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Small Area Population Estimation with High‐Resolution Remote Sensing and Lidar
This chapter contains sections titled:
Introduction
Study sites and data
Methodology
Results
Discussion and conclusions
Acknowledgments
References
Small Area Population Estimation with High‐Resolution Remote Sensing and Lidar
This chapter contains sections titled:
Introduction
Study sites and data
Methodology
Results
Discussion and conclusions
Acknowledgments
References
Small Area Population Estimation with High‐Resolution Remote Sensing and Lidar
Yang, Xiaojun (editor) / Wang, Le (author) / Cardenas, Jose‐Silvan (author)
Urban Remote Sensing ; 183-193
2011-04-15
11 pages
Article/Chapter (Book)
Electronic Resource
English
small area population estimation ‐ with high‐resolution remote sensing and lidar , Goodness of fit ‐ of seven population estimation models , building detection method ‐ error maps, built through comparing detection mask from each method with reference building footprint layer in raster format , population estimation uncertainty analysis ‐ calibrated models, using extracted buildings' layer and classified land‐use layers , small‐area population estimation ‐ important task, attention from remote sensing community , data preprocessing, building extraction and land use classification ‐ raster layers, derived from Lidar point cloud and CIR photograph , accuracy assessment of four building detection methods ‐ pixel and object levels , Defense Meteorological Satellite Program Operational Linescan System (DMSP‐OLS) imagery for population estimation , remote sensing, in estimating populations ‐ in large areas , Dempster–Shafer method, for detecting buildings ‐ over entire study area
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