Mathematical morphology in processing and analysis of the Digital Elevation Models

#DEM #Geomorphology #Remote #Sensing #GIS #Geoprocessing #Geostatistics #Mathematical #Morphology
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7th Brazilian IEEE GRSS Young Professionals (YP) & ISPRS Student Consortium (SC) Summer School (SS) 


Summary: DEM users are often unaware of the technicalities of the model’s generation, provenance, and error characteristics. This information is often not available or unfamiliar. For example, the SRTM DEM measures the electrical height of the surface as seen by the radar, not the ground or canopy top measured by other techniques. In addition, DEM analysis tools are often used without a deep understanding of the methods employed. As a case in point, the methods described in this talk were developed by specialists and require some dedication to understand and apply properly. For geoscientists, it is a challenge of the utmost importance to decipher the geometric, topologic, and morphologic relevance data concealed by DEMs, and the geoscientist cannot expect the algorithm developer approaching the analysis from a mathematical perspective to provide a solution for any DEM or geographical context. Therefore, it is imperative that geoscientists have some facility with the theory, algorithm development, and computer code generation to collaborate with and guide the specialists in their sophisticated endeavors.



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  • Date: 11 Nov 2021
  • Time: 09:00 AM to 10:30 AM
  • All times are (UTC-03:00) Brasilia
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  • Chapeco, Santa Catarina
  • Brazil

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  • Co-sponsored by GRSS'Brazil Chapter; MS GRSS IEEE Student Branch Chapter; UFMG; UDESC; UFMS; UFPR: UNIOESTE; UNOCHAPECO; UNESP; INPE; CAPES; CNPq
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  Speakers

Dr. B. S. Daya Sagar Dr. B. S. Daya Sagar

Topic:

Mathematical morphology in processing and analysis of the Digital Elevation Models

Biography:

CV: B.S. Daya Sagar (bsdsagar@isibang.ac.in) is a full professor at the Systems Science and Informatics Unit, Indian Statistical Institute, Bangalore Centre, India. His research interests include mathematical morphology; geographic information sciences; digital image processing; and fractals and multifractals and their applications in extraction, analyses, and modeling of geophysical patterns. He is an IEEE Geoscience and Remote Sensing Society (GRSS) Distinguished Lecturer for 2020–2022. He is a Senior Member of IEEE and the GRSS.

Address:Karnataka, India





7th Brazilian IEEE GRSS Young Professionals (YP) & ISPRS Student Consortium (SC) Summer School (SS)