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Noe
- Rate R597
- Response 1h
R597/h
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- Maths
- Statistics
Ex CERN researcher with 10 years of experience. I am looking forward to meeting great students and taking them to the next level!
- Maths
- Statistics
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About Noe
those from the traditional photogrammetric techniques (Paolo Gamba and Houshmand, 2000, Gamba and Houshmand, 2002, Priestnall et al., 2000, Stilla et al., 2003). The extraordinary capability of airborne LiDAR in gathering highly accurate and densely sampled surface elevation measurements over urban areas allows for an accurate delineation of the footprints of buildings (Ma, 2005, Yu et al., 2009b, Zhang et al., 2006) and reconstruction of the 3D building shapes (Forlani et al., 2006, Gamba and Houshmand, 2002, Rottensteiner, 2003).
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About the lesson
- Primary
- Secondary
- Matric/GCSE
- +4
levels :
Primary
Secondary
Matric/GCSE
BTech
Adult education
Masters
MBA
- English
Languages in which the lesson is available :
English
Previously, Remote Sensing images and GIS have been employed to extract urban building information. Various remotely sensed data and classification methods have been used to derive the building coverage area (e.g., Gamba and Houshmand, 2000, Lhomme et al., 2009, Paparoditis et al., 1998, Shufelt, 1999, Thiele et al., 2007). In order to compute FAR, aerial stereo photogrammetry, InSAR data (Luckman and Grey, 2003, Thiele et al., 2007), and SRTM3 data (Liao et al., 2007) have been used to derive building height values. An average floor height value is often selected to estimate the total number of floors (Liao et al., 2007, Pan et al., 2008), and the gross floor area is calculated by multiplying the building coverage area to the floors’ count. The complex building shape is often neglected in previous studies (Pan et al., 2008
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Rates
Rate
- R597
Package rates
- 5h: R2985
- 10h: R5970
online
- R597/h
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