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TGP GROUP
      TGP Group is now consisted of one professor, one associate professor, four PhD research students and six MSc research students. The group is affiliated with State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences.
Advances In Research

Atmospheric Aerosol above Terrestrial Surface and Surface Reflectance Characteristics Parameters Remote Sensing Quantitative Retrieval

  TGP group leaded by Yong Xue has established a new type of atmospheric radiative transfer and retrieval analytical model, and innovatively build the atmospheric aerosol optical depth (AOD) remote sensing quantitative retrieval model over terrestrial non-Lambertian surfaces using the synergetic retrieval model from mutiple remote sensing data, which could obtain the reflectance of the surface and the AOD simultaneously, thus opening up a new way to solve the currect problem in the world of low AOD retrieval accuracy over high reflectance and non-Lambertian surface, and improving the AOD retrieval accuracy over land especially in urban areas. Combining the nuclear drive model with the SRAP-MODIS model, we build the remote sensing retrieval model from multiple data source, which could not only obtain AOD quantitative retrieval, but also get the surface reflectance information, taking the BRDF effect in to account, thereby offering new ideas and methods for atmospheric correction in remote sensing quantitative retrieval. The relevant representative results have been published in the journal "Remote Sensing of Environment"(IF: 4.574), "Atmospheric Research" (IF: 1.304), and "Biogeosciences" (IF: 3.587) in SCI.

  To take full advantage of multi-angle, multi-band and multi-resolution informations from different remote sensing data, the group also innovatively proposed a new type of multi-source remote sensing data synergistic approach, initially realized multi-source data fusion from MODIS, HJ-1A/1B, FY-2, etc. The relevant representative results have been published in the journal "Atmospheric Environment " (IF: 3.226).

  The group put forward the AOD and aerosol type retrieval model, thus obtaining high time phase aerosol properties, which has the original innovation in the area of AOD retrieval over land using MSG satellite data. The relevant representative results have been published in the journal "Atmospheric Chemistry and Physics " (IF: 5.520).

High Performance/ High Throughput Geoscience Computing and Remote Sensing Application Platform

    TGP group proposed the Data and Computation Schduling(DCS) algorithm based on the grid workflow framework. The design and implementation of high throughput remote sensing quantitative retrieval system on the basis of high throughput computing grid platform, grid middleware and existing remote sensing image processing softwares is a new attempt in high performance geoscience computing. The platform offers capacity for the large scale remote sensing information processing.

    The relevant results have been published in the SCI-indexed journal "IEEE COMPUTER" (IF: 1.289), "Future Generation Computer System" (IF: 1.476), "International Journal of Applied Earth Observation and Geoinformation" (IF: 1.557), "Computers & Geosciences" (IF: 1.416) and "International Journal of Digital Earth" (IF: 1.453).

Atmospheric Boundary Layer Energy Exchange and Thermal Inertia Quantitative Modeling

  TGP group established surface thermal inertia analytical model to solve the thermal inertia and soil moisture danamicly and systematicly studied the land-ocean-atmospheric boundary heat exchange retrieval and its impacts on the global environmental change. The article about the thermal inertia remote sensing quantitative retrieval mode published in the "International Journal of Remote Sensing" (1995) has been cited more than 75times (Google Scholar), and the results are at the international leading level. The series results have been published in "International Journal of Remote Sensing" (IF: 1.188).

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