Evaluation of field-measured vertical obscuration and full waveform lidar to assess salt marsh vegetation biophysical parameters

Abstract Local, high-resolution, accurate data sets are needed to support restoration and other management initiatives in coastal salt marshes, yet field collections of site-specific vegetation data is often impractical. In this study, a novel combination of full-waveform light detection and ranging (lidar) and field techniques for assessing the distribution of aboveground biomass throughout its height and its light blocking properties were investigated. Using new field methods, strong correlations were observed (r > 0.9) between subsamples' vertical biomass (VB), the distribution of vegetation biomass by height, and vertical obscuration (VO), the measure of the vertical distribution of the ratio of vegetation to airspace, for Spartina alterniflora . Also, it was found that simple metrics derived from the lidar waveforms, such as waveform width, can provide new information to estimate salt marsh vegetation parameters. The strong correlations between field-collected biophysical parameters and metrics derived from lidar data suggest that remote sensing methods can be used to estimate some vegetation biophysical parameters such as plant height and proportion of vegetation area (PVA) using smaller, more targeted field surveys. Future work will be needed to verify the extensibility of the methods to other sites and vegetation types.

[1]  J. Brock,et al.  Evaluating A Small Footprint, Waveform-resolving Lidar Over Coastal Vegetation Communities , 2006 .

[2]  Antero Kukko,et al.  Effect of incidence angle on laser scanner intensity and surface data. , 2008, Applied optics.

[3]  Iris Möller,et al.  Quantifying saltmarsh vegetation and its effect on wave height dissipation: Results from a UK East coast saltmarsh , 2006 .

[4]  D. Kaplan,et al.  Macronutrient status of tall and short forms of Spartina alterniflora in a South Carolina salt marsh , 1989 .

[5]  R. Dubayah,et al.  Estimation of tropical forest structural characteristics using large-footprint lidar , 2002 .

[6]  A. Zehm,et al.  Multiparameter analysis of vertical vegetation structure based on digital image processing , 2003 .

[7]  John F. Schalles,et al.  Landscape Estimates of Habitat Types, Plant Biomass, and Invertebrate Densities in a Georgia Salt Marsh , 2013 .

[8]  Mark D. Bertness,et al.  Structure and organization of a northern New England salt marsh plant community , 2004 .

[9]  R. J. Reimold,et al.  REMOTE SENSING OF TIDAL MARSH , 1973 .

[10]  Frédéric Bretar,et al.  Full-waveform topographic lidar : State-of-the-art , 2009 .

[11]  J. Shan,et al.  Combining Lidar Elevation Data and IKONOS Multispectral Imagery for Coastal Classification Mapping , 2003 .

[12]  Brian L. Howes,et al.  Factors controlling the growth form of Spartina alterniflora: feedbacks between above-ground production, sediment oxidation, nitrogen and salinity , 1986 .

[13]  R. Wiegert,et al.  Tidal salt marshes of the Southeast Atlantic Coast: a community profile , 1990 .

[14]  John C. Brock,et al.  Small‐footprint, waveform‐resolving lidar estimation of submerged and sub‐canopy topography in coastal environments , 2009 .

[15]  Thomas Adams,et al.  Extracting More Data from LiDAR in Forested Areas by Analyzing Waveform Shape , 2012, Remote. Sens..

[16]  S. Silvestri,et al.  Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing , 2006 .

[17]  R. Dubayah,et al.  Integrating waveform lidar with hyperspectral imagery for inventory of a northern temperate forest , 2008 .

[18]  A. Hastings,et al.  Use of lidar to study changes associated with Spartina invasion in San Francisco bay marshes , 2006 .

[19]  Brian R. Calder,et al.  Assessment of Waveform Features for Lidar Uncertainty Modeling in a Coastal Salt Marsh Environment , 2014, IEEE Geoscience and Remote Sensing Letters.

[20]  Geoffrey M. Henebry,et al.  Analysis of Waveform Lidar Data Using Shape-Based Metrics , 2013, IEEE Geoscience and Remote Sensing Letters.

[21]  Uwe Stilla,et al.  Range determination with waveform recording laser systems using a Wiener Filter , 2006 .

[22]  G. Giese,et al.  The Late Quaternary Construction of Cape Cod, Massachusetts: A Reconsideration of the W.M. Davis Model , 1996 .

[23]  M. Treshow,et al.  A review of environmental and genetic factors that affect height inSpartina alterniflora loisel. (Salt marsh cord grass) , 1980 .

[24]  Michael Nobis,et al.  Automatic thresholding for hemispherical canopy-photographs based on edge detection , 2005 .

[25]  C. Hopkinson,et al.  Salt Marsh Geomorphological Analyses via Integration of Multitemporal Multispectral Remote Sensing with LIDAR and GIS , 2010 .

[26]  C. Mallet,et al.  Terrain surfaces and 3-D landcover classification from small footprint full-waveform lidar data: application to badlands , 2009 .

[27]  Stephen M. Smith Multi-Decadal Changes in Salt Marshes of Cape Cod, MA: Photographic Analyses of Vegetation Loss, Species Shifts, and Geomorphic Change , 2009 .

[28]  R. Dubayah,et al.  Lidar Remote Sensing for Forestry , 2000, Journal of Forestry.

[29]  Andrea Rinaldo,et al.  On the drainage density of tidal networks , 2001 .

[30]  Aaron M. Ellison,et al.  Determinants of Pattern in a New England Salt Marsh Plant Community , 1987 .

[31]  C. Hladik,et al.  Salt Marsh Elevation and Habitat Mapping Using Hyperspectral and LIDAR Data , 2013 .

[32]  Nicolas Baghdadi,et al.  Wa-LiD: A New LiDAR Simulator for Waters , 2012, IEEE Geoscience and Remote Sensing Letters.

[33]  Ibon Galparsoro,et al.  Coastal and estuarine habitat mapping, using LIDAR height and intensity and multi-spectral imagery , 2008 .

[34]  J. Bryan Blair,et al.  Mapping biomass and stress in the Sierra Nevada using lidar and hyperspectral data fusion , 2011 .

[35]  R. O'Neill,et al.  The value of the world's ecosystem services and natural capital , 1997, Nature.

[36]  Francisco J. Artigas,et al.  Spectral discrimination of marsh vegetation types in the New Jersey Meadowlands, USA , 2006, Wetlands.

[37]  Betsy Haskin,et al.  A 5‐yr Record of Aerial Primary Production and Stand Characteristics of Spartina Alterniflora , 1990 .

[38]  Jord Jurriaan Warmink,et al.  Two novel methods for field measurements of hydrodynamic density of floodplain vegetation using terrestrial laser scanning and digital parallel photography , 2007 .

[39]  C. Hladik,et al.  Accuracy assessment and correction of a LIDAR-derived salt marsh digital elevation model , 2012 .

[40]  A. M. Muir Wood Tides and Currents , 1969 .

[41]  Brian Hadley,et al.  Vertical Accuracy and Use of Topographic LIDAR Data in Coastal Marshes , 2011 .

[42]  U. Neumeier Quantification of vertical density variations of salt-marsh vegetation , 2005 .