A New Method for Building-Level Population Estimation by Integrating LiDAR, Nighttime Light, and POI Data

<div class="floats-full-page floats-full-page-other"><h2>Table 1</h2><div class="floats-full-page-caption"><div>The description of POI data categories.</div></div><div class="floats-full-page-content"><table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr /></td></tr><tr class="thead"><td class="align_left">POI categories</td><td class="align_center">Number of records</td><td class="align_center">Reclassified POI categories</td></tr><tr><td class="thead-hr" colspan="3"><hr /></td></tr><tr><td class="align_left">Residential community</td><td class="align_center">1,114</td><td class="align_center">Residential</td></tr><tr><td class="align_center" colspan="3"><hr /></td></tr><tr><td class="align_left">Hotel</td><td class="align_center">297</td><td class="align_center" rowspan="8">Service</td></tr><tr><td class="align_left">Catering</td><td class="align_center">1,892</td></tr><tr><td class="align_left">Shopping</td><td class="align_center">69</td></tr><tr><td class="align_left">Landmarks</td><td class="align_center">29</td></tr><tr><td class="align_left">Financial</td><td class="align_center">562</td></tr><tr><td class="align_left">Business</td><td class="align_center">526</td></tr><tr><td class="align_left">Retail</td><td class="align_center">4,614</td></tr><tr><td class="align_left">Entertainment</td><td class="align_center">688</td></tr><tr><td class="align_center" colspan="3"><hr /></td></tr><tr><td class="align_left">Industry</td><td class="align_center">6</td><td class="align_center" rowspan="2">Industry and commerce</td></tr><tr><td class="align_left">Corporations</td><td class="align_center">5,207</td></tr><tr><td class="align_center" colspan="3"><hr /></td></tr><tr><td class="align_left">Public facilities</td><td class="align_center">539</td><td class="align_center" rowspan="7">Institutional</td></tr><tr><td class="align_left">Media</td><td class="align_center">82</td></tr><tr><td class="align_left">Education</td><td class="align_center">460</td></tr><tr><td class="align_left">Life service</td><td class="align_center">315</td></tr><tr><td class="align_left">Healthcare</td><td class="align_center">397</td></tr><tr><td class="align_left">Sports</td><td class="align_center">47</td></tr><tr><td class="align_left">Government</td><td class="align_center">776</td></tr><tr><td class="align_center" colspan="3"><hr /></td></tr><tr><td class="align_left">Traffic facilities</td><td class="align_center">1,270</td><td class="align_center" rowspan="2">Transportation</td></tr><tr><td class="align_left">Automobile services</td><td class="align_center">327</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr" /></td></tr></table></td></tr></table></div></div>

Table 1 | A New Method for Building-Level Population Estimation by Integrating LiDAR, Nighttime Light, and POI Data

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Table 1: A New Method for Building-Level Population Estimation by Integrating LiDAR, Nighttime Light, and POI Data

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Table 1

About this journal

<p>The <em>Journal of Remote Sensing</em>, an Open Access journal published in association with AIR-CAS, promotes the theory, science, and technology of remote sensing, as well as interdisciplinary research within earth and information science.</p>


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<p>The <em>Journal of Remote Sensing’s</em> editorial board is led by Yirong Wu (Aerospace Information Research Institute, Chinese Academy of Sciences)&nbsp;and is comprised of experts who have made significant and well recognized contributions to the field.</p>


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<p><em>Journal of Remote Sensing</em> is now accepting submissions for its first two special issues:</p>

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