Publications
Lunetta, R.S., Iiames, J.S., Knight, J., Congalton, R.G., and Mace, T.H., 2001. An Assessment of Reference Data Variability Using a “Virtual Field Reference Database.” Photogrammetric Engineering and Remote Sensing, 66(6):707-715.
Lunetta, R.S., J. Ediriwickrema, Iiames, J.S., Johnson, D., Lyon, J.G., McKerrow, A., and Pilant, D., 2003. A quantitative assessment of a combined spectral and GIS rule-based land-cover classification in the Neuse River Basin of North Carolina, Photogrammetric Engineering and Remote Sensing, 69(3):299-310.
Pala, O., Khorram, S., Iiames, J.S., and Knight, J., 2003. Identification and mapping of riparian vegetation in eastern North Carolina using remotely sensed data, ASPRS Annual Conference Proceedings, 5-9 May, 2003, Anchorage, Alaska, 11 pp.
Iiames, J.S., Pilant, D., and Lewis, T.E., 2004. Leaf Area Index (LAI) Change Detection on Loblolly Pine Forest Stands with Complete Understory Removal, ASPRS Annual Conference Proceedings, 23-28 May, 2004, Denver, Colorado, 11 pp.
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Iiames, J.S., Pilant, A.N., and Lewis, T.E.. 2004. In-situ estimates of forest LAI for MODIS data validation. Invited chapter IN: Lunetta, R. and J. Lyon (eds.), Remote Sensing and GIS Accuracy Assessment, CRC Press, Boca Raton, FL, ISBN 156670443X, p. 41-58, 2004-1.
Iiames, J.S., Pilant, A.N., Lewis, T.E., and Congalton, R.G., 2004. Accounting for error propagation in the development of a leaf area index (LAI) reference map to assess the MODIS MOD15A2 LAI product, TIES 2004 – Accuracy 2004 Joint Meeting Proceedings, 28 June - 1 July, 2004, Portland, Maine, 14 pp.
Morisette, J., Privette, J.L., Baret, F., Myneni, R.B., Nickeson, J., Garrigues, S., Shabanov, N., Fernandes, R., Leblanc, S., Kalacska, M., Sanchez-Azofeifa, G.A., Chubey, M., Rivard, B., Stenberg, P., Rautiainen, M., Voipio, P., Manninen, T., Pilant, A., Lewis, T., Iiames, J., Colombo, R., Meroni, M., Busetto, L., Cohen, W., Turner, D., Warner, E.D., and Petersen, G.W., 2006. Validation of global moderate-resolution LAI products: A framework proposed within CEOS Land Product Validation Subgroup. IEEE Geoscience and Remote Sensing, 44(7):1804-1817.
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Iiames, J.S., Congalton, R.G., Pilant, A.N., and Lewis, T.E., 2008. Leaf area index (LAI) change detection analysis on Loblolly pine (Pinus taeda) following complete understory removal. Photogrammetric Engineering and Remote Sensing, 74(11):1389-1400.
Iiames, J.S., Congalton, R.G., Pilant, A.N., and Lewis, T.E., 2008. Validation of an integrated estimation of Loblolly pine (Pinus taeda l.) leaf area index (LAI) utilizing two indirect optical methods in the southeastern United States. Southern Journal of Applied Forestry, 32(3):101-110.
Iiames, J.S., 2010. Accuracy sampling design bias on coarse spatial resolution land cover data in the Great Lakes Region (United States and Canada). Accuracy 2010 Symposium, 20-23 July, 2010, Leicester, U.K., pp. 389-391.
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Shao, Y., Lunetta, R.S., Ediriwickrema, J. and Iiames, J., 2010. Mapping Cropland and Major Crop Types across the Great Lakes Basin using MODIS-NDVI Data. Photogrammetric Engineering and Remote Sensing, 75:73-84.
Iiames, J.S. and Lunetta, R., 2013. Classification and Accuracy Assessment for Coarse Resolution Mapping within the Great Lakes Basin, USA. Photogrammetric Engineering and Remote Sensing, 79(11):1015-1026
Verkerke, J.L., Khorram, S., Ediriwickrema, J., Nelson, S., Biging, G., Potts, M., Chen, Y., Murphy, E., Mace, T. and Iiames, J., 2014. Burn area delineation via single image polarmetric synthetic aperture radar backscatter classification. Proceedings of the International Astronautical Congress, IAC, 29 September - 3 October, 2014, Toronto, Canada, pp. 2611-2620.
Marks, W., Iiames, J.S., Lunetta, R.S., Khorram, S., and Mace, T.H., 2014. Basal Area and Biomass Estimates of Loblolly Pine Stands using L-Band UAVSAR. Photogrammetric Engineering and Remote Sensing, 80(1):33-42.
Iiames, J.S., Congalton, R.G., and Lunetta, R.S., 2013. Analyst variation associated with landcover image classification of Landsat ETM+ data for the assessment of coarse spatial resolution regional/global landcover products. GIScience and Remote Sensing, 50(6): 604-622. (DOI: 10.1080/15481603.2013.865399)
Iiames, J.S., Congalton, R.G., Lewis, T.E., and Pilant, A.E., 2015. Uncertainty analysis in the creation of a fine-resolution leaf area index (LAI) reference map for validation of moderate resolution LAI products. Remote Sensing, 7: 1397-1421. (DOI: 10.3390/rs70201397)
Shao, Y., Lunetta, R.S., Wheeler, B., Iiames, J.S., and Campbell, J.B., 2016. An evaluation of time-series smoothing algorithms for land-cover classifications using MODIS-NDVI multi-temporal data. Remote Sensing of Environment, 174:258-265.
Cooter, E., Iiames, J.S., and Schwede, D., 2016. A comparison of simulated and field-derived leaf area index (LAI) and canopy height values from four forest complexes in the southeastern USA. In Draft.
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