• DocumentCode
    3691136
  • Title

    The examination of land products from GCOM-C1/SGLI

  • Author

    Y. Honda;M. Moriyama;Y. Ono;K. Kajiwara;S Tanigawa

  • Author_Institution
    Center for Environmental Remote Sensing (CEReS), Chiba University / JST-SORST, 1-33, Yayoi-cho, Inage-ku, Chiba, JAPAN 263-8522
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    5099
  • Lastpage
    5102
  • Abstract
    The Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) concluded that many collective observations gave a aspect of a global warming and other changes in the climate system. It is very important to understand this process accurately, and to construct the model by whom an environmental change is accurately forecast. Future earth observation using satellite data should monitor global climate change, and should contribute to social benefits. Especially, human activities has given the big impacts to earth environment. This is a very complex affair, and nature itself also impacts the clouds, namely the seasonal variations. JAXA (former NASDA) has the plan of the Global Change Observation Mission (GCOM) formonitoring of global environmental change. SGLI (Second Generation GLI) onboard GCOM-C 1 (Climate) satellite, which is one of this mission, is an optical sensor from Near-UV to TIR. SGLI can provide the various high accuracy products of aerosol, cloud information, various biophysical parameters (Biomass, Land Cover, Albedo, NPP, Water Stressed Vegetation, LST, etc.), coastal information (CDOM, SS, PAR, CHL, SST, etc.), and cryospheric information (Albedo, Snow/Ice Cover, NDII, Sea ice type, Snow Grain Size, NDSI, Snow Surface Temperature, etc.). This paper shows the introduction of the unique aspects and characteristics of the next generation satellite sensor, SGLI/GCOM-C, and shows the preliminary research for this sensor.
  • Keywords
    "Vegetation mapping","Ocean temperature","Clouds","Snow","Indexes","Satellites"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7326980
  • Filename
    7326980