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We are pleased to inform that dr hab. Waldemar Kociuba, Prof. UMCS (Department of Geology, Soil Science and Geoinformation UMCS) has become the editor of a special issue "Recent Advances GIS Techniques for Remote Sensing" planned for publication in Remote Sensing (Impact Factor: 4.848 (2020); 5-Year Impact Factor: 5.353 (2020)). According to the list of journals of the Ministry of Education and Sciences, the article in the above mentioned journal is 100 points.
(1) Geographic Information Systems (GIS) are becoming increasingly popular in earth and environmental sciences due to their capabilities for modern 2D and 3D mapping, presentation of phenomena complexity, flexibility of criteria selection and geodata management. Advanced remote sensing measurement techniques (multi- and hyperspectral imagery, LiDAR, photogrammetry) provide more and more accurate geospatial data, which can be used in studies on landscape evolution, contemporary geomorphic changes, land cover and land use changes or physical and chemical features of soils and surface waters. The repeatable data from satellites, airplanes, and unmanned aerial vehicles (UAVs) provided by various sensors allow for the detection of changes at different spatial scales and time steps. GIS uniquely provides the ability to compile and compare selected information (thematic layers) with environmental data, with user-directed definition of the boundaries of the study area. GIS and remote sensing play an important role in environmental monitoring and assessment. Flexibility in the selection criteria of information makes it possible to identify, separate, and determine the relationship of selected landforms or environmental elements to specific geographic conditions or climate change using GIS.
(2) Aim of the Special Issue and how the subject relates to the journal scope.
Within the framework of this research topic, we would like to invite you to submit original papers presenting innovative use of GIS techniques and a wide spectrum of geospatial data (i.e., remote sensing, global navigation satellite system (GNSS)) to solve complex research problems of earth and environmental sciences. Comprehensive reviews of this topic are also welcome. Potential topics include, but are not limited to, the following:
(3) Suggested themes and article types for submissions.
- Original GIS methods or tools for remote sensing data analysis and interpretation;
- Use of machine learning and novel GIS tools to process remote sensing data from a variety of sources;
- Use of global navigation satellite system (GNSS) to enhance remote sensing data and GIS analysis;
- GIS mapping using remote sensing and machine learning techniques;
- Using remote sensing and GNSS to optimize GIS mapping.
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