Hashemi-Beni, L.; Kurkalova, L.A.; Mulrooney, T.J.; Azubike, C.S. Combining Multiple Geospatial Data for Estimating Aboveground Biomass in North Carolina Forests. Remote Sens. 2021, 13, 2731. https://doi.org/10.3390/ rs13142731

Feature Article: Liang, C. L., Mooney, S., Kurkalova, L., Roper, K., Hashemi-Beni, L. (2021). Best Practices and Lessons Learned in Grant Writing for Ag/Applied Economists to Engage in Interdisciplinary Studies. AETR Journal, Vol. 3.


Hashemi-Beni, L., & Gebrehiwot, A. A. (2021). Flood Extent Mapping: An Integrated Method Using Deep Learning and Region Growing Using UAV Optical Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 2127-2135.

Gebrehiwot, A.A; Hashemi-Beni, L. Three-Dimensional Inundation Mapping Using UAV Image Segmentation and Digital Surface Model. ISPRS Int. J. Geo-Inf. 2021, 10, 144. 

Mulrooney, T., Foster, R., Jha, M., Hashemi-Beni, L., Kurkalova, L., Liang, C. L., & Monty, G. (2021). Using geospatial networking tools to optimize source locations as applied to the study of food availability: A study in Guilford County, North Carolina. Applied Geography, 128, 102415.

Liang, C. L., Kurkalova, L., Hashemi-Beni, L., Mulrooney, T., Jha, M., Miao, H., & Monty, G. (2021). Introducing an innovative design to examine human-environment dynamics of food deserts responding to COVID-19. Journal of Agriculture, Food Systems, and Community Development, 10(2), 1-11.


Gebrehiwot, A. and Hashemi-Beni, L. (2020). Automated Indunation Mapping: Comparison of Methods. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 3265-3268). IEEE.

McKee, T. and Hashemi-Beni, L. (2020). DEVELOPING GEOSPATIAL SCIENTISTS –USING STUDENTS AS PARTNERS IN DRONE RESEARCH. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-M-2-2020,69–72,2020.

Dhamankar, S. S., Hashemi-Beni, L., Kurkalova, L., Liang, C., Mulrooney, T., Jha, M., Monty, G., Miao, H. (2020). STUDY OF ACTIVE FARMLAND USE TO SUPPORT AGENT-BASED MODELING OF FOOD DESERTS. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-M-2-2020, 9–13, 2020.


Hashemi-Beni, L.andGebrehiwot, A. (2020). Deep Learning for Remote Sensing Image Classification for Agriculture Applications. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-M-2-2020, 51–54.

Gebrehiwot, A.andHashemi-Beni, L. (2020). A Method To Generate Flood Maps In 3d Using Dem And Deep Learning. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-M-2-2020, 25–28, 2020.2-2020-25-2020.


Miao, H., Hashemi-Beni, L., Mulrooney, T., Kurkalova, L. A., Liang, C. L., Jha, M., & Monty, G. (2020). SPATIAL DIFFERENCES IN FRESH VEGETABLE SPENDING: A CASE STUDY IN GUILFORD COUNTY, NORTH CAROLINA. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-M-2-2020, 73–77, 2020.

Miao, H., Liang, C. L., Jha, M. K., Hashemi Beni, L., Kurkalova, L. A., Mulrooney, T. J., & Monty, G. H. (2020). The Impact of Food Environment on Fresh Vegetable Consumption in North Carolina.