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Ph.D. in , Nottingham Trent University, (2002)

Articles

Coffer, M. M.., Graybill, D. D.., Whitman, P. J.., Schaeffer, B. A.., Salls, W. B.., Zimmerman, R. C.., Hill, V., Lebrasse, M. Cindy., Li, J., Keith, D. J.., Kaldy, J., Colarusso, P., Raulerson, G., Ward, D. and Kenworthy, W. Judson. (2023). Providing a framework for seagrass mapping in United States coastal ecosystems using high spatial resolution satellite imagery. Journal of Environmental Management 337 , pp. 117669.

Hill, V., Light, B., Steele, M. and Sybrandy, A. Lowy. (2022). Contrasting Sea‐Ice Algae Blooms in a Changing Arctic Documented by Autonomous Drifting Buoys. Journal of Geophysical Research: Oceans 127 (7).

Coffer, M. M.., Whitman, P. J.., Schaeffer, B. A.., Hill, V., Zimmerman, R. C.., Salls, W. B.., Lebrasse, M. C.. and Graybill, D. D.. (2022). Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite imagery of aquatic systems. International Journal of Remote Sensing 43 (4) , pp. 1199-1225.

First, M., Riley, S., Islam, K. Aminul., Hill, V., Li, J., Zimmerman, R. and Drake, L. (2021). Rapid quantification of biofouling with an inexpensive, underwater camera and image analysis. Management of Biological Invasions 12 (3) , pp. 599-617.

Coffer, M. M.., Schaeffer, B. A.., Zimmerman, R. C.., Hill, V., Li, J., Islam, K. A.. and Whitman, P. J.. (2020). Performance across WorldView-2 and RapidEye for reproducible seagrass mapping. Remote Sensing of Environment 250 , pp. 112036.

Ardyna, M., Mundy, C. J.., Mayot, N., Matthes, L. C.., Oziel, L., Horvat, C., Leu, E., Assmy, P., Hill, V., Matrai, P. A.., Gale, M., Melnikov, I. A.. and Arrigo, K. R.. (2020). Under-Ice Phytoplankton Blooms: Shedding Light on the “Invisible” Part of Arctic Primary Production. Frontiers in Marine Science 7.

Perez, D., Islam, K., Hill, V., Zimmerman, R., Schaeffer, B., Shen, Y. and Li, J. (2020). Quantifying Seagrass Distribution in Coastal Water with Deep Learning Models. Remote Sensing 12 (10) , pp. 1581.

Hill, V., Ardyna, M., Lee, S. H.. and Varela, D. E.. (2018). Decadal trends in phytoplankton production in the Pacific Arctic Region from 1950 to 2012. Deep Sea Research Part II: Topical Studies in Oceanography 152 , pp. 82-94.

Zhang, J., Ashjian, C., Campbell, R., Spitz, Y. H.., Steele, M. and Hill, V. (2015). The influence of sea ice and snow cover and nutrient availability on the formation of massive under-ice phytoplankton blooms in the Chukchi Sea. Deep Sea Research Part II: Topical Studies in Oceanography 118 , pp. 122-135.

Matsuoka, A., Hill, V., Huot, Y., Babin, M. and Bricaud, A. (2011). Seasonal variability in the light absorption properties of western Arctic waters: Parameterization of the individual components of absorption for ocean color applications. Journal of Geophysical Research 116 (C2).

Campbell, R. G.., Sherr, E. B.., Ashjian, C. J.., Plourde, S., Sherr, B. F.., Hill, V. and Stockwell, D. A.. (2009). Mesozooplankton prey preference and grazing impact in the western Arctic Ocean. Deep Sea Research Part II: Topical Studies in Oceanography 56 (17) , pp. 1274-1289.

Book Chapters

Pérez, D., Islam, K., Hill, V., Zimmerman, R., Schaeffer, B. and Li, J. (2018). DeepCoast: Quantifying Seagrass Distribution in Coastal Water Through Deep Capsule Networks Lecture Notes in Computer Science (pp. 404-416) Springer International Publishing.

Islam, K. Aminul., Pérez, D., Hill, V., Schaeffer, B., Zimmerman, R. and Li, J. (2018). Seagrass Detection in Coastal Water Through Deep Capsule Networks Lecture Notes in Computer Science (pp. 320-331) Springer International Publishing.

Conference Proceeding

Wu, E., Islam, K., Li, J., Lebrasse, M. Cindy., Hill, V. and Zimmerman, R. (2021). An Active Learning Model for Seagrass Detection in Remote Senseing Imagery 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 0113-0118) IEEE.

Islam, K. Aminul., Hill, V., Schaeffer, B., Zimmerman, R. and Li, J. (2019). Semi-Supervised Adversarial Domain Adaptation for Seagrass Detection in Multispectral Images 2019 IEEE International Conference on Data Mining (ICDM) (pp. 1120-1125) IEEE.

Ul Hoque, M. Reshad., Islam, K. Aminul., Perez, D., Hill, V., Schaeffer, B., Zimmerman, R. and Li, J. (2018). Seagrass Propeller Scar Detection using Deep Convolutional Neural Network 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (pp. 659-665) IEEE.

Bachmann, C. M.., Montes, M. J.., Fusina, R. A.., Korwan, D., Parrish, C., Sellars, J., Weidemann, A., Goode, W., Nichols, C. Reid., Woodward, P., McIlhany, K., Hill, V., Zimmerman, R., Truitt, B. and Schwarzschild, A. (2008). Very Shallow Water Bathymetry Retrieval from Hyperspectral Imagery at the Virginia Coast Reserve (VCR'07) Multi-Sensor Campaign IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium (pp. II-125-II-128) IEEE.