Dr. Mohammad Al-Hamdan

Dr. Mohammad Al-Hamdan

Dr. Mohammad Al-Hamdan is a Senior Research Scientist with the Universities Space Research Association at NASA Marshall Space Flight Center. His research expertise includes Remote Sensing and Geographic Information Systems (GIS) applications to environmental modeling and assessment for water, air quality, urban heat island, ecological and public health applications; impacts of land cover land use and climate changes on water quantity and quality, air quality, public health, urban and aquatic ecosystems sustainability; developing decision support tools for different water, air quality, public health and ecological applications to improve decision-making and environmental sustainability; water flow resistance characterization using spatial analysis of remotely sensed data and GIS; Use of remote sensing for soil moisture estimation and water resources planning and management. Dr. Al-Hamdan has led the development of spatial algorithms and the spatial linkage and integration of remotely-sensed environmental datasets into several national decision support systems, models and online data systems, such as the CDC WONDER and EPHT environmental health systems, USGS SPARROW water quality system and NOAA Gulf of Mexico Data Atlas. Over the last eighteen years, Dr. Al-Hamdan has led and/or worked on several research projects funded by NASA, NIH, CDC, EPA, NSF, NOAA, DOD, USGS and/or USDOT with total grants of over $21 million, which resulted in numerous peer-reviewed journal, conference and technical report publications, and several national and international scientific achievement awards. Dr. Al-Hamdan holds Ph.D. and M.S. Degrees in Civil and Environmental Engineering from the University of Alabama in Huntsville.

Selected Publications

  • Al-Hamdan, M. Z.; Crosson, W. L.; Burrows, E., Coffield, S., Crane, B., Barik, M. G. (2019). Development and Validation of Improved PM2.5 Models for Public Health Applications Using Remotely Sensed Aerosol and Meteorological Data. Environmental Monitoring and Assessment. 191(2).
  • Bi, J.; Stowell, J.; Seto, E.; English, P.; Al-Hamdan, M. Z.; Kinney, P.; Freedman, F.; Liu, Y. (2019). Contribution of Low-Cost Sensor Measurements to the Prediction of PM2.5 Levels: A Case Study in Imperial County, California, USA. Environmental Research. 180(2020).
  • Jin, X.; Fiore A. M.; Civerolo, K.; Bi, J.; liu, Y.; van Donkelaar, A.; Martin, R. V.;      Al-Hamdan, M. Z.; Zhang,Y.; Insaf, T. Z.; Kioumourtzoglou, M. A.; He, M. Z.; Kinney P.L. (2019). Comparison of multiple PM2.5 exposure products for estimating health benefits of emission controls over New York State, USA. Environmental Research Letters. 14(2019).
  • Adeyeye, T.; Insaf, T.; Nayak, S.; Stuart, N.; DiReinzo, S.; Al-Hamdan, M. Z.; Crosson, W. (2019). Estimating policy-relevant health effects of ambient heat exposures using spatially contiguous remote sensing reanalysis data. (2019). Environmental Health. 18(35).
  • Eliezer, H.; Johnson, S.; Al-Hamdan, M. Z.; Crosson, W.; Insaf, T. (2019). Ground-truth of a 1 km downscaled NLDAS air temperature product using the New York City Community Air Survey. Applied Remote Sensing. 13(2).
  • Diao, M.; Holloway, T.; Choi, S.; O’Neill, S.M.; Al-Hamdan, M.Z.; van Donkelaar, A.; Martin, R.V.; Jin, X.; Fiore, A.M.; Henze, D.K.; Lacey, F.; Kinney, P.L.; Freedman, F.; Larkin, N.K.; Zou, Y.; Kelly, J.T.; Vaidyanathan, A. (2019). Methods, availability, and applications of PM2.5 exposure estimates derived from ground measurements, satellite, and atmospheric models, Journal of the Air & Waste Management Association. 69(12).
  • Wortzel, J.R., Norden, J.G., Turner, B.E., Haynor, D.R., Kent, S.T., Al-Hamdan, M.Z., Avery, D.H., Norden, M.J. (2019). Ambient temperature and solar insolation are associated with decreased prevalence of SSRI-treated psychiatric disorders. Journal of Psychiatric Research. 110, 57-63
  • Sarmiento, E.J., Moore, J.X., McClure, L.A., Griffin, R., Al-Hamdan, M.Z., Wang, H. E. (2018). Fine Particulate Matter Pollution and Risk of Community-Acquired Sepsis. International Journal of Environmental Research and Public Health. 15(4).
  • Loop, M.; McClure, L.; Levitan, E.; Al-Hamdan, M. Z.; Crosson, W. L.  Safford, M. M. (2018). Fine particulate matter and incident coronary heart disease in the REGARDS cohort. American Heart Journal. 197:94-102.
