Satellite Image-Based Time Series Observations of Vegetation Response to Hurricane Irma in the Lower Florida Keys

  • Jan SvejkovskyEmail author
  • Danielle E. Ogurcak
  • Michael S. Ross
  • Alex Arkowitz
Special Issue: Impact of 2017 Hurricanes


High-resolution satellite imaging represents a potentially effective technique to monitor cyclone-caused environmental damage and recovery over large areas at a high spatial scale. This study utilized a 10-m resolution Sentinel satellite image series to document vegetation changes in a portion of the Florida Keys, USA, over which the core of Category 4 Hurricane Irma passed on 10 September 2017. A previously assembled field survey was used to establish land-cover patterns in the satellite data, and concurrent field measurements verified post-hurricane changes. Normalized difference vegetation index (NDVI) was utilized as a tracer for pre-storm baseline patterns and through 19 post-storm months. NDVI patterns show that the severity of vegetation damage varied appreciably across the area, with the least damage on islands in the western sector of the hurricane’s eye and around its center, and greatest damage on islands just east of the eye. The data reveal that for 2.5 months after the storm, multiple inland vegetation classes showed substantial early regrowth. However, mangrove forests were more negatively affected. The storm caused extensive mortality of black mangrove (Avicennia germinans) and red mangrove (Rhizophora mangle), corresponding to more than 40% of the total mangrove area on some islands. The full extent of mangrove die-off was not immediately evident, and increased progressively through the first few months after the storm. In addition to demonstrating the utility of high-resolution satellite image series for post-hurricane environmental assessment, this study reveals high-resolution links between vegetation types, their location within the cyclone, and the extent of post-storm recovery.


Hurricane Irma Remote sensing NDVI Image series Mangroves 



The satellite processing/analysis and field sampling work on this project were funded by Ocean Imaging Corporation. We thank Collin Forbes for the drone photography work. We also thank Chris Bergh from The Nature Conservancy for coordinating this project’s team. This is contribution number 941 from the Southeast Environmental Research Center in the Institute of Environment at Florida International University.


