HD-07: Mathematical Morphology in Geosciences and GISCI

B. S. Daya Sagar

Sunday, July 26
08:30 - 12:30


Processing of remotely sensed data in both spatial and frequency domains has received wide attention. The application of remote sensing in various fields is greatly realized in the last three decades. One of the data derivable from remotely sensed data is a Digital Elevation Model (DEM) that provides rich clues about physiographic constitution of Earth planet, and Earth-like planetary surfaces. Remotely sensed data are available for various phenomena related to terrestrial, lunar, planetary surfaces, and atmospheric phenomena such as clouds in spatiotemporal mode. To address the intertwined topics—like pattern retrieval, pattern analysis, spatial reasoning, and simulation and modeling for understanding spatiotemporal behaviors of several of terrestrial phenomena and processes that could be acquired through remote sensing mechanisms—various original algorithms and modeling techniques that are mainly based on mathematical morphology (Matheron 1975, Serra 1982) have been developed and demonstrated their utility.
This tutorial presents applications of mathematical morphology and scaling theories in addressing those mentioned intertwined topics.


B. S. Daya Sagar obtained B.Sc (Earth Sciences), M.Sc (Geoengineering), and PhD degrees from Andhra University, India respectively in the years 1987, 1990, and 1994. His PhD thesis is on Applications of remote sensing, mathematical morphology, and fractals to study certain surface water bodies. Currently he is a Professor and founding head of Systems Science and Informatics Unit, Indian Statistical Institute. Sagar's significant contributions to the field mathematical geomorphology, with special emphasis on applications of mathematical morphology, fractal geometry, and nonlinear dynamics modelling of geomorphological phenomena and processes have yielded (i) insights for characterization and for better understanding of spatiotemporal behaviour of geomorphological phenomena and processes, and (ii) stimulated interdisciplinary activity. Sagar has demonstrated the connections between (i) pattern retrieval, (ii) pattern analysis, (iii) simulation and modelling, and (iv) spatial reasoning, and their importance in understanding spatiotemporal behaviours of geomorphological phenomena and processes. His two-decade long successful research contributions were summarised in his monograph 'Mathematical Morphology in Geomorphology and GISci' (Pages: 546, CRC Press: Boca Raton, 2013). Sagar has published over 80 papers, out of which 60 papers appeared in reputed journals, and has authored and/or edited nine books and/or special issues of Journals. Sagar has been elected a Fellow of Royal Geographical Society in 2000, a Senior Member of IEEE Geoscience and Remote Sensing Society in 2003, a Fellow of the Indian Geophysical Union in 2011. He is also a member of American Geophysical Union since 2003, International Association for Mathematical Geosciences since 2006. He received 'Dr. Balakrishna Memorial award' in 1995 from Andhra Pradesh Academy of Sciences, 'Krishnan Gold Medal' in 2002 from the Indian Geophysical Union, and 'Georges Matheron Award with Lectureship' in 2011 from International Association for Mathematical Geosciences. He is Editor for Computers & Geosciences (Elsevier), and Discrete Dynamics in Nature & Society (Hindawi Publishers).
Further details on Sagar's academic and research activities and accomplishments can be seen at http://www.isibang.ac.in/~bsdsagar/ and http://en.wikipedia.org/wiki/B._S._Daya_Sagar