Publications

Books

2017

Journal Articles (Peer Reviewed)

2018

  • Chu X., J. Xinhua, and L. Yang, 2018: Quantification of wetting front movement under the influence of surface topography. Soil Research 56, 382-395. doi: 10.1071/SR17071.

  • Goines, D.C. and A. Kennedy, 2018: Precipitation from a Multi-Year Database of Convection-Allowing WRF Simulations. JGR Atmospheres, 123 doi: 10.1002/2016JD026068

  • Pereira, P., E.C. Brevik, and S. Trevisani, 2018: Mapping the environment. Sci. Total Environ. 610-611, 17-23. doi: 10.1016/j.scitotenv.2017.08.001.

  • Toth, T. D., J. R. Campbell, J. S. Reid, J. L. Tackett, M. A. Vaughan, J. Zhang, and J. W. Marquis, 2018: Minimum aerosol layer detection sensitivities and their subsequent impacts on aerosol optical thickness retrievals in CALIPSO level 2 data products. Atmos. Meas. Tech., 11, 499-514, doi: 10.5194/amt-11-499-2018

  • Wachenheim, C., D. C. Roberts, N. Dhingra, W. Lesch, and J. Devney, 2018: Conservation Reserve Program enrollment decisions in the Prairie Pothole Region. J. of Soil and Water Conservation 73(3): 337-352. doi: 10.2489/jswc.73.3.337

2017
2016

  • Brevik, E. C., A. Baumgarten, C. Calzolari, A. Jordán, C. Kabala, B.A. Miller, and P. Pereira, 2016: Editorial: Historical perspectives and future needs in soil mapping, classification, and pedologic modeling. Geoderma, 264, 253-255. doi: 10.1016/j.geoderma.2015.09.022.

  • Brevik, E. C., Homburg, J. A., Miller, B. A., Fenton, T. E., Doolittle, J. A., and Indorante, S. J. 2016: Selected highlights in American soil science history from the 1980s to the mid 2010s. Catena, 146, 128-146. doi: 10.1016/j.catena.2016.06.021

  • Brevik, E. C., Calzolari, C., Miller, B. A., Pereira, P., Kabala, C., Baumgarten, A., and Jordán, A. 2016: Soil mapping, classification, and pedologic modeling: History and future directions. Geoderma. 264: 256-274. doi: 10.1016/j.geoderma.2015.05.017.

  • Bu, H., Sharma, L. K., Denton, A., and Franzen, D. W. 2016. Sugar beet yield and quality prediction at multiple harvest dates using active-optical sensors. Agron. J. 108: 273-284. doi:10.2134/agronj2015.0268.

  • Franzen, D. W., Sharma, L. K., Bu, H., and Denton, A.. 2016: Evidence for the ability of active optical sensors to detect sulfur deficiency in corn. Agronomy Journal, 108, 2158-2162. doi:10.2134/agronj2016.05.0287.

  • Guo, H., Dou, C., Zhang, X., Han, C., and Yue, X. 2016: Earth observation from the manned low earth orbit platforms. ISPRS J. of Photogrammetry and Remote Sensing, 115: 103-118. doi:10.1016/j.isprsjprs.2015.11.004.

  • Habtezion, N., Nasab, M. Tahmasebi, and Chu, X.. 2016: How does DEM resolution affect microtopographic characteristics, hydrologic connectivity, and modelling of hydrologic processes? Hydrological Processes, 30, 4870-4892. doi:10.1002/hyp.10967.

  • Kennedy, A., Dong, X., and Xi, B. 2016: Cloud fraction at the ARM SGP site. Reducing uncertainty with self organizing maps. Theor. Appl. Climatol., 124(1), 43-54. doi: 10.1007/s00704-015-1384-3.

  • Khaledian, Y., Kiani, F., Ebrahimi, S., Brevik, E. C. and Aitkenhead-Peterson, J. (2016): Assessment and monitoring of soil degradation during land use change using multivariate analysis. Land Degrad. Develop., doi: 10.1002/ldr.2541

  • Khaledian, Y., Pereira, P., Brevik, E. C., Pundyte, N., and Paliulis, D. (2016): The influence of organic carbon and pH on heavy metals, potassium, and magnesium levels in Lithuanian podzols. Land Degrad. Develop., doi: 10.1002/ldr.2638.

