Using Bi-Seasonal WorldView-2 Multi-Spectral Data and Supervised Random Forest Classification to Map Coastal Plant Communities in Everglades National Park

Coastal plant communities are being transformed or lost because of sea level rise (SLR) and land-use change. In conjunction with SLR, the Florida Everglades ecosystem has undergone large-scale drainage and restoration, altering coastal vegetation throughout south Florida. To understand how coastal plant communities are changing over time, accurate mapping techniques are needed that can define plant communities at a fine-enough resolution to detect fine-scale changes. We explored using bi-seasonal versus single-season WorldView-2 satellite data to map three mangrove and four adjacent plant communities, including the buttonwood/glycophyte community that harbors the federally-endangered plant Chromolaena frustrata. Bi-seasonal data were more effective than single-season to differentiate all communities of interest. Bi-seasonal data combined with Light Detection and Ranging (LiDAR) elevation data were used to map coastal plant communities of a coastal stretch within Everglades National Park (ENP). Overall map accuracy was 86%. Black and red mangroves were the dominant communities and covered 50% of the study site. All the remaining communities had ≤10% cover, including the buttonwood/glycophyte community. ENP harbors 21 rare coastal species threatened by SLR. The spatially explicit, quantitative data provided by our map provides a fine-scale baseline for monitoring future change in these species’ habitats. Our results also offer a method to monitor vegetation change in other threatened habitats.

[1]  Mariana Belgiu,et al.  Random forest in remote sensing: A review of applications and future directions , 2016 .

[2]  C. Woodcock,et al.  Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation , 2013 .

[3]  Jing Li,et al.  A Review of Wetland Remote Sensing , 2017, Sensors.

[4]  L. Sternberg,et al.  Salinity, groundwater, and water uptake depth of plants in coastal uplands of Everglades National Park (Florida, USA) , 2015 .

[5]  Laurence Hubert-Moy,et al.  Combined use of LiDAR data and multispectral earth observation imagery for wetland habitat mapping , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[6]  Chandra P. Giri,et al.  Is the Geographic Range of Mangrove Forests in the Conterminous United States Really Expanding? , 2016, Sensors.

[7]  T. M. Chui,et al.  Evaluating the fate of freshwater lenses on atoll islands after eustatic sea-level rise and cyclone-driven inundation: A modelling approach , 2012 .

[8]  Le Wang,et al.  Photogrammetric Engineering & Remote Sensing Neural Network Classification of Mangrove Species from Multi-seasonal Ikonos Imagery , 2022 .

[9]  Max Kuhn,et al.  caret: Classification and Regression Training , 2015 .

[10]  L. Sternberg,et al.  Sea‐Level Rise and the Reduction in Pine Forests in the Florida Keys , 1994 .

[11]  Michael S. Ross,et al.  Vegetation Classification for South Florida Natural Areas , 2006 .

[12]  V. Radeloff,et al.  Phenological differences in Tasseled Cap indices improve deciduous forest classification , 2002 .

[13]  M. Noonan,et al.  A method for mapping the distribution of willow at a catchment scale using bi-seasonal SPOT5 imagery , 2007 .

[14]  J. Sah,et al.  The Southeast Saline Everglades revisited: 50 years of coastal vegetation change. , 2000 .

[15]  Kristie S. Wendelberger,et al.  Sea level rise and South Florida coastal forests , 2011 .

[16]  P. L. Ruiz,et al.  Compositional Effects of Sea-Level Rise in a Patchy Landscape: The Dynamics of Tree Islands in the Southeastern Coastal Everglades , 2014, Wetlands.

[17]  Roger Bivand,et al.  Bindings for the Geospatial Data Abstraction Library , 2015 .

[18]  Larisa R.G. DeSantis,et al.  Sea‐level rise and drought interactions accelerate forest decline on the Gulf Coast of Florida, USA , 2007 .

[19]  Robert J. Hijmans,et al.  Geographic Data Analysis and Modeling , 2015 .

[20]  R. Lawrence,et al.  Mapping wetlands and riparian areas using Landsat ETM+ imagery and decision-tree-based models , 2006, Wetlands.

[21]  Wei-Yin Loh,et al.  Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..

[22]  Peter Dalgaard,et al.  R Development Core Team (2010): R: A language and environment for statistical computing , 2010 .

[23]  D. Gann,et al.  Vegetation Trends in Indicator Regions of Everglades National Park , 2015 .

[24]  M. Tester,et al.  Mechanisms of salinity tolerance. , 2008, Annual review of plant biology.

