Dronova, I., Taddeo, S. and Harris, K., 2022. Plant diversity reduces satellite-observed phenological variability in wetlands at a national scale. Science Advances, 8(29), p.eabl8214. https://www.science.org/doi/full/10.1126/sciadv.abl8214
Kephart, J.L., Sánchez, B.N., Moore, J., Schinasi, L.H., Bakhtsiyarava, M., Ju, Y., Gouveia, N., Caiaffa, W.T., Dronova, I., Arunachalam, S. and Diez Roux, A.V., 2022. City-level impact of extreme temperatures and mortality in Latin America. Nature Medicine, pp.1-6. https://www.nature.com/articles/s41591-022-01872-6
Dronova, I. & Taddeo, S. (2022). Remote sensing of phenology: Towards the comprehensive indicators of plant community dynamics from species to regional scales. Journal of Ecology, 00, 1– 25. https://doi.org/10.1111/1365-2745.13897
Dronova I, Taddeo S, Hemes KS, Knox SH, Valach A, Oikawa PY, Kasak K, Baldocchi DD. 2021. Remotely sensed phenological heterogeneity of restored wetlands: linking vegetation structure and function. Agricultural and Forest Meteorology 296:108215. https://doi.org/10.1016/j.agrformet.2020.108215
Dronova I. 2019. Landscape beauty: a wicked problem in sustainable ecosystem management? Science of the Total Environment 688:584-591. https://doi.org/10.1016/j.scitotenv.2019.06.248
Taddeo S, Dronova I, Harris K. 2019. The potential of satellite greenness to predict plant diversity among wetland types, ecoregions, and disturbance levels. Ecological Applications 29(7), 2019, e01961 https://doi.org/10.1002/eap.1961
Taddeo S, Dronova I. 2018. Indicators of vegetation development in restored wetlands. Ecological Indicators. 94:454-467. https://doi.org/10.1016/j.ecolind.2018.07.010
Dronova I. 2017. Environmental heterogeneity as a bridge between ecosystem service and visual quality objectives in management, planning and design. Landscape & Urban Planning 163:90-106. https://doi.org/10.1016/j.landurbplan.2017.03.005
Dronova, I. 2015. Object-based image analysis in wetland research: a review. Remote Sensing 7: 6380-6413. https://doi.org/10.3390/rs70506380