Journal of the Japan society of photogrammetry and remote sensing
Online ISSN : 1883-9061
Print ISSN : 0285-5844
ISSN-L : 0285-5844
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Volume 52, Issue 6
Displaying 1-14 of 14 articles from this issue
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Preface
Original Papers
  • Forest biomass mapping with airborne LiDAR in Yokohama City
    Masato HAYASHI, Yoshiki YAMAGATA, Habura BORJIGIN, Hasi BAGAN, Rikie S ...
    2013 Volume 52 Issue 6 Pages 306-315
    Published: January 14, 2014
    Released on J-STAGE: January 01, 2015
    DOIhttps://doi.org/10.4287/jsprs.52.306
    JOURNAL FREE ACCESS
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    We demonstrate development of a forest biomass map by an efficient methodology using airborne LiDAR data, and validate its accuracy. The study area is Yokohama City, Japan, an area of 437.4 km2. An allometric equation was developed from field measurement data to convert canopy height measured by airborne LiDAR to biomass, and then a map of aboveground biomass (AGB) at 5 m resolution was produced. After validation, the estimation of AGB had a root mean square error of 60.6 Mg ha-1 and an average relative error of 38.7%. The total forest AGB in Yokohama was estimated as 913,450 Mg. The results suggest that airborne LiDAR is suitable for developing a reliable forest biomass map, even for scattered forests in urban area.
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  • Correlation Analysis of Total Coliform and Entropy of Laser Profiler Data
    Toru HIRAOKA, Hirofumi NONAKA
    2013 Volume 52 Issue 6 Pages 316-320
    Published: January 14, 2014
    Released on J-STAGE: January 01, 2015
    DOIhttps://doi.org/10.4287/jsprs.52.316
    JOURNAL FREE ACCESS
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    We analyze and evaluate a correlation of total coliform and entropy of laser profiler data on a monthly basis in the downstream of Oita, Ono and Ototsu River. In addition, we analyze and evaluate the optimal range to use laser profiler data from the total coliform's observation points. As a result of the analysis, we found that the correlation of total coliform of May and entropy of laser profiler data is high, and the correlation is high in the case of using laser profiler data of about 300m radius.
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  • Basic process and analysis of people flow data
    Yoshihide SEKIMOTO
    2013 Volume 52 Issue 6 Pages 321-326
    Published: January 14, 2014
    Released on J-STAGE: January 01, 2015
    DOIhttps://doi.org/10.4287/jsprs.52.321
    JOURNAL FREE ACCESS
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    Recently, monitoring dynamic changes in people flow has become necessary, in order to mitigate secondary disasters following earthquakes, fires or other major events such as the East Great Japan Earthquake. In technical terms, tracking mobile objects by GPS, PHS, CCTV camera, IC (integrated circuit) tickets or mobile phone base station enables us to measure people flow according to various dimensions. This article describes type of spatio-temporal data about people flow and its basic process and analysis for secure and effective use.
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  • Emergence of large-scale data capturing mass population movement and its applications
    Ayumi ARAI, Yoshihide SEKIMOTO
    2013 Volume 52 Issue 6 Pages 327-331
    Published: January 14, 2014
    Released on J-STAGE: January 01, 2015
    DOIhttps://doi.org/10.4287/jsprs.52.327
    JOURNAL FREE ACCESS
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    Emergence of large-scale data such as GPS logs and mobile phone Call Detail Records (CDR) has significantly advanced understanding on mass population movement. Besides studies on human mobility patterns and data mining techniques, applications of such data to address issues in society are being developed rapidly. This article introduces challenges in the application through cases from data challenge contests and efforts in improving public services such as transportation, public health, and disaster management.
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