Estimating the spatial distribution of the population of Riyadh, Saudi Arabia using remotely sensed built land cover and height data

Author:

Alahmadi Mohammed,Atkinson Peter,Martin David

Publisher

Elsevier BV

Subject

Urban Studies,General Environmental Science,Ecological Modeling,Geography, Planning and Development

Reference39 articles.

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2. Binard, M., Devriendt, D., Cornet, Y., & Donnay, J. -P. (2006). Analysis of buildings height computed on a DSM generated from a VHR satellite stereopair. Paper presented at the proceedings of the first workshop of the EARSeL special interest group on urban remote sensing “Challenges and Solutions”, Berlin, Germany.

3. Introduction to remote sensing;Campbell,2006

4. Charaniya, A. P., Manduchi, R., & Lodha, S. K. (2004). Supervised parametric classification of aerial LiDAR data. Paper presented at computer vision and pattern recognition workshop, 2004. Conference on CVPRW ‘04. Washington, DC.

5. LandScan: A global population database for estimating populations at risk;Dobson;Photogrammetric Engineering and Remote Sensing,2000

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