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International Journal of Remote Sensing Volume 38, 2017 - Issue 4
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Articles

Estimating work and home population using lidar-derived building volumes

Yun ZhaoCenter for Applications of Remote Sensing, Department of Geography, Oklahoma State University, Stillwater, OK, 74078, USAView further author information
,
Gustavo A. Ovando-MontejoCenter for Applications of Remote Sensing, Department of Geography, Oklahoma State University, Stillwater, OK, 74078, USAView further author information
,
Amy E. FrazierCenter for Applications of Remote Sensing, Department of Geography, Oklahoma State University, Stillwater, OK, 74078, USACorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0003-4552-4935View further author information
ORCID Icon,
Adam J. MathewsCenter for Applications of Remote Sensing, Department of Geography, Oklahoma State University, Stillwater, OK, 74078, USAORCID Iconhttp://orcid.org/0000-0002-5577-4308View further author information
ORCID Icon,
K. Colton FlynnCenter for Applications of Remote Sensing, Department of Geography, Oklahoma State University, Stillwater, OK, 74078, USAView further author information
&
Emily A. EllisCenter for Applications of Remote Sensing, Department of Geography, Oklahoma State University, Stillwater, OK, 74078, USAView further author information
Pages 1180-1196 | Received 11 Nov 2016, Accepted 02 Jan 2017, Published online: 23 Jan 2017

Citations (17)

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Dongrui Han, Xiaohuan Yang, Hongyan Cai, Xinliang Xu, Zhi Qiao, Chuanzhou Cheng, Nan Dong, Dong Huang & Andi Liu. (2019) Modelling spatial distribution of fine-scale populations based on residential properties. International Journal of Remote Sensing 40:14, pages 5287-5300.
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Articles from other publishers (16)

Bin Wu, Chengshu Yang, Qiusheng Wu, Congxiao Wang, Jianping Wu & Bailang Yu. (2023) A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity. Computers, Environment and Urban Systems 99, pages 101911.
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Yang Wang, Xiaoli Yue, Cansong Li, Min Wang, Hong’ou Zhang & Yongxian Su. (2022) Relationship between Urban Three-Dimensional Spatial Structure and Population Distribution: A Case Study of Kunming’s Main Urban District, China. Remote Sensing 14:15, pages 3757.
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Yiyi Huang, Tao Lin, Guoqin Zhang, Wei Zhu, Nicholas A. S. Hamm, Yuqin Liu, Junmao Zhang & Xia Yao. (2022) Exploring the Relationship between the Spatial Distribution of Different Age Populations and Points of Interest (POI) in China. ISPRS International Journal of Geo-Information 11:4, pages 215.
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Steve Frolking, Tom Milliman, Richa Mahtta, Aaron Paget, David G. Long & Karen C. Seto. (2022) A global urban microwave backscatter time series data set for 1993–2020 using ERS, QuikSCAT, and ASCAT data. Scientific Data 9:1.
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Adam J. Mathews & Son V. Nghiem. 2021. Urban Remote Sensing. Urban Remote Sensing 17 45 .
Franz Schug, David Frantz, Sebastian van der Linden & Patrick Hostert. (2021) Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates. PLOS ONE 16:3, pages e0249044.
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Mengyu Ge, Shenghui Fang, Yan Gong, Pengjie Tao, Guang Yang & Wenbing Gong. (2021) Understanding the Correlation between Landscape Pattern and Vertical Urban Volume by Time-Series Remote Sensing Data: A Case Study of Melbourne. ISPRS International Journal of Geo-Information 10:1, pages 14.
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Hongxing Chen, Bin Wu, Bailang Yu, Zuoqi Chen, Qiusheng Wu, Ting Lian, Congxiao Wang, Qiaoxuan Li & Jianping Wu. (2021) A New Method for Building-Level Population Estimation by Integrating LiDAR, Nighttime Light, and POI Data. Journal of Remote Sensing 2021.
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Guanwei Zhao & Muzhuang Yang. (2020) Urban Population Distribution Mapping with Multisource Geospatial Data Based on Zonal Strategy. ISPRS International Journal of Geo-Information 9:11, pages 654.
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Mengmeng Li, Elco Koks, Hannes Taubenböck & Jasper van Vliet. (2020) Continental-scale mapping and analysis of 3D building structure. Remote Sensing of Environment 245, pages 111859.
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Tilottama Ghosh, Luca Coscieme, Sharolyn J. Anderson & Paul C. Sutton. (2020) Building Volume Per Capita (BVPC): A Spatially Explicit Measure of Inequality Relevant to the SDGs. Frontiers in Sustainable Cities 2.
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Drew R. Michanowicz, Samuel R. Williams, Jonathan J. Buonocore, Sebastian T. Rowland, Katherine E. Konschnik, Shaun A. Goho & Aaron S. Bernstein. (2019) Population allocation at the housing unit level: estimates around underground natural gas storage wells in PA, OH, NY, WV, MI, and CA. Environmental Health 18:1.
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Peter Kedron, Yun Zhao & Amy E. Frazier. (2019) Three dimensional (3D) spatial metrics for objects. Landscape Ecology 34:9, pages 2123-2132.
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Monteiro, Martins, Murrieta-Flores & Moura Pires. (2019) Spatial Disaggregation of Historical Census Data Leveraging Multiple Sources of Ancillary Information. ISPRS International Journal of Geo-Information 8:8, pages 327.
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Deborah L. Balk, Son V. Nghiem, Bryan R. Jones, Zhen Liu & Gillian Dunn. (2019) Up and out: A multifaceted approach to characterizing urbanization in Greater Saigon, 2000–2009. Landscape and Urban Planning 187, pages 199-209.
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Adam J. Mathews, Amy E. Frazier, Son V. Nghiem, Gregory Neumann & Yun Zhao. (2019) Satellite scatterometer estimation of urban built-up volume: Validation with airborne lidar data. International Journal of Applied Earth Observation and Geoinformation 77, pages 100-107.
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