  1. Ayala-Silva, T., and Y.A. Twumasi. 2004. Hurricane Georges and vegetation change in Puerto Rico using AVHRR satellite data. International Journal of Remote Sensing 25 (9): 1629–1640.CrossRefGoogle Scholar
  2. Barr, J.G., V. Engel, T.J. Smith, and J.D. Fuentes. 2012. Hurricane disturbance and recovery of energy balance, CO2 fluxes and canopy structure in a mangrove forest of the Florida Everglades. Agricultural and Forest Meteorology 153: 54–66.CrossRefGoogle Scholar
  3. Birky, Alicia K. 2001. NDVI and a simple model of deciduous forest seasonal dynamics. Ecological Modeling 143: 43–58.CrossRefGoogle Scholar
  4. Boose, E.R., M.I. Serrano, and D.R. Foster. 2004. Landscape and regional impacts of hurricanes in Puerto Rico. Ecological Monographs 74 (2): 335–352.CrossRefGoogle Scholar
  5. Cahoon, D.R., P. Hensel, J. Rybczyk, K.L. McKee, C.E. Proffitt, and B.C. Perez. 2003. Mass tree mortality leads to mangrove peat collapse at Bay Islands, Honduras after hurricane Mitch. Journal of Ecology 91 (6): 1093–1105.CrossRefGoogle Scholar
  6. Cangialosi, J.P., A.S. Latto, and R. Berg. 2018. National Hurricane Center Tropical Cyclone Report, Hurricane Irma. NOAA 22pp.Google Scholar
  7. Carlson, T.N., and D.A. Ripley. 1997. On the relation between NDVI, fractional vegetation cover and leaf area index. Remote Sensing of Environment 62: 241–252.CrossRefGoogle Scholar
  8. Craighead, F.C., and V.C. Gilbert. 1962. The effects of Hurricane Donna on the vegetation of southern Florida. Quarterly Journal Florida Academy of Sciences 25: 1–28.Google Scholar
  9. Ellison, J.C. 1998. Impacts of sediment burial on mangroves. Marine Pollution Bulletin 37 (8–12): 420–426.Google Scholar
  10. ESA. 2019b. Sentinel User Guides. . Accessed 6 October 2019.
  11. Esri. 2019. The 15 worst hurricanes in Florida Keys history. Accessed 17 December 2019.
  12. Everham, E.M., III, and N.V.L. Brokaw. 1996. Forest damage and recovery from catastrophic wind. Botanical Review 62: 113–185.CrossRefGoogle Scholar
  13. Gao, B.C. 1996. NDWI – A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment 58: 257–266.CrossRefGoogle Scholar
  14. Han, X., L. Feng, C. Hu, and P. Kramer. 2018. Hurricane-induced changes in Everglades National Park mangrove forest: Landsat observations between 1985 and 2017. Journal of Geophysical Research: Biogeosciences 123: 3470–3488.Google Scholar
  15. Hu, T., and R.B. Smith. 2018. The impact of Hurricane Maria on the vegetation of Dominica and Puerto Rico using multispectral remote sensing. Remote Sensing 10 (6): 827.CrossRefGoogle Scholar
  16. Kasper, K. 2007. Hurricane Wilma in the Florida keys. NOAA Accessed 9 August 2019.
  17. Kiflai, M.E., D. Whitman, D.E. Ogurcak, and M. Ross. 2019. The effect of Hurricane Irma storm surge on the freshwater lens in Big Pine Key, Florida using electrical resistivity tomography. Estuaries and Coasts: 1–13.
  18. Lee, S.K., W.H. Tan, and S. Havanond. 1996. Regeneration and colonization of mangrove on clay-filled reclaimed land in Singapore. Hydrobiologia 319 (1): 23–35.CrossRefGoogle Scholar
  19. Lewis, R.R. 2009. Methods and criteria for successful mangrove forest restoration. In Coastal Wetlands: An Integrated Ecosystem Approach, ed. G.M.E. Perillo, E. Wolanski, D.R. Cahoon, and M.M. Brinson, 787–800. Elsevier Press.Google Scholar
  20. Lüdeke, M., A. Janecek, and G.H. Kohlmaier. 1991. Modelling the seasonal CO2 uptake by land vegetation using the global vegetation index. Tellus 43B: 188–196.CrossRefGoogle Scholar
  21. Neukermans, G., F. Dahdouh-Guebas, J.G. Kairo, and N. Koedam. 2008. Mangrove species and stand mapping in Gazi Bay (Kenya) using Quickbird satellite imagery. Spatial Science 53 (1): 75–84.CrossRefGoogle Scholar
  22. NOAA. 2014. Accessed 9 August 2019.
  23. NOAA. 2019. Florida Keys Climate Data. Accessed 9 August 2019.
  24. Ogurcak, D. E. 2015. The effect of disturbance and freshwater availability on lower Florida keys’ coastal Forest dynamics. FIU Electronic Theses and Dissertations. 2288.
  25. Pettorelli, N. 2013. The normalized difference vegetation index. Oxford Press 213pp.Google Scholar
  26. Radabaugh, K.R., R.P. Moyer, A.R. Chappel, E.E. Dontis, C.E. Russo, K.M. Joyse, M.W. Bownik, A.H. Goeckner, and N.S. Khan. 2019. Mangrove damage, delayed mortality, and early recovery following hurricane Irma at two landfall sites in Southwest Florida, USA. Estuaries and Coasts.Google Scholar
