Jude Kastens
Academic degrees
Ph.D., Mathematics, University of Kansas, 2008
M.A., Mathematics, University of Kansas, 1999
B.A., Mathematics, University of Kansas, 1996
B.S.E, Secondary Mathematics, University of Kansas, 1996
Program affiliation
Kansas Applied Remote Sensing
Areas of specialization
Statistics, numerical analysis and GIS
Research interests
Jude is a numerical analyst and all-purpose data modeler with extensive experience working with MATLAB, ESRI ArcMap and ERDAS Imagine software. The focus of his work with the Kansas Applied Remote Sensing Program involves using remote sensing data for agricultural applications such as crop yield forecasting, but his work extends to database management, hydrologic modeling, land cover change detection and ecological modeling.
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Kastens, J.H., J.C. Brown, A.C. Coutinho, C.R. Bishop, and J.C.D.M. Esquerdo. 2017. Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil. PLOS ONE, 12(4): e0176168. https://doi.org/10.1371/journal.pone.0176168
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deNoyelles, F. Jr., V.H. Smith, J.H. Kastens, L. Bennett, J.M. Lomas, C.W. Knapp, S. Bergin, S.L. Dewey, B.R.K. Chapin, and D.W. Graham. 2016. A 21-year record of vertically migrating sub-epilimnetic populations of Cryptomonas spp. Inland Waters, 6(2): 173-184. DOI: 10.5268/IW-6.2.930 https://www.fba.org.uk/journals/index.php/IW/article/viewFile/930/550
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deNoyelles, F., and J.H. Kastens. 2016. Reservoir sedimentation challenges in Kansas. Transactions of the Kansas Academy of Science, 119(1): 69-81. http://www.bioone.org/doi/full/10.1660/062.119.0110
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Kastens, J.H., D.S. Baker, D.L. Peterson, and D.G. Huggins. 2016. Wetland Program Development Grant (WPDG) FFY 2013--Playa Mapping and Assessment. Kansas Biological Survey Report No. 186. 28pp.
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Martinko E. and J. deNoyelles, K. Bosnak, M. Jakubauskas, D. Huggins, J. Kastens, A. Shreders, D. Baker, A. Blackwood, S. Campbell, C. Rogers. 2014. Atlas of Kansas Lakes: A resource for communities, policy makers and planners. A publication of the Kansas Biological Survey. 242 pages.
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Williams, B., E. D’Amico, J.H. Kastens, J. Thorp, J. Flotemersch, M. Thoms. 2013. Automated riverine landscape characterization: GIS-based tools for watershed-scale research, assessment, and management. Environmental Monitoring and Assessment 185: 7485-7499.
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Brown, J.C., J.H. Kastens, A.C. Coutinho, D.C. Victoria, and C.R. Bishop (2013). Classifying Multiyear Agricultural Land Use Data from Mato Grosso Using Time-Series MODIS Vegetation Index Data. Remote Sensing of Environment, 130(3): 39-50.
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Dobbs, K., J. Kastens, S. Egbert. 2010. Evaluation of NED Elevation Data and the FLDPLN Model for Inundation Extent Estimation.
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Kastens, J., K. Dobbs. 2010. Inundation fact sheet 2010.
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Kastens, J., K. Dobbs, S. Egbert. 2010. Mapping Potential Flood Extents in Eastern Kansas.