  • Lozano-García, B., Parras-Alcántara, L., and Brevik, E. C.. 2016: Impact of topographic aspect and vegetation (native and reforested areas) on soil organic carbon and nitrogen budgets in Mediterranean natural areas, Science of The Total Environment, 544: 963-970. doi: 10.1016/j.scitotenv.2015.12.022.

  • Molodtsova, T., Molodtsov, S., Kirilenko, A., Zhang, X., and VanLooy, J. 2016: Evaluating flood potential with GRACE in the United States, Nat. Hazards Earth Syst. Sci., 16, 1011-1018, doi:10.5194/nhess-16-1011-2016.

  • Sharma, L. K., Bu, H., Denton, A., and Franzen, D. W. 2016: Use of corn height measured with an acoustic sensor improves yield estimation with ground based active optical sensors. Computers and Electronics in Agriculture, 124, 254-262. doi: 10.1016/j.compag.2016.04.016.

  • Zhang, J., J.S. Reid, M. Christensen, and A. Benedetti, A. 2016: An evaluation of the impact of aerosol particles on weather forecasts from a biomass burning aerosol event over the Midwestern US: Observational-based analysis of surface temperature, Chem. Phys., 16, 6475-6494, doi:10.5194/acp-16-6475-2016.

2015

  • Carr, P. M., E.C. Brevik, R.D. Horsley, and G.B. Martin, 2015: Long-term no-tillage sequesters soil organic carbon in cool semiarid regions. Soil Horiz. 56(6), 1-7. doi:10.2136/sh15-07-0016

  • Choi, J., D. Roberts, and E. Lee, 2015: Forecasting oil production in North Dakota using the seasonal autoregressive integrated moving average (S-ARIMA). Natural Resources, 6(1), 16-26. doi: 10.4236/nr.2015.61003.

  • Choi, J., Hearne, R., Lee, K., and Roberts, D. 2015: The relation between water pollution and economic growth using the environmental Kuznets curve: a case study in South Korea. Water International, 40(3), 499-512. doi:10.1080/02508060.2015.1036387

  • Chu, X.. 2015: Delineation of pothole-dominated wetlands and modeling of their threshold behaviors. Journal of Hydrologic Engineering, D5015003-p, 1-11, doi:10.1061/(ASCE)HE.1943-5584.0001224.

  • Chu, X., G. Padmanabhan, and D. Bogart, 2015: Microrelief-controlled overland flow generation: Laboratory and field experiments. Applied and Environmental Soil Science. 2015, Article ID 642952. doi:10.1155/2015/642952.

  • DeLorme, A. 2015: “North Dakota Fisheries Investigations: Crayfish of North Dakota,” North Dakota Game and Fish Department Report, 92.

  • Dronin, N., N. Telnova, A. Kirilenko, E. Milanova, and N. Kalutskova, 2015: Observed and projected climate change and its impact on ecosystems’ productivity in forest-steppe and steppe zones of Russia and neighboring (FSU) countries. Romanian Journal of Geography, 59(2), 91-100. [Available online]

  • Gehendra, K. and A. Kirilenko, 2015: Considering climate change in the estimation of long-term flood risks of Devils Lake in North Dakota. Journal of the American Water Resources Association (JAWRA). 51(5): 1221-1234. doi: 10.1111/1752-1688.12300

  • Ibáñez, J. J., R. Pérez-Gómez, C. Oyonarte, and E.C. Brevik, 2015: Are there arid land soilscapes in southwestern Europe?. Land Degrad. Develop., 26, 853–862. doi: 10.1002/ldr.2451.