[25]  E. Gaiser,et al.  Tracking rates of ecotone migration due to salt-water encroachment using fossil mollusks in coastal South Florida , 2006, Hydrobiologia.

[26]  K. P. Singh,et al.  Support vector machines in water quality management. , 2011, Analytica chimica acta.

[27]  Carlos M. Duarte,et al.  A blueprint for blue carbon: toward an improved understanding of the role of vegetated coastal habitats in sequestering CO2 , 2011 .

[28]  Kristie S. Wendelberger Evaluating plant community response to sea level rise and anthropogenic drying: Can life stage and competitive ability be used as indicators in guiding conservation actions? , 2016 .

[29]  G. Tang,et al.  Indian Hedgehog: A Mechanotransduction Mediator in Condylar Cartilage , 2004, Journal of dental research.

[30]  F. Flores-Verdugo,et al.  Forest structure, productivity and species phenology of mangroves in the La Mancha lagoon in the Atlantic coast of Mexico , 2011, Wetlands Ecology and Management.

[31]  S. Stehman Estimating area from an accuracy assessment error matrix , 2013 .

[32]  D. Cahoon,et al.  Elevated CO2 stimulates marsh elevation gain, counterbalancing sea-level rise , 2009, Proceedings of the National Academy of Sciences.

[33]  P. Moreno‐Casasola,et al.  Mangrove litter dynamics in La Mancha Lagoon, Veracruz, Mexico , 2008, Wetlands Ecology and Management.

[34]  Keqi Zhang Analysis of non-linear inundation from sea-level rise using LIDAR data: a case study for South Florida , 2011 .

[35]  V. Rivera‐Monroy,et al.  Allocation of biomass and net primary productivity of mangrove forests along environmental gradients in the Florida Coastal Everglades, USA , 2013 .

[36]  Steffen Gebhardt,et al.  Remote Sensing of Mangrove Ecosystems: A Review , 2011, Remote. Sens..

[37]  A. Cazenave,et al.  Sea-Level Rise and Its Impact on Coastal Zones , 2010, Science.

[38]  Robert D. Tortora,et al.  A Note on Sample Size Estimation for Multinomial Populations , 1978 .

[39]  Isabelle Guyon,et al.  An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..

[40]  P. Atkinson,et al.  Remote sensing of mangrove forest phenology and its environmental drivers , 2018 .

[41]  Frank Seidel,et al.  Flooding Patterns of the Okavango Wetland in Botswana between 1972 and 2000 , 2003, Ambio.

[42]  M. Kirwan,et al.  Tidal wetland stability in the face of human impacts and sea-level rise , 2013, Nature.

[43]  Le Wang,et al.  Distinguishing mangrove species with laboratory measurements of hyperspectral leaf reflectance , 2009 .

[44]  Jordan G. Barr,et al.  Controls on mangrove forest‐atmosphere carbon dioxide exchanges in western Everglades National Park , 2010 .

[45]  Consulting Services to Determine the Effectiveness of Vegetation Classification Using WorldView 2 Satellite Data for the Greater Everglades , 2012 .

[46]  R. Munns Comparative physiology of salt and water stress. , 2002, Plant, cell & environment.

[47]  Mahesh Pal,et al.  Random forest classifier for remote sensing classification , 2005 .

[48]  D. Civco,et al.  Integrating multi-temporal spectral and structural information to map wetland vegetation in a lower Connecticut River tidal marsh , 2008 .

[49]  D. Childers,et al.  A conceptual model of ecological interactions in the mangrove estuaries of the Florida Everglades , 2005, Wetlands.

[50]  Robert K. Colwell,et al.  Global Warming, Elevational Range Shifts, and Lowland Biotic Attrition in the Wet Tropics , 2008, Science.

[51]  T. Doyle,et al.  Sea-level rise and landscape change influence mangrove encroachment onto marsh in the Ten Thousand Islands region of Florida, USA , 2011 .

[52]  D. Alongi Mangrove forests: Resilience, protection from tsunamis, and responses to global climate change , 2008 .

[53]  G. Vázquez,et al.  Litterfall and Decomposition of Rhizophora mangle L. in a Coastal Lagoon in the Southern Gulf of Mexico , 2006, Hydrobiologia.

[54]  Sea-level rise and coastal forests on the Gulf of Mexico , 1999 .

[55]  R. Halley,et al.  The South Florida Environment: A Region Under Stress , 1996 .

[56]  T. J. Smith,et al.  The Ecology of the Mangroves of South Florida: A Community Profile , 2018 .