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TZID:America/Sao_Paulo
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DTSTART:20380119T001407
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BEGIN:VEVENT
DTSTAMP:20211106T224852Z
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DTSTART;TZID=America/Sao_Paulo:20211111T090000
DTEND;TZID=America/Sao_Paulo:20211111T103000
DESCRIPTION:Summary: DEM users are often unaware of the technicalities of t
 he model’s generation\, provenance\, and error characteristics. This inf
 ormation is often not available or unfamiliar. For example\, the SRTM DEM 
 measures the electrical height of the surface as seen by the radar\, not t
 he ground or canopy top measured by other techniques. In addition\, DEM an
 alysis tools are often used without a deep understanding of the methods em
 ployed. As a case in point\, the methods described in this talk were devel
 oped by specialists and require some dedication to understand and apply pr
 operly. For geoscientists\, it is a challenge of the utmost importance to 
 decipher the geometric\, topologic\, and morphologic relevance data concea
 led by DEMs\, and the geoscientist cannot expect the algorithm developer a
 pproaching the analysis from a mathematical perspective to provide a solut
 ion 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 specialis
 ts in their sophisticated endeavors.\n\nCo-sponsored by: GRSS'Brazil Chapt
 er\; MS GRSS IEEE Student Branch Chapter\; UFMG\; UDESC\; UFMS\; UFPR: UNI
 OESTE\; UNOCHAPECO\; UNESP\; INPE\; CAPES\; CNPq\n\nSpeaker(s): Dr. B. S. 
 Daya Sagar\, \n\nChapeco\, Santa Catarina\, Brazil\, Virtual: https://even
 ts.vtools.ieee.org/m/288974
LOCATION:Chapeco\, Santa Catarina\, Brazil\, Virtual: https://events.vtools
 .ieee.org/m/288974
ORGANIZER:veraldo@gmail.com
SEQUENCE:1
SUMMARY:Mathematical morphology in processing and analysis of the Digital E
 levation Models 
URL;VALUE=URI:https://events.vtools.ieee.org/m/288974
X-ALT-DESC:Description: <br /><p>Summary: DEM users are often unaware of th
 e technicalities of the model&rsquo\;s generation\, provenance\, and error
  characteristics. This information is often not available or unfamiliar. F
 or 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 techni
 ques. In addition\, DEM analysis tools are often used without a deep under
 standing of the methods employed. As a case in point\, the methods describ
 ed 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 morphol
 ogic relevance data concealed by DEMs\, and the geoscientist cannot expect
  the algorithm developer approaching the analysis from a mathematical pers
 pective to provide a solution for any DEM or geographical context. Therefo
 re\, it is imperative that geoscientists have some facility with the theor
 y\, algorithm development\, and computer code generation to collaborate wi
 th and guide the specialists in their sophisticated endeavors.</p>
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