Pastick, N.J., Jorgenson, Goetz, S.J., Jones, B.M., Wylie, B.K., Minsley, B.J., Genet, H., Knight, J.F., Swanson D.K., Jorgenson, J.C. (2018) Spatiotemporal remote sensing of ecosystem change and causation across Alaska. Global Change Biology, 23(5), pp. 1171-1189. DOI: 10.1111/gcb.14279
Wilson, B.T., Knight, J.F., McRoberts, R.E. (2018) Harmonic regression of Landsat time series for modeling attributes from national forest inventory data. ISPRS Journal of Photogrammetry and Remote Sensing, 137, pp. 29-46.
Pastick, N.J., Duffy, P., Genet, H., Rupp, T.S., Wylie, B.K., Johnson, K.D., Jorgenson, M.T., Bliss, N., Mcguire, A.D., Jafarov, E.E., Knight. J.F. (2017) Historical and Projected Trends in Landscape Drivers Affecting Carbon Dynamics in Alaska. Ecological Applications, 27(5), pp. 1383-1402. DOI: .
Jiang, Z., Li, Y., Shekhar, S., Rampi, L., Knight, J.F. (2017). Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity: A Summary of Results. ACM SIGSPATIAL.
Knight, J. F., Pelletier, K. C. and Rampi, L. P. (2017). Change Detection. The International Encyclopedia of Geography. 1–9.
El Garouani, A., Mulla, D.J., El Garouani, S., Knight, J.F. (2017) Analysis of Urban Growth and Sprawl from Remote Sensing Data: Case of Fez, Morocco. International Journal of Sustainable Built Environment, 6(1):160-169,. DOI: 10.1016/j.ijsbe.2017.02.003.
Pei, W, Yao, S, Knight, J.F., Dong, S., Pelletier, K.C., Rampi, L.P., Wang, Y., Klassen, J. (2017) Mapping and detection of land use change in a coal mining area using object-based image analysis. Environmental Earth Sciences, 76(125). DOI: 10.1007/s12665-017-6444-9. Download a PDF of this paper.
Pei, W, Yao, S., Dong, S., Knight, J.F., Xu, C., Chen, Y. (2015) Using field spectral measurements to estimate chlorophyll-a in waterlogged areas of Huainan, China. GIScience and Remote Sensing. 52(6): 660-679 DOI: 10.1080/15481603.2015.1082173. Download a PDF of this paper.
Corcoran, J.M., Knight, J.F., Pelletier, K.C., Rampi, L.P., Wang, Y. (2015) The effects of point or polygon based training data on RandomForest classification accuracy of wetlands. Remote Sensing. 2015(7), DOI: 10.3390/rs70404002. DOI: 10.3390/rs70404002. | Download a PDF of this paper.
Kloiber, S.M., Macleod, R.D., Smith, A.J., Knight, J.F., Huberty, B.J. (2015) A semi-automated, multi-source data fusion update of a wetland inventory for east-central Minnesota, USA. Wetlands. January 2015, DOI: 10.1007/s13157-014-0621-3. | Download a PDF of this paper.
Nigon, T.J., Mulla, D.J., Rosen, C.J., Cohen, Y., Alchanatis, V., Knight, J.F., Rud, R. (2015) Hyperspectral aerial imagery for detecting nitrogen stress in two potato cultivars. Computers and Electronics in Agriculture, 112: 36–46. DOI: 10.1016/j.compag.2014.12.018. | Download a PDF of this paper.
Knight, J.F., Corcoran, J.M., Rampi, L.P., Pelletier, K.C. (2015) "Theory and Applications of Object-Based Image Analysis and Emerging Methods in Wetland Mapping" In: Remote Sensing of Wetlands: Applications and Advances. Editors: Tiner, R.W., Lang, M.W., Klemas, V.V. CRC Press, ISBN 9781482237351, 574 pp. | Download a PDF of this paper.
Jiang, Z., Shekhar, S., Zhou, X., Knight, J.F., Corcoran, J.M. (2014) Focal-Test-Based Spatial Decision Tree Learning. IEEE Transactions on Knowledge and Data Engineering, 27(6): 1547-1559. DOI: 10.1109/TKDE.2014.2373383. | Download a PDF of this paper.
