Open-Source Geoinformation Software Tools in Environmental Modelling

Dear Colleagues,

In recent decades, advancements in geoinformation technologies, such as of remote sensing/Earth observation (EO) and geographical information systems (GISs), have played an increasingly important role in mapping various parameters that characterise the Earth environment. These technologies, often combined with conventional field surveying and spatial data analysis methods and/or simulation process models, provide efficient tools for monitoring and understanding the Earth environment in a cost-effective and systematic manner. The dramatic progress in geoinformation-based technologies is also manifested as the large number of operational products and services that have been developed, and continue to be made available, globally. This vast evolvement in EO/GISs has also necessitated more efficient EO data processing, among other advantages. In this respect, we acknowledge the importance of open-source software and encourage the contribution of open-source tools, even those that are built using globally used commercial GIS solutions as their foundations.

This Special Issue invites contributions focusing on modern open-source software tools developed for displaying, processing, analysing, and validating GIS and EO data with the aim of acquiring more in-depth knowledge of the Earth’s natural environment, especially concerning their relationship with data acquisition systems, like handheld, airborne, or spaceborne sensors. We also welcome contributions focusing on modern cloud GIS platforms used for spatial data analysis and cartographic purposes for a wide range of environmental applications. Special interest is allocated to tools that make use of parallel processing on high-performance computers (HPCs) and graphic processing units (GPUs). In addition, sceintific contributions focuing on the validation of software tools/methods and the accuracy quantification procedures that are needed to ensure the proper use of the results produced by such software tools are welcomed.

Dr. George P. Petropoulos
Dr. Prashant Srivastava
Prof. Dr. Daniela Silva-Fuzzo
Guest Editors

Manuscript Submission Information

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• geoinformation
• earth observation
• remote sensing
• geospatial software tools
• open source
• cloud computing
• HPC
• parallel computing
• environmental applications