Faculty

Institution

Unit

Venue

Ramanathan Sugumaran

Geography Professor

University of Northern Iowa

Affiliations

College of Social & Behavioral Sciences

Division of Geography

GeoTREE Center

University of Northern Iowa

Ramanathan Sugumaran is currently serving as a College Of Social & Behavioral Sciences Geography Professor at University of Northern Iowa.

Honors

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Experiences

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Education

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Ramanathan Sugumaran

University of Northern Iowa

Geography Professor

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geography geographical information science geographic information systems applied geography remote sensing data science spatial analysis earth science spatial databases environmental science environmental monitoring digital earth spatial science spatial information systems urban ecology virology infectious diseases (medical specialty) communicable diseases tropical medicine information technology virus epidemiology spatial data management forest ecology forest research information management medical entomology land degradation forest biometrics disease surveillance land cover map land cover insect science scientific computing soil dynamics health geography urban forestry forest health monitoring disease mapping hyperspectral imaging vector borne disease data reduction gpu computing earth observation data soil erosion soil degradation erosion prediction soil modeling west nile virus lidar data processing environmental planning eurasian geography environmental geography population exposure climate epidemiology disease ecology urban vegetation web architecture forest inventory virus transmission geospatial perspective geographical aspect arbovirus soil erosion risk gis framework human disease incidence tree species classification seasonal effect object- oriented approach spatio-temporal cluster analysis continental united states ecological niche modeling rule-based classification approach high-resolution imagery coterminous united states land use conditions spatial thinking course data integration statistical software big data cluster computing scientific data computer science data and information visualization data management data modeling data mining analytics databases

Notable Scholarly Works

Notable Federal Grants

Collaborators

Processing Remote Sensing Data in Cloud-Computing Environments. CRC Press eBooks (2024)

Ramanathan SugumaranJames W. HegemanVivek B. SardeshmukhMarc P. Armstrong

data accesscloud data managementdata managementremote sensinginformation technologycloud-computing environmentsdata sciencecomputer sciencecloud computing

Using a Cloud Computing Environment to Process Large 3D Spatial Datasets. Big Data (2024)

Ramanathan SugumaranJeffrey BurnettMarc P. Armstrong

data sciencecloud computing

Estimation of Building Rooftop Temperature From High Spatial Resolution Aerial Thermal Images. arXiv (Cornell University) (2020)

architecturebuilding technologydigital earththermal infrared remote sensinggeographyremote sensingdigital image processingbuilding rooftop temperaturebuilding engineering

Cloud Computing. International Encyclopedia of Geography (2017)

Evaluating Forest Harvesting to Reduce Its Hydrologic Impact With a Spatial Decision Support System. Index of Texas Archaeology Open Access Grey Literature from the Lone Star State (2016)

Yanli ZhangPaul K. BartenRamanathan SugumaranJohn DeGroote

applied geographyforestryhydrologic impactenvironmental science

Parallel Landscape Driven Data Reduction Spatial Interpolation Algorithm for Big Lidar Data. ISPRS International Journal of Geo-Information (2016)

Rahil SharmaZewei XuRamanathan SugumaranSuely Oliveira

parallel processingdata reductionspatial interpolation algorithmapplied geographygeographygeospatial mappingremote sensingbig lidar datadata scienceearth sciencegeographic information systemsmachine learninggeographic information retrievalparallel landscape

Distributed Lidar Data Processing in a High-Memory Cloud-Computing Environment. Annals of GIS (2014)

James W. HegemanVivek B. SardeshmukhRamanathan SugumaranMarc P. Armstrong

distributed data processingsystems engineeringlidar data processinghigh-memory cloud-computing environmentdistributed computinggeographycloud computing architecturedistributed data managementdistributed processingcloud computing

Landscape, Demographic and Climatic Associations With Human West Nile Virus Occurrence Regionally in 2012 in the United States of America. Geospatial health (2014)

virus researchvector borne diseasebiodiversitytropical medicineepidemiologybiogeographygeographyvirus epidemiologyvirologyhuman impacts on the environmentunited statesclimatic associationsinfectious diseasesarbovirusmedical entomologyinfectious diseases (medical specialty)

Development and Application of a Spreadsheet-Based Spatial Decision Support System (Sdss). IGI Global eBooks (2013)

spatial analysisgeographical information sciencesystems engineeringdata modelingspatial information systemsgeographic analyticsapplied geographyspatial scienceintelligent decision support systemdata sciencedata and information visualizationspatial databasesgeographic information systemsspatial data management

Application of Geospatial Technologies for Understanding and Predicting Vector Populations and Vector‐Borne Disease Incidence. Geography Compass (2012)

spatial analysisgeographical information sciencecommunicable diseasesdisease surveillancegeospatial datadisease mappingvector populationsepidemiologyapplied geographygeographypopulation healthvector‐borne disease incidencegeospatial technologieshealth geographyspatial databasesgeographic information systemsinfectious diseases (medical specialty)

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Ramanathan Sugumaran

Geography Professor

University of Northern Iowa

Affiliations

College of Social & Behavioral Sciences

Division of Geography

GeoTREE Center

University of Northern Iowa

Ramanathan Sugumaran is currently serving as a College Of Social & Behavioral Sciences Geography Professor at University of Northern Iowa.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ramanathan Sugumaran

University of Northern Iowa

Geography Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Processing Remote Sensing Data in Cloud-Computing Environments. CRC Press eBooks (2024)

Ramanathan SugumaranJames W. HegemanVivek B. SardeshmukhMarc P. Armstrong

data accesscloud data managementdata managementremote sensinginformation technologycloud-computing environmentsdata sciencecomputer sciencecloud computing

Using a Cloud Computing Environment to Process Large 3D Spatial Datasets. Big Data (2024)

Ramanathan SugumaranJeffrey BurnettMarc P. Armstrong

data sciencecloud computing

Estimation of Building Rooftop Temperature From High Spatial Resolution Aerial Thermal Images. arXiv (Cornell University) (2020)

architecturebuilding technologydigital earththermal infrared remote sensinggeographyremote sensingdigital image processingbuilding rooftop temperaturebuilding engineering

Cloud Computing. International Encyclopedia of Geography (2017)

Evaluating Forest Harvesting to Reduce Its Hydrologic Impact With a Spatial Decision Support System. Index of Texas Archaeology Open Access Grey Literature from the Lone Star State (2016)

Yanli ZhangPaul K. BartenRamanathan SugumaranJohn DeGroote

applied geographyforestryhydrologic impactenvironmental science

Parallel Landscape Driven Data Reduction Spatial Interpolation Algorithm for Big Lidar Data. ISPRS International Journal of Geo-Information (2016)

Rahil SharmaZewei XuRamanathan SugumaranSuely Oliveira

Distributed Lidar Data Processing in a High-Memory Cloud-Computing Environment. Annals of GIS (2014)

James W. HegemanVivek B. SardeshmukhRamanathan SugumaranMarc P. Armstrong

Landscape, Demographic and Climatic Associations With Human West Nile Virus Occurrence Regionally in 2012 in the United States of America. Geospatial health (2014)

Development and Application of a Spreadsheet-Based Spatial Decision Support System (Sdss). IGI Global eBooks (2013)

Application of Geospatial Technologies for Understanding and Predicting Vector Populations and Vector‐Borne Disease Incidence. Geography Compass (2012)

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