Visualizing Distributions from Multi-Return Lidar Data to Understand Forest Structure

Spatially distributed probability density functions (pdfs) are becoming more relevant to Earth scientists and ecologists because of stochastic models and new sensors that provide numerous realizations or data points per unit area. One source of these data is from multi-return airborne lidar, a type...

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Veröffentlicht in:	Cartographic journal 2005-06, Vol.42 (1), p.35-47
Hauptverfasser:	Kao, David L., Kramer, Marc G., Love, Alison L., Dungan, Jennifer L., Pang, Alex T.
Format:	Artikel
Sprache:	eng
Schlagworte:	Areal geology. Maps DENSITY ESTIMATION Earth sciences Earth, ocean, space Exact sciences and technology Geologic maps, cartography GEOVISUALIZATION INTERACTIVE VISUALIZATION LIDAR MODE FINDING PROBABILITY DENSITY FUNCTIONS
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