Dr. John K. Maingi
Education:
Ph.D., University of Arizona, 1998
Teaching Responsibilities
- Global Change - Map Interpretation - Humans & Natural Resources - Principles
of Environmental Sciences - Geographic Information Systems - Techniques & Applications
of Remote Sensing
Selected Publications
- Maingi, J.K. & M.C. Henry, 2007. "Factors influencing wildfire occurrence and distribution in eastern Kentucky, USA" in International Journal of Wildland Fire 16(1):23-33.
- Maingi, J.K., 2006. "Growth rings in tree species from the Tana River floodplain, Kenya" in Journal of East African Natural History 95(2):231-261.
- Maingi, J.K. & S.E. Marsh, 2006. "Composition, structure, and regeneration patterns in a gallery forest along the Tana River near Bura, Kenya" in Forest Ecology and Management, 236(1-2):211-228.
- Maingi, J.K., 2005. "Mapping fire scars in a mixed-oak forest in eastern Kentucky, USA, using Landsat ETM+ data" in Geocarto International 20(3):51-63 .
- Maingi, J.K., & W.M. Luhn, 2005. "Mapping insect-induced pine mortality in the Daniel Boone National Forest, Kentucky using Landsat TM and ETM+ data" in GIScience & Remote Sensing 42(3):224-250.
- Maingi, J.K. et al., 2004. "Assessing the Accuracy of Satellite-Derived Land-Cover Classification Using Historical Aerial Photography, Digital Orthophoto Quadrangles, and Airborne Video Data" in R. Lunetta & J.G. Lyon (eds.) Remote Sensing and GIS Accuracy Assessment CRC Press, Boca Raton, Florida, pp. 115-131.
- Maingi, J.K. & S.E. Marsh, 2002. "Quantifying Hydrologic Impacts Following Dam Construction Along the Tana River, Kenya." Journal of Arid Environments 50(1):53-79.
- Maingi, J.K., M.C. Henry, and W.M. Luhn, 2001. "Assessing Forest Damage by the Southern Pine Beetle in the Daniel Boone National Forest, Kentucky." Papers and Proceedings of the Applied Geography Conferences, 24:27-34.
- Maingi, J.K. & S.E. Marsh, 2001. "Assessment
of Environmental Impacts of River
Basin Development on the Riverine
Forests of Eastern Kenya Using
Multi-Temporal Satellite Data." International
Journal of Remote Sensing, 22(14):2701-2729.