  27. Ramsey, E.W., D.K. Chappell, D.M. Jacobs, S.K. Sapkota, and D.G. Baldwin. 1998. Resource management of forested wetlands: Hurricane impact and recovery mapped by combining Landsat TM and NOAA AVHRR data. Photogrammetric Engineering and Remote Sensing 64 (7): 733–738.Google Scholar
  28. Rodgers, J., A. Murrah, and W. Cooke. 2009. The impact of Hurricane Katrina on the coastal vegetation of the Weeks Bay Reserve, Alabama from NDVI data. Estuaries and Coasts 32: 496–507.CrossRefGoogle Scholar
  29. Ross, M.S., J.J. O’Brien, and L.J. Flynn. 1992. Ecological site classification of Florida Keys terrestrial habitats. Biotropica 24: 488–502.CrossRefGoogle Scholar
  30. Ross, M.S., D.E. Ogurcak, S. Stoffella, J.P. Sah, J. Hernandez, and H. Willoughby. 2019. Hurricane Irma and the structural decline of pine forests on a low Florida Keys island. Estuaries and Coasts: 1–13.
  31. Smith, T.J., III, M.B. Robblee, H.R. Wanless, and T.W. Doyle. 1994. Mangroves, hurricanes, and lightning strikes. BioScience 44: 256–262.CrossRefGoogle Scholar
  32. Smith, T.J., III, G.H. Anderson, K. Balentine, G. Tiling, G.A. Ward, and K.R. Whelan. 2009. Cumulative impacts of hurricanes on Florida mangrove ecosystems: Sediment deposition, storm surges and vegetation. Wetlands 29 (1): 24–34.CrossRefGoogle Scholar
  33. Steyer, G.D., B.R. Couvillion, and J.A. Barras. 2013. Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices. Journal of Coastal Research 63: 118–130.CrossRefGoogle Scholar
  34. Tanner, E.V.J., V. Kapos, and J.R. Healey. 1991. Hurricane effects on forest ecosystems in the Caribbean. Biotropica 23 (4a): 513–521.CrossRefGoogle Scholar
  35. Terrados, J., U. Thampanya, N. Srichai, P. Kheowvongsri, O. GeertzHansen, S. Boromthanarath, N. Panapitukkul, and C.M. Duarte. 1997. The effect of increased sediment accretion on the survival and growth of Rhizophora apiculate seedlings. Estuarine, Coastal and Shelf Science 45 (5): 697–701.CrossRefGoogle Scholar
  36. Thompson, D.A. 1983. Effects of Hurricane Allen on some Jamaican forests. Commonwealth Forestry Review 62: 107–115.Google Scholar
  37. Vijay, V., R. S. Biradar, A. B. Inamdar, G. Deshmukhe, S. Baji, and M. Pikle. 2005. Mangrove mapping and change detection around Mumbai (Bombay) using remotely sensed data. Indian Journal of Marine Sciences 34 (3): 310–315.Google Scholar
  38. Wadsworth, F.H., and G.H. Englerth. 1959. Effects of the 1956 hurricane on forests in Puerto Rico. Caribbean Forester 20: 38–51.Google Scholar
  39. Walker, L.R., D.J. Lodge, N.V.L. Brokaw, and R.B. Waide. 1991. An introduction to hurricanes in the Caribbean. Biotropica 23: 313–331.CrossRefGoogle Scholar
  40. Wan, L., H. Zhang, T. Wang, and H. Lin. 2018. Mangrove species discrimination from very high resolution im agery using Gaussian Markov random field model. Wetlands 38 (5): 861–874.CrossRefGoogle Scholar
  41. Wang, Q., S. Adiku, J. Tenhunen, and A. Granier. 2005. On the relationship of NDVI with leaf area index in a deciduous forest site. Remote Sensing of Environment 94: 244–255.CrossRefGoogle Scholar
  42. Wdowinski, S., R. Bray, B.P. Kirtman, and Z. Wu. 2016. Increasing flooding hazard in coastal communities due to rising sea level: Case study of Miami Beach, Florida. Ocean & Coastal Management 126: 1–8.CrossRefGoogle Scholar
  43. Zhang, K., M. Ross, D. Ogurcak, and P. Houle. 2010. Lower Florida Keys digital terrain model and vegetation analysis for the National Key Deer Refuge. Final report. US Fish and Wildlife Service.Google Scholar
  44. Zhang, K., B. Thapa, M. Ross, and D. Gann. 2016. Remote sensing of seasonal changes and disturbances in mangrove forest: A case study from South Florida. Ecosphere 7 (6): 1–23.CrossRefGoogle Scholar
  45. Zhang, C., S.D. Durgan, and D. Lagomasino. 2019. Modeling risk of mangroves to tropical cyclones: A case study for hurricane Irma. Estuarine, Coastal and Shelf Science 224: 108–116.CrossRefGoogle Scholar
  46. Zimmerman, J.K., E.M. Everham III, R.B. Waide, D.J. Lodge, C.M. Taylor, and N.V.L. Brokaw. 1994. Responses of tree species to hurricane winds in subtropical wet forest in Puerto Rico: Implications for tropical tree life histories. Journal of Ecology 82: 911–922.CrossRefGoogle Scholar

Copyright information

© Coastal and Estuarine Research Federation 2020

Authors and Affiliations

  1. 1.Ocean Imaging Corp.LittletonUSA
  2. 2.Institute of Environment, Florida International UniversityMiamiUSA
  3. 3.Southeast Environmental Research Center and Department of Earth & Environment FloridaInternational UniversityMiamiUSA

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