hydrologic Dataset for Watersheds from LiDAR Surveys (PHD project) [36,37]. The hydrological dataset contains information on 770 principal river basins (catchment area > 40 km 2 ) but attribute information is limited to a small number of simple descriptors (e.g., catchment area and length of stream network lines).…”
Section: Introductionmentioning
confidence: 99%