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      Mapping Daily Air Temperature for Antarctica Based on MODIS LST

      , , , , , ,
      Remote Sensing
      MDPI AG

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          Bedmap2: improved ice bed, surface and thickness datasets for Antarctica

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            System for Automated Geoscientific Analyses (SAGA) v. 2.1.4

            The System for Automated Geoscientific Analyses (SAGA) is an open source geographic information system (GIS), mainly licensed under the GNU General Public License. Since its first release in 2004, SAGA has rapidly developed from a specialized tool for digital terrain analysis to a comprehensive and globally established GIS platform for scientific analysis and modeling. SAGA is coded in C++ in an object oriented design and runs under several operating systems including Windows and Linux. Key functional features of the modular software architecture comprise an application programming interface for the development and implementation of new geoscientific methods, a user friendly graphical user interface with many visualization options, a command line interpreter, and interfaces to interpreted languages like R and Python. The current version 2.1.4 offers more than 600 tools, which are implemented in dynamically loadable libraries or shared objects and represent the broad scopes of SAGA in numerous fields of geoscientific endeavor and beyond. In this paper, we inform about the system's architecture, functionality, and its current state of development and implementation. Furthermore, we highlight the wide spectrum of scientific applications of SAGA in a review of published studies, with special emphasis on the core application areas digital terrain analysis, geomorphology, soil science, climatology and meteorology, as well as remote sensing.
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              Discriminating clear sky from clouds with MODIS

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                Author and article information

                Journal
                Remote Sensing
                Remote Sensing
                MDPI AG
                2072-4292
                December 2016
                September 05 2016
                : 8
                : 12
                : 732
                Article
                10.3390/rs8090732
                a856354a-7e75-4a76-8a7f-77174e687591
                © 2016

                https://creativecommons.org/licenses/by/4.0/

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