  • Nelson, J. J., P. Barnhart, and E. Gillam, 2015: Distribution and occurrence of bat species in North Dakota. Prairie Naturalist, 47, 83-92. [Available online]

  • Pedrera-Parrilla, A., E.C. Brevik, E. Van De Vijver, A.J. Espejo, E.V. Taguas, J. V. Giráldez, S. Martos, and K. Vanderlinden, 2015: Effects of different topsoil properties on apparent electrical conductivity under varying soil water contents. Estudios en la Zona No Saturada, 12, 25-32. [Available online]

  • Sharma, L. K., H. Bu, A. Denton,  and D.W. Franzen, 2015: Active-optical sensors using red NDVI compared to red edge NDVI for prediction of corn grain yield in North Dakota, U.S.A.. Sensors, 15(11), 27832-27853. doi: 10.3390/s151127832

  • Yang, J. and X. Chu, 2015: A new modeling approach for simulating microtopography-dominated, discontinuous overland flow on infiltrating surfaces. Advances in Water Resources, 78, 80-93. http://dx.doi.org/10.1016/j.advwatres.2015.02.004

  • Zhang, J. and X. Chu, 2015: Impact of DEM resolution on puddle characterization: Comparison of different surfaces and methods. Water, 7(5), 2293-2313. doi:10.3390/w7052293.

  • Zhang, X., B. Scheving, B. Shoghli, C. Zygarlicke, and C. Wocken, C., 2015: Quantifying gas flaring CH4 consumption using VIIRS. Remote Sensing, 7(8), 9529-9541. doi:10.3390/rs70809529

  • Zhulu L., M.J. Anar, and H. Zheng, 2015: Hydrologic and water-quality impacts of agricultural land use changes incurred from bioenergy policies, Journal of Hydrology, 525, 429-440. doi: 10.1016/j.jhydrol.2015.04.001.

2014

    Proceedings

    2018

    • Chu, X. (2018): Quantifying Discontinuity, Connectivity, Variability, and Hierarchy in Overland Flow Generation: Comparison of Different Modeling Methods. In: Singh V., Yadav S., Yadava R. (eds) Hydrologic Modeling. Water Science and Technology Library, vol 81. Springer, Singapore. DOI: 10.1007/978-981-10-5801-1_41.

    2016

    • Denton, A. M., H. Chavan, D.W. Franzen, and J.F. Nowatzki, 2016: Window-based Regression Analysis of Field Data. 13th International Conference for Precision Agriculture, 2016. International Society of Precision Agriculture. St. Louis, MO. [Available online]

    • Nasab, Tahmasebi M., Xinhua, J., and Chu, X.. 2016: Modeling of subsurface drainage under varying microtopographic, soil and rainfall conditions. Proc. 2016 10th International Drainage Symposium Conference, 2016, Minneapolis, MN. doi: 10.13031/IDS.20162499952

    2015

    • Brevik, K. M., Jean, K., Bowman, M., and Bowen, B. 2015: Impact of the You’re Hired! Program on Student Attitudes and Understanding of Engineering (RTP, Strand 4). Proc. 2015 ASEE Annual Conference and Exposition, Seattle, Washington. American Society for Engineering Education. doi: 10.18260/p.24228

    Presentations

    2018
    2017

    • Denton, A. M.  and A. Roy (2017): Cluster-overlap algorithm for assessing preprocessing choices in environmental sustainability. 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, pp. 4212-4220. doi: 10.1109/BigData.2017.8258447

    2016

    • Gallina, M. F., Obert, M. L., Ruggles, R., Burshek, K., Munch, J. A. & Juntunen, C. L. (August 2016). Factors influencing farmers’ and ranchers’ land-use decision making.  Poster presented at the Annual Convention of the American Psychological Association, Denver, CO.

    2015

    • Brevik, K. M., Jean, K., Bowman, F. M., & Bowen, B. (2015, June), Impact of the You’re Hired! Program on Student Attitudes and Understanding of Engineering (RTP, Strand 4) Paper presented at 2015 ASEE Annual Conference and Exposition, Seattle, Washington. 10.18260/p.24228 (view)

    Dissertations/Thesis

    2017
    2016

    • Badu, Sadhana, 2016: Computing the yield per acre for a given field using GIS capabilities. M.S. Thesis. Dept. of Computer Science and Operations Research, North Dakota State University.

    • Li, Shuhang. 2016: Classification of LIDAR data using Window based techniques. M.S. Thesis. Dept. of Computer Science and Operations Research, North Dakota State University.

    • Roy, Arighna. 2016: Quantifying relationships between two time series data sets. M.S. Thesis. Dept. of Computer Science and Operations Research, North Dakota State University.

    2015

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