Larue, M.A. and Knight. J.F. (2014) Applications of very high resolution imagery in the study and conservation of large predators in the Southern Ocean. Conservation Biology. doi:10.1111/cobi.12367. | Download a PDF of this paper.
Rampi, L.P., Knight, J.F., and Pelletier, K.C. (2014) Wetland mapping in the Upper Midwest United States: an object-based approach integrating lidar and imagery data. Photogrammetric Engineering and Remote Sensing, 80(5):439-449. DOI: 10.14358/PERS.80.5.439. | Download a PDF of this paper.
Rampi, L.P., Knight, J.F., and Lenhart, C.F. (2014) Comparison of flow direction algorithms in the application of the CTI for mapping wetlands in Minnesota. Wetlands, Feb. 2014, doi: 10.1007/s13157-014-0517-2. DOI: 10.1007/s13157-014-0517-2. | Download a PDF of this paper.
Jiang, Z.,Shekhar, S., Zhou, X., Knight, J.F., Corcoran, J.M. (2013) Focus-Test-Based Spatial Decision Tree Learning: A Summary of Results. 2013 IEEE International Conference on Data Mining (ICDM '13). DOI: 10.1109/ICDM.2013.96. | Download a PDF of this paper. *
Corcoran, J.M., Knight, J.F., and Gallant, A.L. (2013) Influence of Multi-Source and Multi-Temporal Remotely Sensed and Ancillary Data on the Accuracy of Random Forest Classification of Wetlands in Northern Minnesota. Remote Sensing, 5(7): 3212-3238. DOI: 10.3390/rs5073212. | Download a PDF of this paper.
Knight, J.F., B. Tolcser, J. Corcoran, and L. Rampi. (2013) The effects of data selection and thematic detail on the accuracy of high spatial resolution wetland classifications. Photogrammetric Engineering and Remote Sensing, 79(7): 613-623. DOI: 10.14358/PERS.79.7.613. | Download a PDF of this paper.
Jiang, Z., Shekhar, S., Mohan, P., Knight, J.F., Corcoran, J. (2012) Learning spatial decision tree for geographical classification: a summary of results. ACM SIGSPATIAL GIS 2012. DOI: 10.1145/2424321.2424372. | Download a PDF of this paper. *
Wiesner, D.L., Moskalenko, O., Corcoran, J.M., Meya, D.B., Kajumbula, H., Knight, J.F., Boulware, D.R., and Nielsen, K. (2012) Strain genotype influences phenotype, clinical outcome, and immunological response during cryptococcal meningoencephalitis in humans. mBio, 3(5), DOI:10.1128/mBio.00196-12. | Download a PDF of this paper
Knight, J.F. and M.L. Voth. (2012) Application of MODIS imagery for intra-annual water clarity assessment of Minnesota lakes. Remote Sensing, 4(7): 2181-2198. DOI: 10.3390/rs4072181. | Download a PDF of this paper
Corcoran, J.M, Knight, J.F., B. Brisco, S. Kaya, A. Cull, K. Murhnaghan. (2011) The integration of optical, topographic, and radar data for wetland mapping in northern Minnesota. Canadian Journal of Remote Sensing, 27(5): 564-582. DOI: 10.5589/m11-067. | Download a PDF of this paper
Knight, J.F. and M. Voth. (2011) Mapping Impervious Cover Using Multi-Temporal MODIS NDVI Data. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 4(2). DOI: 10.1109/JSTARS.2010.2051535. | Download a PDF of this paper
Lunetta, R.S., J.F. Knight, H.W. Paerl, J.J. Streicher, B.J. Peierls, T. Gallo, J.G. Lyon, T.H. Mace, C.P. Buzzelli. (2009) Measurement of Water Color using AVIRIS Imagery to Assess the Potential for an Operational Monitoring Capability in the Pamlico Sound Estuary, USA. International Journal of Remote Sensing, 30(13): 3291-3314. DOI: 10.1080/01431160802552801. | Download a PDF of this paper
Lunetta, R.S., J.F. Knight, J. Ediriwickrema, J.G. Lyon, L.D. Worthy, (2006). Land Cover Change Detection Using Multi-Temporal MODIS NDVI Data. Remote Sensing of Environment, 105: 142-154. DOI: 10.1016/j.rse.2006.06.018. | Download a PDF of this paper
Knight, J.F. and R.S. Lunetta, (2006). Regional Scale Land Cover Characterization Using MODIS NDVI 250 m Multi-temporal Imagery: A Phenology-Based Approach. GIScience and Remote Sensing, 43(1): 1-23. DOI: 10.2747/1548-1603.43.1.1. | Download a PDF of this paper
Knight, J.F. and R.S. Lunetta, (2003). An Experimental Assessment of Minimum Mapping Unit Variability. IEEE Transactions on Geoscience and Remote Sensing, 41(9). DOI: 10.1109/TGRS.2003.816587. | Download a PDF of this paper
Khorram, S., J.F. Knight, and H.I. Cakir, (2003). Thematic Accuracy Assessment of Regional Scale Land Cover Data. In R.S. Lunetta and J.G. Lyon, editors, Remote Sensing and GIS Accuracy Assessment. Boca Raton: CRC Press. Download a PDF of this paper.
