Posts

Ahsan, M., A. Denton, Multi-scalar Analysis of Geospatial Agricultural Data for Sustainability

Ahsan, M., A. Denton, (2016) Multi-scalar Analysis of Geospatial Agricultural Data for Sustainability, 2nd International Workshop on Big Data for Sustainable Development in conjunction with 2016 IEEE International Conference on Big Data, doi:10.1109/BigData.2016.7840843

Roy, A., Quantifying relationships between two time series data sets

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.

Li, S., Classification of LIDAR data using Window based techniques. M.S. Thesis

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.

Badu, S., Computing the yield per acre for a given field using GIS capabilities

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.

Gallina, M. F., Factors influencing farmers’ and ranchers’ land-use decision making

Gallina, M. F., Obert, M. L., Ruggles, R., Burshek, K., Munch, J. A., and Juntunen, L. 2016: Factors influencing farmers’ and ranchers’ land-use decision making.  Poster presented at the 124th Annual Convention, Denver, CO, American Psychological Association. [Available online]

Nasab, T. M., Modeling of subsurface drainage under varying microtopographic, soil and rainfall conditions

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

Denton, A. M., H. Chavan, D.W. Franzen, and J.F. Nowatzki, 2016: Window-based Regression Analysis of Field Data

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]

Zhang, J., 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

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.

Sharma, L. K., Use of corn height measured with an acoustic sensor improves yield estimation with ground based active optical sensors

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.

Molodtsova, T., Evaluating flood potential with GRACE in the United States

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.