  • Al-Hamdan, A. Z., Preetha, P. P., Al-Hamdan, M. Z., Crosson, W. L., Albashaireh, R. N. (2018). Reconnoitering the linkage between cardiovascular disease mortality and long-term exposures to outdoor environmental factors in the USA using remotely-sensed data. Journal of Environmental Science and Health: Part A. 53(9), 809-818.
  • Al-Hamdan, A. Z., Preetha, P. P., Albashaireh, R. N., Al-Hamdan, M. Z., Crosson, W. L. (2018). Investigating the effects of environmental factors on autism spectrum disorder in the USA using remotely sensed data. Environmental Science and Pollution Research. 25(8), 7924-7936.
  • Al-Hamdan, A. Z., Albashaireh, R. N., Al-Hamdan, M. Z., Crosson, W.L. (2017). The association of remotely- sensed outdoor fine particulate matter with cancer incidence of respiratory system in USA. Journal of Environmental Science and Health: Part A. 52(6), 547-554.
  • McClure, L.A., Loop, M.S., Crosson, W. L., Dawn Kleindorfer, MD, Brett Kissela, MD, Al-Hamdan M. Z. (2017). Fine Particulate Matter (PM2.5) and the Risk of Stroke in the REGARDS Cohort. Journal of Stroke and Cerebrovascular Diseases. 26(8), 1739–1744.
  • Al-Hamdan, M. Z.; Oduor, P.; Flores, A. I.; Kotikot, S. M.; Mugo, R.; Ababu, J. (2017). Evaluating land cover changes in Eastern and Southern Africa from 2000 to 2010 using validated Landsat and MODIS data. International Journal of Applied Earth Observation and Geoinformation. 62 (2017): 8–26.
  • Loop, M.S., Howard, G., de los Campos, G., Al-Hamdan M. Z., Safford, M. M., Levitan, E.B., McClure, L.A. (2017). Heat Maps of Hypertension, Diabetes Mellitus, and Smoking in the Continental US. Circulation: Cardiovascular Quality and Outcomes. 10(1).
  • Griffin, R.; Cruise, J.; Ellenburg, W.; Al-Hamdan, M. Z.; Handyside, C. (2017). Book Chapter “Geographic Information Systems,” in Handbook of Applied Hydrology, Edited by Vijay P. Singh, pp. 9-1_9-8, McGraw-Hill, USA.
  • Al-Hamdan, M.Z.; Quattrochi, D.A.; Bounoua, L.; Lachir, A.; Zhang, P. (2016). Using Landsat, MODIS, and a Biophysical Model to Evaluate LST in Urban Centers. Remote Sensing. 8(11).
  • Jiao, Y.; Bower, J.; Im, W.; Basta, N.; Obrycki, J.; Al-Hamdan, M. Z.; Wilder, A.; Bollinger, C.; Zhang, T.; Hatten,L.; Hatten, J.; Hood, D. (2016). Application of Citizen Science Risk Communication Tools in a Vulnerable Urban Community. International Journal of Environmental Research and Public Health. 13(1).
  • Moreno, M. J.; Rickman, D. L.; Irwin, D.; Ye, J.; Al-Hamdan, M. Z. (2015). Using Remote Sensing to Monitor the Influence of River Discharge on Watershed Outlets and Adjacent Coral Reefs: Magdalena River and Rosario Islands, Colombia. International Journal of Applied Earth Observation and Geoinformation. 38(2015).
  • Estes, M. G.; Al-Hamdan, M. Z.; Ellis, J. T.; Judd, C.; Woodruff, D.; Thom, R. M.;  Quattrochi, D.; Watson, B.; Rodriguez, H.; Johnson, H.; Herder, T. (2015). A Modeling System to Assess Land Cover Land Use Change Effects on SAV habitat in the Mobile Bay Estuary. Journal of the American Water Resources Association. 51(2), 513–536.
  • Al-Hamdan, M. Z.; Crosson, W. L.; Economou, S. A.; Estes, M. G.; Estes, S. M.; Hemmings, S. N.; Kent, S. T.; Puckett, M.; Quattrochi, D. A.; Rickman, D. L.; Wade, G. M.; McClure, L. A.  (2014). Environmental Public Health Applications Using Remotely Sensed Data. Geocarto International, 29(1), 85-98.
  • Juarez, P.; Matthews-Juarez, P.; Hood, D.; Im, W.; Levine, R.; Kilbourne, B.; Langston, M.; Al-Hamdan, M. Z.; Crosson, W.L.; Estes, M.; Estes, S.; Agboto, V.; Robinson, P.; Wilson, S.; Lichtveld, M. (2014). The Public Health Exposome: A Population-Based, Exposure Science Approach to Health Disparities Research. International Journal of Environmental Research and Public Health. 11(12).
  • Kent, S. T.; Kabagambe, E.K; Wadley, V.G.;  Howard, V.J.;  Crosson, W.L.; Al-Hamdan, M. Z.;  Judd, S.E.;  Peace, F.;  and McClure, L.A.  (2014). The relationship between long-term sunlight radiation and cognitive decline in the REGARDS cohort study.  Int. J. Biometeorology. 58(3).