Lunetta, R.S., J.S. Iiames, J.F. Knight, R.G. Congalton, T.H. Mace, (2001). An Assessment of Reference Data Variability Using a Virtual Field Reference Database. Photogrammetric Engineering and Remote Sensing, Vol.67, No. 6, pp. 707-715. Download a PDF of this paper
*In the Computer Science discipline, conference papers are peer-reviewed.
Khorram, S., J.F. Knight, and H.I. Cakir. (2003) “Thematic Accuracy Assessment of Regional Scale Land Cover Data.” Geospatial Data Accuracy Assessment. Editors: R.S. Lunetta and J.G. Lyon. EPA Report: EPA/600/R-03/064. Washington, DC: Environmental Protection Agency, pp. 107-123.
Knight, J.F., (2002). Improving Estimates of the Accuracy of Thematic Maps. Ph.D. Dissertation, North Carolina State University.
Khorram, S., H. Yuan, and J.F. Knight, (2001). Application of Neural Network-based Classification for Watershed Land Cover Mapping, Proceedings of the 20th International Cartographic Conference, Beijing, P. R. China, v.1, pp.744 -754.
Knight, J.F. and S. Khorram, (2000). Accuracy Assessment of Thematic Data Using Fuzzy Sets and Inter-Class Spectral Distances. Proceedings of the 4th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences. Delft University Press. Delft, The Netherlands, pp 359-364.
Khorram, S., J.F. Knight, X.L. Dai, H. Yuan, H.I. Cakir, Z. Mao, (2000). Issues Involved In The Accuracy Assessment Of Large Scale Land Use/Land Cover Mapping And Monitoring From Remotely Sensed Data. Proceedings of the IEEE International Geoscience and Remote Sensing Symposiums (IGARSS 2000), Hawaii.
Khorram, S., X.L. Dai, J.F. Knight, H.I. Cakir, Z. Mao, and H. Yuan, (2000). Improving Estimates of the Accuracy of Thematic Maps When Using Aerial Photos as the Ground Reference Source. Proceedings 2000 ASPRS Annual Conference, Washington, DC.
Khorram, S., L.P. Jones, J.F. Knight, H.I. Cakir, H. Yuan, Z. Mao, and D.M. Haupt, (2000). Development of a Land Cover Classification System to Assist the Local Watershed Planning Process for the North Carolina Wetlands Restoration Program: A Land Cover Classification for the Hominy Swamp Creek (Wilson, NC) Watershed Using Digitized Color Infra-red Aerial Photographs as the Data Source. Watershed Management & Operations Management 2000.
Khorram, S. and J.F. Knight. "Land Cover Classification of the Hominy Creek Watershed." Center for Earth Observation Technical Report 217. June, 2000.
Khorram, S. and J.F. Knight. "Accuracy Assessment of the Region 5 Dataset of the MRLC Consortium's National Land Cover Data." Center for Earth Observation Technical Report 218. February, 2000.
Khorram, S., X.L. Dai, and J.F. Knight. "Accuracy Assessment of the EPA Region IV Dataset of the MRLC Land Cover Mapping Program." Center for Earth Observation Technical Report 215. October, 1999.