Curriculum Vitae
Biography
Dedicated and hardworking Geographer, with a solid background in GIS, remote sensing, Unmanned Aerial Systems, and hydrologist with a focus on hydrological processes at the catchment, watershed, and basin scales. My research focuses on the application of theories, water quality modeling, data assimilation, multispectral and hyperspectral remote sensing, and GIS techniques to geomorphology, hydrology water resources. I have more than 15 years of experience working with ArcGIS software and developing GIS databases, data creation map production and creating vector property maps.
My recent research focuses particularly on flood monitoring, surface water quality modeling, remote sensing and GIS, web and mobile mapping, and visualization and numerical modeling. We also focus on integrated geospatial science for multi-scale mapping, monitoring, and modeling of spatial environmental heterogeneity, in the quantification of change in landscape pattern, investigating the linkages between pattern and processes, and understanding the pattern-process dynamic within different environmental management regimes.
Skills
Skilled in the use of, ESRI ArcGIS Desktop, ArcGIS Pro, ArcGIS server manager, ArcGIS Geoevent server, Geoanalytic server, ENVI, Erdas Imagine, drone deploy and pix4D for drone data analysis, big data analytics with python using Databricks. Great working knowledge of computers and electronics allows for better project results and quick troubleshooting. Critical thinking and complex problem-solving skills aid in finding workable solutions to problems without expending unnecessary time and money.
GEOG 121: Global Physical environment (Online and face to face)
GEOG 271: The power of maps
GEOG 274: Introduction to Geospatial Technologies
GEOG 374/575: Environmental Remote Sensing
GEOG 474: Introduction to Geographic information systems
GEOG 476: Web GIS
GEOG 378: Global positioning system (GPS)
GEOG 575: Digital Image Processing
My research focuses on the application of theories, water quality modeling, data assimilation, multispectral and hyperspectral remote sensing, and GIS techniques to geomorphology, hydrology water resources. I have more than 15 years of experience working with ArcGIS software and developing GIS databases, data creation map production and creating vector property maps.
My recent research focuses particularly on flood monitoring, surface water quality modeling, remote sensing and GIS, web and mobile mapping, and visualization and numerical modeling. We also focus on integrated geospatial science for multi-scale mapping, monitoring, and modeling of spatial environmental heterogeneity, in the quantification of change in landscape pattern, investigating the linkages between pattern and processes, and understanding the pattern-process dynamic within different environmental management regimes
Mbongowo J Mbuh, Ryan Wheeler & Amanda Cook (2019) Spatiotemporal Analysis of Urban Heat Island intensification in the city of Minneapolis -St. Paul and Chicago Metropolitan areas using Landsat data from 1984-2016, Geocarto International, https://doi.10.1080/10106049.2019.1655802
Mbongowo Mbuh, Neil Vruno (2018). A habitat suitability analysis for recolonization/reintroduction of Mountain Lions (Puma concolor) in Minnesota. European journal of Ecology. 4(2), 28-40. doi: https://doi.org/10.2478/eje-2018- 0013
Mbongowo Mbuh, Richard Mbih, Comfort Wendi (2018). Water quality modeling and sensitivity analysis using Water Quality Analysis Simulation Program (WASP) in the Shenandoah River Watershed Physical Geography. https://doi.org/10.1080/02723646.2018.1507339
Mbongowo Mbuh (2018). Application of data fusion for uncertainty and sensitivity analysis of water quality estimation in the Shenandoah River Basin, Virginia, USA. International Journal of Applied Geospatial Research 9(3), 31-54, 2018 https://www.igi-global.com/gateway/article/204552
Mbongowo Mbuh (2017). Optimization of Airborne Real-time Cueing Hyperspectral Enhanced Reconnaissance(ARCHER) imagery, in-situ data with chemometrics to evaluate nutrients in the Shenandoah River, Virginia. Geocarto International.http://www.tandfonline.com/doi/full/10.1080/10106049.2017.1343395.
