Search Results - "Park, Jong Geol"

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  1. 1

    Cropland Mapping Using Fusion of Multi-Sensor Data in a Complex Urban/Peri-Urban Area by Nduati, Eunice, Sofue, Yuki, Matniyaz, Akbar, Park, Jong, Yang, Wei, Kondoh, Akihiko

    Published in Remote sensing (Basel, Switzerland) (01-01-2019)
    “…Urban and Peri-urban Agriculture (UPA) has recently come into sharp focus as a valuable source of food for urban populations. High population density and…”
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    Journal Article
  2. 2

    Distribution of Sediments Associated with Dredging Activities on South China Sea Detected by Viirs on Suomi-NPP by Asanuma, Ichio, Park, Jong-Geol, Yamaguchi, Takashi, Hasegawa, Daisuke, Mackin, Kenneth

    “…A temporal change of sediment distribution during the dredging activities on coral reefs in the South China Sea (SCS) was detected in 2015 as a proxy of…”
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    Conference Proceeding
  3. 3

    Ensemble of artificial neural network based land cover classifiers using satellite data by Mackin, K.J., Yamaguchi, T., Nunohiro, E., Jong Geol Park, Hara, K., Matsushita, K., Ohshiro, M., Yamasaki, K.

    “…Terra and Aqua, 2 satellites launched by the NASA-centered international Earth Observing System project, house MODIS (Moderate Resolution Imaging…”
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    Conference Proceeding
  4. 4

    Development and evaluation of satellite image data analysis infrastructure by Nakamura, Akihiro, Park, Jong Geol, Matsushita, Kotaro, Mackin, Kenneth J., Nunohiro, Eiji

    Published in Artificial life and robotics (01-02-2012)
    “…Tokyo University of Information Sciences (TUIS) receives moderate resolution imaging spectroradiometer (MODIS) data, and provides the processed data to…”
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    Journal Article
  5. 5

    Application of neural network swarm optimization for paddy-field classification from remote sensing data by Mori, Kazuma, Yamaguchi, Takashi, Park, Jong Geol, Mackin, Kenneth J.

    Published in Artificial life and robotics (01-02-2012)
    “…Monitoring changes in paddy areas is important for economic and environmental research, since rice is a staple food in Asia and paddy agriculture is a major…”
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    Journal Article
  6. 6

    Forest and Field Fire Search System Using MODIS Data by Nunohiro, Eiji, Katayama, Kei, Mackin, Kenneth J., Park, Jong Geol

    “…Tokyo University of Information Sciences receives MODIS (Moderate Resolution Imaging Spectroradiometer) data from NASA’s Terra and Aqua satellites, and…”
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    Journal Article
  7. 7

    Clarification of Methane Emission Sources Using WDCGG Data: Case Study of Anmyeon-do Observatory, Korea by Park, Soo-Young, Park, JongGeol, Kim, Chung-Sil, Shin, ImChul

    “…Methane concentrations have been monitored at the Anmyeon-do Observatory, Korea, since 1999. In recent years, the methane concentration has increased, but the…”
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    Journal Article
  8. 8

    Artificial neural networks paddy-field classifier using spatiotemporal remote sensing data by Yamaguchi, Takashi, Kishida, Kazuya, Nunohiro, Eiji, Park, Jong Geol, Mackin, Kenneth J., Hara, Keitaro, Matsushita, Kotaro, Harada, Ippei

    Published in Artificial life and robotics (01-09-2010)
    “…Monitoring changes in a paddy-field area is important since rice is a staple food and paddy agriculture is a major cropping system in Asia. For monitoring…”
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    Journal Article
  9. 9

    Applying soft computing for remote sensing data composite algorithms by Mackin, Kenneth J., Yamaguchi, Takashi, Park, Jong Geol, Nunohiro, Eiji, Matsushita, Kotaro, Yanagisawa, Yukio, Igarashi, Masao

    Published in Artificial life and robotics (01-12-2010)
    “…Remote sensing of the earth’s surface using satellite-mounted sensor data is one of the most important methods for global environmental monitoring today…”
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    Journal Article
  10. 10

    Artificial neural network ensemble-based land-cover classifiers using MODIS data by Yamaguchi, Takashi, Mackin, Kenneth J., Nunohiro, Eiji, Park, Jong Geol, Hara, Keitaro, Matsushita, Kotaro, Ohshiro, Masanori, Yamasaki, Kazuko

    Published in Artificial life and robotics (01-03-2009)
    “…Terra and Aqua, two satellites launched by the NASA-centered International Earth Observing System project, house MODIS (moderate resolution imaging…”
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    Journal Article
  11. 11

    Proposal of mep (methane emission presumptuion) method to investigate methane sources by JongGeol Park, SooYoung Park

    “…The SCIAMACHY instrument on the European Space Agency satellite ENVISAT measured greenhouse gases in the troposphere and stratosphere. In this study, the CH 4…”
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    Conference Proceeding
  12. 12

    The potential of high resolution remotely sensed data for urban infrastructure monitoring by Jong-Hyn Park, Tateishi, R., Wikantika, K., Jong-Geol Park

    “…The object of this research investigated the urban infrastructure monitoring using high resolution remotely sensed data. Multi-source imagery with high spatial…”
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    Conference Proceeding