Результаты поиска по 'remote sensing data processing':
Найдено статей: 2
  1. Olchev A.V.
    A modeling approach to estimate the gross and net primary production of forest ecosystems as a function of the fraction of absorbed photosynthetically active radiation
    Computer Research and Modeling, 2016, v. 8, no. 2, pp. 345-353

    A simple non-linear model allowing to calculate daily and monthly GPP and NPP of forests using parameters characterizing the light-use efficiencies for GPP and NPP, and integral values of absorbed photosynthetically active radiation, obtained using field measurements and remotes sensing data was suggested. Daily and monthly GPP, NPP of the forest ecosystems were derived from the field measurements of the net ecosystem exchange of CO2 in the spruce and tropical rain forests using a process-based Mixfor-SVAT model.

    Keywords: gross and net primary production, tropical rainforests, spruce forests, SVAT model, light use efficiency, remote sensing.
    Views (last year): 1. Citations: 2 (RSCI).
  2. Kazymov A.I., Kotov V.M., Mineev M.A., Russakovich N.A., Yakovlev A.V.
    Using CERN cloud technologies for the further ATLAS TDAQ software development and for its application for the remote sensing data processing in the space monitoring tasks
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 683-689

    The CERN cloud technologies (the CernVM project) give a new possibility for the software developers. The participation of the JINR ATLAS TDAQ working group in the software development for distributed data acquisition and processing system (TDAQ) of the ATLAS experiment (CERN) involves the work in the condition of the dynamically developing system and its infrastructure. The CERN cloud technologies, especially CernVM, provide the most effective access as to the TDAQ software as to the third-part software used in ATLAS. The access to the Scientific Linux environment is provided by CernVM virtual machines and the access software repository — by CernVM-FS. The problem of the functioning of the TDAQ middleware in the CernVM environment was studied in this work. The CernVM usage is illustrated on three examples: the development of the packages Event Dump and Webemon, and the adaptation of the data quality auto checking system of the ATLAS TDAQ (Data Quality Monitoring Framework) for the radar data assessment.

    Keywords: Cloud technologies, virtual machines, remote sensing data processing, ATLAS TDAQ, middleware.
    Views (last year): 2.

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