Shunmugapandi R, McCarry CL, McKee D and Mitchell C (2025) Ocean color anomaly detection to estimate surface Calanus finmarchicus concentration in the Gulf of Maine. Front. Mar. Sci. 12:1507638. doi: 10.3389/fmars.2025.1507638

Shunmugapandi, R., Gedam, S., & Inamdar, A. B. (2023). Impact of 2015–2016 El Niño on phytoplankton size class distribution during the summer and winter monsoon in the Arabian Sea. International Journal of Remote Sensing, 45(23), 9017–9032. https://doi.org/10.1080/01431161.2023.2295839.

Shunmugapandi, R., Gedam, S., & Inamdar, A. B. (2023). Impact of cyclone Ockhi on phytoplankton size classes structure in the Arabian Sea. International Journal of Remote Sensing, 45(23), 8686–8702. https://doi.org/10.1080/01431161.2023.2229499.

Shunmugapandi, R.; Gedam, S.; Inamdar, A.B. Impact of Indian Ocean Dipole Events on Phytoplankton Size Classes Distribution in the Arabian Sea. Oceans 2022, 3, 480-493. https://doi.org/10.3390/oceans3040032

R. Shunmugapandi, S. Gedam and A. B. Inamdar, "Phenology of Phytoplankton Size Classes in the Arabian Sea," in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 1503005, doi: 10.1109/LGRS.2021.3132660.

Shunmugapandi, R., Gedam, S., and Inamdar, A. B.: STUDY ON CYCLONE INDUCED PHYTOPLANKTON BLOOM IN THE ARABIAN SEA THROUGH GAP-FREE RECONSTRUCTED CHLOROPHYLL-A DATA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1391–1396, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1391-2020, 2020.

Shunmugapandi, R., Inamdar, A. B., & Gedam, S. K. (2020). Long-time-scale investigation of phytoplankton communities based on their size in the Arabian Sea. International Journal of Remote Sensing, 41(15), 5992–6009. https://doi.org/10.1080/01431161.2020.1714785

S. Rebekah, A. B. Inamdar and S. S. Gedam, "Long-Time-Scale Investigation of Phytoplankton Biomass Through Reconstructed Chlorophyll-A Data Using DINEOF Method," IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 7995-7998, doi: 10.1109/IGARSS.2019.8900061.