  • Hu, X.; Waller, L.A.; Lyapustin, A.; Wang, Y.;  Al-Hamdan, M.Z.;  Crosson, W.L., Estes, M.G.;  Estes, S.M.;  Quattrochi, D.A.;  Puttaswamy, S.J.;  Liu, Y. (2014).  Estimating ground-level PM2.5 concentrations in the Southeastern United States Using MAIAC AOD retrievals and a two-stage model.  Remote Sensing of Environment. 140, 220-232.
  • Kent, S. T.; Cushman, M.; Howard, V.J.; Judd, S.E.; Crosson, W.L.; Al-Hamdan, M. Z.; and McClure, L.A.  (2014). Sunlight exposure and cardiovascular risk factors in the REGARDS study: a cross-sectional split-sample analysis. Neurology. 14(133).
  • Kent, S.T; McClure, L.A.;  Judd, S.E.;  Howard, V.J.;  Crosson, W.L.;  Al-Hamdan, M. Z.;  Wadley, V.G.;  Peace, F.; and Kabagambe, E.K.  (2013). Short and Long-term sunlight radiation and stroke incidence.  Annals of Neurology, 73(1), 32-37.
  • Loop, M. S.; Kent, S. T.; Al-Hamdan, M. Z.; Crosson, W. L.; Estes, S. M.; Estes, M. G.; Quattrochi, D. A.;  Hemmings, S. N.; Wadley, V. G.; McClure, L. A. (2013). Fine particulate matter and incident cognitive impairment in the REasons for Geographic And Racial Differences in Stroke (REGARDS) cohort. PLoS ONE. 8(9).
  • Al-Hamdan, M. Z.; Cruise, J. F.; Rickman, D. L.; and Quattrochi, D. A. (2012). Characterization of Forested Landscapes from Remotely Sensed Data Using Fractals and Spatial Autocorrelation. Advances in Civil Engineering, 2012.
  • Moreno, M. J.; Al-Hamdan, M. Z.; Rickman, D. L.; Ye, J. (2012). Relationship between Watershed Land-Cover/Land-Use Change and Water Turbidity Status of Tampa Bay Major Tributaries, Florida, USA. Water, Air, and Soil Pollution. 223.
  • Hu, X.; Waller, L. A.; Al-Hamdan, M. Z.; Crosson, W.L.; Estes, M.; Estes, S.; Quattrochi, D.; and Liu, Y. (2012).  Estimating ground-level PM2.5 concentrations in the southeastern U.S. using Geographically Weighted Regression.  Environmental Research. 121, 1-10.
  • Crosson, W. L.; Al-Hamdan, M. Z.; Hemmings, S.N.; and Wade, G.M. (2012).  A daily merged MODIS Aqua-Terra land surface temperature data set for the conterminous United States.  Remote Sensing of Environment. 119:315-324. 
  • Al-Hamdan, M. Z.; Cruise, J. F.; Rickman, D. L.; Quattrochi, D. A. (2010). Effects of Spatial and Spectral Resolutions on Fractal Dimensions in Forested Landscapes. Remote Sensing. 2(3), 611-640.
  • Moreno M.J.; Al-Hamdan M. Z.; Rickman D.L.; Muller-Karger F.E. (2010). Using the Surface Reflectance MODIS Terra Product to Estimate Turbidity in Tampa Bay, Florida. Remote Sensing. 2(12), 2713-2728.
  • Estes, M. G.; Crosson, W. L.; Al-Hamdan, M. Z.; Quattrochi, D. A.; Johnson, H. (2010). Validation and Demonstration of the Prescott Spatial Growth Model in Metropolitan Atlanta, Georgia. Urban and Regional Information Systems Journal. 22(1), 5-21.
  • Al-Hamdan, M. Z.; Crosson, W. L.; Limaye, A. S.; Rickman, D. L.; Quattrochi, D. A.; Estes, M. G.; Qualters, J. R.; Sinclair, A. H.; Tolsma, D. D; Adeniyi, K. A.; and Niskar, A. (2009). Methods for Characterizing Fine Particulate Matter Using Ground Observations and Satellite Remote-Sensing Data: Potential Use for Environmental Public Health Surveillance. Journal of the Air & Waste Management Association. 59(7), 865–881.
  • Estes, M. G.; Al-Hamdan, M. Z.; Crosson, W.; Estes, S.; Quattrochi, D.; Kent, S.; McClure, L. (2009). Use of Remotely-Sensed Data to Evaluate the Relationship between Living Environment and Blood Pressure. Environmental Health Perspectives. 117, 1832-1838.
  • Li, H.; Faruque, F.; Williams, W.; Al-Hamdan, M. Z.; Luvall, J. C.; Crosson, W. L.; Rickman, D. L.; and Limaye, A. S. (2009). Optimal Temporal Scale for the Correlation of AOD and Ground Measurements of PM2.5 in a real-time air quality estimation system. Atmospheric Environment. 43, 4303-4310.