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Bu, H., L. K. Sharma, A. Denton, and D. W. Franzen, 2017: Comparison of Satellite Imagery and Ground-Based Active Optical Sensors as Yield Predictors in Sugar Beet, Spring Wheat, Corn, and Sunflower. Agron. J. 109 299-308. doi:10.2134/agronj2016.03.0150

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Tahmasebi Nasab, M., V. Singh, X. Chu, 2017: SWAT Modeling for Depression-Dominated Areas: How Do Depressions Manipulate Hydrologic Modeling? Water, 9(1), 58. doi:10.3390/w9010058

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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]

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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.