Jude H. Kastens

Research Assistant Professor

Contact Information Phone: 785-864-1519 Fax: 785-864-1534 E-mail: jkastens@ku.edu Office: 123 Higuchi Hall

Jude Kastens is a Research Assistant Professor at the Kansas Applied Remote Sensing Program (KARS). In 2008, he completed his Ph.D. in mathematics, focusing on statistical cross validation and floodplain mapping. He received an M.A. in mathematics in 1999, focusing on numerical analysis and signal processing, and has been employed at KARS since then. He received a B.A. in mathematics and a B.S.E. in secondary education from the University of Kansas in 1996. Jude also has over 12 years of experience working on the Kastens family farm in Rawlins County in northwest Kansas, and each summer goes back to help with the wheat harvest.

Jude works for the KARS program as a numerical analyst and all-purpose data modeler, and he has much experience working with MATLAB, ESRI ArcMap, and ERDAS Imagine software. The focus of Jude's work at KARS involves using remote sensing data for agricultural applications such as crop yield forecasting, but his responsibilities extend to database management, hydrologic modeling, land cover change detection, ecological modeling, and whatever else crosses his path.

Curriculum Vitae

Professional Papers and Reports

Martinko, E., J. Whistler, D. Peterson, J. Kastens, R. Hagen, D. Huggins, M. Jakubauskas. 2007. A Watershed Classification System for Tiered Diagnosis of Biological Impairments: A Scalable, Central Plains Focus with National Applicability. Final Report to the U.S. Environmental Protection Agency STAR Program, Cooperative Agreement RD-83059701. KBS Report 141. Kansas Biological Survey, University of Kansas Lawrence, 153 pp. (PDF)

Rowley, R.J., K.P. Price, and J.H. Kastens (2007). Remote Sensing and the Rancher. Rangeland Ecology and Management, 60: 359-368. (PDF)

Wardlow, B.D., S.L. Egbert, and J.H. Kastens (2007). Analysis of Time-Series MODIS 250-Meter Vegetation Index Data for Crop Classification in the U.S. Central Great Plains. Remote Sensing of Environment, 108(3): 290-310. (PDF)

Brown, J.C., W.E. Jepson, J.H. Kastens, B.D. Wardlow, J.M. Lomas, and K.P. Price. 2007. Multitemporal, Moderate-Spatial-Resolution Remote Sensing of Modern Agricultural Production and Land Modification in the Brazilian Amazon. GIScience & Remote Sensing, 44(2): 117–148. (PDF)

Wardlow, B.D., J.H. Kastens, and S.L. Egbert. 2006. Using USDA Crop Progress Data and MODIS Time-Series NDVI for Regional-Scale Evaluation of Greenup Onset Date. Photogrammetric Engineering and Remote Sensing, 72(11): 1225-1234. Recipient, Leica Geosystems Award for Best Scientific Paper in Remote Sensing, 2007, and John I. Davidson President’s Award for Practical Papers, 2007. (PDF)

Kastens, J.H., T.L. Kastens, D.L.A. Kastens, K.P. Price, E.A. Martinko, and R. Lee. 2005. Image masking for crop yield forecasting using time series AVHRR NDVI imagery. Remote Sensing of Environment, 99(3): 341-356. (PDF)

Breshears, D.D., N.S. Cobb, P.M. Rich, K.P. Price, C.D. Allen, R.G. Balice, W.H. Romme, J.H. Kastens, M.L. Floyd, J. Belnap, J.J. Anderson, O.B. Myers, and C.W. Meyer. 2005. Regional vegetation die-off in response to global-change type drought. Proceedings of the National Academy of Sciences (USA), 102(42): 15144-15148. (PDF)

Kastens, J.H., M.E. Jakubauskas, D.E. Lerner. 2003. Using temporal averaging to decouple annual and non-annual information in AVHRR NDVI time series. IEEE Transactions on Geoscience and Remote Sensing, 41(11), 2590-2594. (PDF)

Jakubauskas, M.E., D.R. Legates, and J.H. Kastens. 2002. Crop identification using harmonic analysis of time-series AVHRR NDVI data. Computers and Electronics in Agriculture. Vol. 37, Issues 1-3, pp.127-139. (PDF)

Jakubauskas, M.E., D.L. Peterson, J.H. Kastens, and D.R. Legates. 2002. Time Series Remote Sensing of Lanscape-Vegetation Interactions in the Southern Great Plains. Photogrammetric Engineering and Remote Sensing 68(10): 1021-1030. (PDF)

Jakubauskas, M.E., D.R. Legates, and J.H. Kastens. 2001. Harmonic analysis of time-series AVHRR NDVI data. Photogrammetric Engineering and Remote Sensing 67(4): 461-470. Recipient, Boeing Autometric Award for Best Paper in Image Analysis and Interpretation, 2002. (PDF)

Proceedings and Other Publications

Watts, T., J. Atwood, K. Price, and J. Kastens. 2005. The Big Picture—Satellite Remote Sensing Applications in Rangeland Assessment and Crop Insurance. USDA Agricultural Outlook Forum 2005, February 24-25, 2005, Arlington, VA. Speech Booklet 2, 26 pp. (Invited paper) (PDF)