Mbih, Richard A., Steven L. Driever, Stephen K. Ndzeidze, Mbongowo J. Mbuh, Carine S.Bongadzem, Harry M. Wirngo (2017): Fulani pastoralists’ transformation process: a sustainable development approach in the Western Highlands of Cameroon. Environment, Development, and Sustainability https://link.springer.com/content/pdf/10.1007%2Fs10668-017-9910-3.pdf
Mbongowo Mbuh, Paul Houser, Ako Heildari (2016): Water quality estimation using combined water chemistry and field spectroscopy in the Shenandoah River, Virginia. International Journal of Applied Geospatial Research 7(2) https://www.igi- global.com/article/water-quality-estimation-using-combined-water-chemistry-and-field- spectroscopy-in-the-shenandoah-river-virginia/146546
Paul A. Dirmeyer, Zaiyu Wang, Mbongowo J. Mbuh, and Holly E. Norton (2014): Intensified land surface control on boundary layer growth in a changing climate. Geophysical Research Letters DOI: 10.1002/2013GL058826Lee, J.A., Baddock, M.C., Mbuh, M.J.and Gill, T.E., (2012): Geomorphic and Land Cover Characteristics of Aeolian Dust Sources in West Texas and Eastern New Mexico, USA.Aeolian Research, v. 3.p. 459-466. doi: 10.1016/j.aeolia.2011.08.001. http://rupisciencedirect.cjb.net/science/article/pii/S1875963711000656
RESEARCH PRESENTATIONS
Mbongowo Mbuh & Monica Slinkey (2018): Application of real-time GIS for community health resource inventory in the era of big data for a resilient and smart substance abuse management system. Poster presented at the 2018 UND-Midwest Big Data Hub "Smart, Local, Resilient" Meeting at the University of North Dakota, Grand Forks
Mbongowo Mbuh, Neil Vruno: (2017) A habitat suitability analysis for recolonization/reintroduction ofMountain Lions (Puma concolor) in Minnesota. Paper presented at the 2017 Great Plains and Rocky Mountains Association of American Geographers meeting in Grand Forks, North Dakota
Mbongowo J Mbuh, Ryan Wheeler, Amanda Cook.(2017) Spatiotemporal variability of Urban Heat island intensification using Landsat data from 1984-2016. : Poster presented at the 2017 Minnesota GIS/LIS Consortium in Bemiji, MN
Mbongowo Mbuh (2015): Optimization of spectroscopy and Hyperion data to evaluate water quality in the Shenandoah River basin: Paper presented at the 2015 Association of American Geographers meeting in Chicago, Illinois
Mbongowo Mbuh, Paul Houser and Ronald Resmini (2014): Optimization of spectroscopy and Hyperion data to evaluate water quality in the Shenandoah River basin: Poster presented at the 2014 Association of American Geophysical Union meeting in San Francisco
Mbongowo J Mbuh, Ako Heildari and Paul Houser (2014): Water quality estimation using combined water chemistry, field Spectroscopy and Hyperspectral remote sensing in the Shenandoah River Basin. Paper presented at the 2014 Association of American Geographers meeting in Tampa, Florida
Mbongowo J Mbuh, Paul Houser, Robert Pavlowsky and Jeffery Lee (2013): Geomorphology and human drivers of dust source prediction on the southern high plains of Texas and eastern New Mexico with MODIS imagery and logistic regression models. Paper presented at the 2013 Association of American Geographers meeting in Los Angeles, California
Mbongowo Mbuh, Robert Pavlowsky, Matthew Baddock, Jeffrey Lee, Thomas Gill (2011) Soil influence and geomorphology of dust sources on the Southern High Plains using MODIS imagery from 2001 to 2009. Paper presented at the 2011 Association of American Geographers meeting in Seattle- Washington
Mbongowo Mbuh, Matthew Baddock, Jeffrey Lee, Thomas Gill (2010). The spatial and temporal variability of dust sources on the Southern High Plains and eastern New Mexico from MODIS imagery. Paper presented at the Great Plains-Rocky Mountains Division of AAG in 2010 at Lawrence-Kansas
Jeff Lee; Matthew C Braddock; Mbongowo J Mbuh; Thomas E Gill, (2010) Geomorphic Land Cover Characteristics of Aeolian Dust sources in West Texas and eastern New Mexico, USA. Paper presented at the International Conference on Aeolian Research (ICAR VII), Santa Rosa, Argentina, 5-9 July 2010.
T.E. Gill; Mbongowo J. Mbuh; M. Dominguez Acosta; J.A. Lee; M.C. Baddock; C.E. Lee; S.C. Whitehead; N.I. Rivera Rivera; P. Peinado(2009): Geomorphology of MODIS-Visible Dust Plumes in the Chihuahuan Desert – Preliminary Results. Paper presented at the 2009 Geology Society of America meeting.
Mbongowo Mbuh; Mathew Baddock; Jeffrey Lee; Thomas Gill; and Sam Whitehead (2009): Spatial and temporal variability of atmospheric dust sources on the Southern High Plains from 2001 to 2009 using MODIS Satellite imagery. Poster presented at the 2010 Association of American Geographers meeting in Washington DC
EDUCATION/TRAINING
George Mason University Fairfax, VA
Ph.D. in Earth System and Geoinformation Science 2015
Advisor: Professor Paul Houser
Dissertation: Integrating Hyperspectral remote sensing, models and in-situ observations with data merging to estimate nutrient loadings in the Shenandoah River Basin.
Missouri State University Springfield, MO
MS Geospatial Science 2011
Advisor: Professor Robert Pavlowsky
Thesis: spatiotemporal characteristics of dust sources on the Southern High Plains and Eastern New Mexico with MODIS imagery from 2001 to 2009.
University of Yaounde I Yaounde, Cameroon
MPhilin Geomorphology, Hydrology, and Water Resources 2004
Advisor: Professor Paul Tchawa
Thesis: Natural and human processes on the Mount Cameroon coastal landscape
University of Yaounde I Yaounde, Cameroon
MA in Geomorphology, Hydrology, and Water Resources 2001
Advisor: Professor Paul Tchawa
Thesis: The dynamics of the Mount Cameroon coastal landscape
University of Yaounde I Yaounde, Cameroon
BA in Physical Geography 1998
Skilled in the use of, ESRI ArcGIS Desktop, ArcGIS Pro, ArcGIS server manager, ArcGIS Geoevent server, Geoanalytic server, ENVI, Erdas Imagine, drone deploy and pix4D for drone data analysis, big data analytic with python using Databricks. Great working knowledge of computers and electronics allows for better project results and quick troubleshooting. Critical thinking and complex problem-solving skills aid in finding workable solutions to problems without expending unnecessary time and money.